DOCUMENTATION AND PROCEDURAL UPDATES TO THE FLORIDA STANDARD URBAN

DOCUMENTATION AND PROCEDURAL UPDATES TO THEFLORIDA STANDARD URBAN TRANSPORTATION MODEL STRUCTURE

(FSUTMS)

FINALTECHNICAL REPORT NO. 3

FSUTMS TRIP GENERATION MODEL (GEN)

Prepared By

Florida Department of TransportationCentral Office, Systems Planning

June 1997

i

TABLE OF CONTENTS

Section Title Page

List of Tables iiList of Figures iiiList of Appendices iv

1 INTRODUCTION 1-1

2 HISTORICAL BACKGROUND 2-1Model Development Under the UTPS Era 2-1Model Conversion for TRANPLAN Interface 2-3

3 OVERVIEW OF MODEL STRUCTURE 3-1Preparation of Data 3-4GEN Step 3-4Trip Purposes 3 -11

4 DATA REQUIREMENTS 4-1ZDATA1 (Trip Production Data) 4-1ZDATA2 (Trip Attraction Data) 4-5ZDATA1 and ZDATA2 Development and Review 4-6

ZDATA3 (Special Generator Trips) 4-10ZDATA4 (Internal-External Trip Productions) 4-18

5 MODEL PARAMETERS AND RATES 5-1Comparison of Trip Production Rates (GRATES) 5-1Recommendation of New Production Rates 5-7Trip Attraction Rates 5-8Dwelling Unit Weights (DUWEIGHT) 5-11

6 MODEL OUTPUTS 6-1PRODS & ATTRS Files 6-1GEN.OUT File 6-1

7 FUTURE MODEL ENHANCEMENTS 7-1Influence of Lifestyle/Lifecycle on Trip Generation 7-1Travel Behavior of Seasonal Residents 7-2Analysis of Trip Attraction Rates 7-3Analysis of Hotel-Motel Trip Generation 7-3Update Special Generator Procedures 7-3Update Internal-External Trip Procedures 7-4Summary 7-5

ii

LIST OF TABLES

TableNumber Title Page

3-1 Sample Computation of Average Persons per Dwelling Unit 3-7

4-1 ZDATA1 File Format 4-4



4-4 FDOT Recommended Special Generators & Sample Computations 4-14

4-5 ZDATA4: File Format 4-20

5-1 GRATES File Format 5-5

5-2 Recommendations for Borrowing Trip Production Rates 5-9

5-3 Standard FSUTMS Trip Attraction Rates 5-10

5-4 DUWEIGHT File Format 5-13

iii

LIST OF FIGURES

FigureNumber Title Page

2-1 FSUTMS Model Flow: Non-Transit Process 2-4

3-1 Typical TAZ Map 3-2

3-2 FSUTMS Trip Generation Model Flow Chart 3-3

3-3 Typical FSUTMS DUWEIGHT Matrix 3-6

3-4 FSUTMS Trip Generation Model Cross-Classification Matrix 3-9

4-1 Annotated ZDATA1 File 4-3




5-1 Standard FSUTMS Trip Production Rates 5-3

5-2 Annotated GRATES File 5-4

5-3 Annotated DUWEIGHT File 5-12

5-4 Standard FSUTMS DUWEIGHT Matrix 5-14

iv

LIST OF APPENDICES

Appendix Title

A “GEN.ALL” File, GEN FORTRAN Code

B “GEN.OUT” File

C Definitions of ZDATA Variables

D Sample LUCHECK Output Files

E Updated Trip Production Rates

F Graphed Trip Production Rates

G Updated Dwelling Unit Weights

H Graphed Dwelling Unit Weights

FSUTMS GEN Model, Final Report (June 1997) Page 1-1

SECTION 1

INTRODUCTION

Trip generation may be defined as the study of the relationships between trips made in an area and

characteristics of the area such as land use, population, employment and other economic activity

measures. The Florida Standard Urban Transportation Model Structure (FSUTMS) trip generation

model is called “GEN.” Land use in trip generation models, including GEN, is described in terms

of the character, intensity, and location of activities; population is described in terms of household

attributes, assets, and modal accessibility.

In the FSUTMS model chain, the results of trip generation are used as input to the trip distribution,

modal choice and trip assignment models. Trip generation provides the link between land use and

travel which is essential to the transportation planning process.

Before an adequate understanding of trip generation can be achieved, the user must be familiar with

several key definitions. A trip is composed of two trip ends: a production end and an attraction end.

A production is defined as the home end of a home-based trip or the origin of a nonhome-based trip.

An attraction is the nonhome end of a home-based trip or the destination of a nonhome-based trip.

Trips produced at homes are attracted to areas of employment, education, recreation, shopping and

other activities to satisfy the reason for making the trip. Nonhome-based trips have both trip ends

at locations other than the traveler’s residence. (An example of a nonhome-based trip is a person

traveling from an office to a shopping center.)

The desired end product in trip generation analysis is an accurate identification and quantification

of trip ends beginning and ending in each traffic analysis zone within a transportation study area.

Thus, two sets of trip ends are identified: those produced by each zone and those attracted to each

zone. Later in the FSUTMS model chain during the trip distribution module, these trip ends are

paired. Each production-attraction pair forms one trip.


Trip generation modeling would be easier to grasp if the models were simply required to estimate

the total number of trip ends. The Instutute of Transportation Engineers (ITE) Trip Generation

manual, for example, provides rates and equations to estimate total trip ends by land use category.

Trip generation in a modeling context, however, must estimate the number of trip ends within several

trip purpose categories. This complication is necessary because trip purpose is critical to the accurate

prediction of travel behavior in steps following trip generation. FSUTMS uses seven trip purposes:

home-based work

home-based shop

home-based social/recreational

home-based other

nonhome-based

truck-taxi

internal-external

A trip’s purpose is important in determining trip length during the trip distribution module. For

example, people generally do not travel as far on a shopping trip as they would commuting to work.

Trip purpose also plays a significant part during the modal choice module. When estimating transit

use, the propensity to use public transit and carpools is higher for work trips than for other trip

purposes. When converting person-trips to vehicle-trips in the modal choice module, average

vehicle occupancies differ by trip purpose. For example, people commonly drive alone to work

although they rarely drive alone to the beach or other recreational activities. In the traffic assignment

module, trip purpose has been used in some specialized models to help indicate time-of-day travel

estimates. Modeling analysis for toll roads and high-occupancy vehicle facilities often focuses on

work trips, which predominate during peak hours.

When executing FSUTMS via the menu structure, GEN is the second step in the model chain,

although completion of the first step (EXT) is not required for GEN to be executed. The GEN

model’s two output datasets, PRODS and ATTRS, are used as inputs to the DISTRIB module later

in the model chain.


This report provides a detailed description of the FSUTMS trip generation model. Details are

provided in the remaining sections of this report:

Historical Background

Overview of Model Structure

Data Requirements

Model Parameters and Rates

Model Outputs

Future Model Enhancements

Sections 5 and 7 of the report contain discussion of new trip generation model parameters recently

developed for the Tampa Bay and Southeast Florida areas, which will probably affect the future

structure of the standard GEN model used by the rest of the state.


SECTION 2

HISTORICAL BACKGROUND

As discussed in Technical Report No. 1 (Overview of FSUTMS), the Florida Department of

Transportation began to standardize the structure of UTPS models for application in urbanized area

transportation studies throughout the State in 1978. This “Model Update” process was undertaken

in phases over several years, culminating in 1985 with the development of a microcomputer version

of FSUTMS to interface with the TRANPLAN travel demand software system. The

FSUTMS/TRANPLAN system has been enhanced over the years as new modeling techniques

continue to evolve and become incorporated into the process.

MODEL DEVELOPMENT UNDER THE UTPS ERA

The development of a standard trip generation model for Florida was one of the greatest

accomplishments of the Model Update studies. The development of the GEN model is described

in a report entitled "Urban Transportation Planning Model Update Task B: Review and Refinement

of Standard Trip Generation Model". As with other FSUTMS modules, GEN was originally

developed to interface with UTPS modeling programs.

The GEN model was originally configured for execution through the UTPS UMODEL program

(prior to the development of micro-FSUTMS). UMODEL was a general-purpose program designed

to provide a framework for user-furnished travel demand models including trip generation models.

Even though the GEN model was developed by FDOT, the tables used during model execution (trip

rates and dwelling unit weights) and the files output by the model (productions and attractions) were

originally formatted to be compatible with UMODEL.

Each urban area in Florida was using its own unique FORTRAN program for trip generation prior

to the development of the FSUTMS GEN program. However, the UMODEL program was generally

used as a framework for these individually coded trip generation programs. While UTPS and the

earlier FHWA PLANPAC packages did not provide any specific trip generation programs, many of

today's transportation modeling systems provide only limited trip generation capabilities without use


of a user-provided supplemental program such as GEN. Even TRANPLAN itself provides for only

the most simplistic trip rate analysis.

Most trip generation models can be categorized into one of three different types:

• Regression analysis which relates trip ends to the land use and socioeconomiccharacteristics of the traffic analysis zones in the study area. Regression analysis isusually based on data from origin-destination surveys which have been aggregated totraffic analysis zones.

• Cross-classification which classifies trip ends by characteristics of the households ordwelling units in the study area. Cross-classification uses origin-destination data at thedwelling unit level and is referred to as a disaggregate technique.

• Trip rate analysis which relates trip ends to factors such as land use, floor area, oremployment. The trip rate method is also a disaggregate technique.

The FSUTMS trip generation model does not use the regression approach but instead uses a combination of the other two

techniques listed above. The cross-classification technique is used during execution of GEN to generate home-based trip

productions for the following four trip purposes:

Home-based Work Home-based Shop Home-based Social/Recreation Home-based Other

GEN requires trip rate analysis for generation of trip attractions for the home-based trip purposes listed above and for the

remaining three FSUTMS trip purposes:

Nonhome-based Truck-Taxi Internal-External

After nonhome-based and truck-taxi attractions are calculated, FSUTMS sets the number of trip

productions in each zone equal to the number of trip attractions for these two purposes, as discussed

further in Section Three of this report. Internal-external productions are typically set to zero for all

internal TAZs.


MODEL CONVERSION FOR TRANPLAN INTERFACE

Certain components of the existing GEN model still maintain compatibility with the UMODEL

programs. In fact, the micro-FSUTMS GEN module includes use of the UMODEL format for its

two lookup table parameter files (GRATES, DUWEIGHT). The only significant modification made

to GEN during implementation of micro-FSUTMS was the alteration of trip production and trip

attraction file formats for compatibility with the input requirements of the TRANPLAN gravity

model program (GMODEL).

The TRANPLAN trip generation program, TRIPGEN, is not used in FSUTMS. The TRIPGEN

program does not allow for the cross-classification approach to trip generation used in FSUTMS.

TRIPGEN can only generate trips through application of simple trip rate analysis.

Figure 2-1 depicts the FSUTMS model flow for non-transit applications (the GEN model flow is no

different for transit applications). As indicated, GEN is usually preceded by the external travel

model (EXT) and is followed by the highway network building model (HNET).


SECTION 3

OVERVIEW OF MODEL STRUCTURE

The geographical unit analysis in the trip generation model is the traffic analysis zone, also referred

to as the TAZ. Socioeconomic data, used as input to the trip generation model, are defined for each

TAZ in the study area. Trip productions and attractions are also defined by TAZ. The configuration

of traffic analysis zone boundaries usually takes into account the following factors:

• geographic features• land use uniformity• configuration of transportation network• location of centroid connectors• location of major activity centers (special generators)• Census boundaries

Figure 3-1 depicts a typical urban TAZ map.

The development and execution of the GEN model requires completion of several steps. Some of

these steps occur during model execution, but others are accomplished prior to running the model.

This section will present an overview of the GEN model using the following step-by-step outline:

• Preparation of Data• GEN Step

The preparation of data is usually a manual process which occurs outside the model environment,

whereas the GEN step performs actual execution of the model. Figure 3-2 is a flow chart depicting

the model operations accomplished during execution of the GEN model. Appendix A depicts the

FSUTMS control file, “GEN.ALL,” used in directing model execution, as well as the FORTRAN

code used to compile the GEN executable program.


PREPARATION OF DATA

Four zone-based FSUTMS datasets are needed as input to the GEN model. These files are called “ZDATA1,”

“ZDATA2,” “ZDATA3” and “ZDATA4.” The format and specific contents for these files will be described in Section

4. The ZDATA1 file contains trip production-oriented zonal data. The development of a ZDATA1 file requires the

following information be available for each traffic analysis zone:

• Population (for single family, multi-family, and hotel/motel)• Number of Dwelling Units (for single family, multi-family, and hotel/motel)• Percent Auto Availability (for single family and multi-family)• Percent Vacant/Non-Permanent DUs (for single family and multi-family)• Percent Hotel/Motel Units Occupied

The ZDATA2 file includes data used to generate trip attractions. Data requirements include employment by three

categories: industrial, commercial, and service. Also included is school enrollment and optional parking cost data for use

in transit modeling. The ZDATA3 file is used to identify special generator trips. Special generators are major land use

activity centers which have unique trip generation characteristics that cannot be accurately emulated using the trip rate

tables or trip attraction formulas.

The ZDATA4 file contains internal-external (IE) trips for each external zone. The FSUTMS trip

generation model reads this file as IE trip productions and then estimates the number of IE trip

attractions for each internal traffic analysis zone based on the relative number of home-based and

nonhome-based attractions in each given TAZ.

GEN STEP

Unlike other FSUTMS modules which combine several TRANPLAN and FDOT-developed

programs, the trip generation module consists of one self-contained program which reads input files

and lookup tables, generates trip productions and attractions, balances attractions to productions, and

provides output files and summary tables. The following paragraphs summarize the GEN program

and its general operation.


The GEN program begins by reading two look-up tables of parameters, GRATES.SYN and DUWEIGHT.SYN, and four

zonal data files (ZDATA1-4). The formats for the look-up table parameter files are found in Section 5 of this report while

the zone data file formats are presented in Section 4.

Household Stratification

The DUWEIGHT file is used to apportion dwelling units for each zone (from ZDATA1) into five household size

categories (1, 2, 3, 4, 5+ persons per dwelling) based on the average number of persons per dwelling unit in each zone.

Persons per dwelling unit is computed for each zone by dividing population by dwelling units, excluding units that are

vacant or non-permanent. In other words, GEN does not assume that all dwellings in a given zone reflect the average

household composition. Rather, the dwelling unit matrix is used to estimate the number of households in each of the five

household size categories using average persons per dwelling unit as the determining factor. Figure 3-3 depicts a typical

DUWEIGHT matrix. Section 5 of this report provides specific recommendations on dwelling unit stratifications. Table

3-1 provides a sample computation of the average persons per dwelling unit and household stratification by zone using

a DUWEIGHT file.

Trip Productions

After apportioning households into five household size categories, the GEN model begins calculating trip productions.

The GRATES file contains trip production rates for four home-based trip purposes (referenced earlier in Section 1) using

a cross-classification matrix based on the following dimensions:

• dwelling unit type (single-family, multi-family, hotel/motel)

• auto availability (percent 0, 1, 2+ auto dwelling units)

• persons per dwelling unit (1, 2, 3, 4, 5+ persons per dwelling)

Dwelling unit type and auto availability, derived from the ZDATA1 file, are cross-classified with information on

households by size category, as described in the earlier discussion on Figure 3-3

FSUT

MS G

EN

Model, Final R

eport (June 1997)Page 3-6


TABLE 3-1

SAMPLE COMPUTATION OF AVERAGE PERSONS PER DWELLING UNIT

(USING PERCENT VACANT AND PERCENT VACANT/NON-PERMANENT )

Assumption: TAZ 1 has 100 single-family dwelling units (SFDU),

20 percent vacant/non-permanent dwelling units (SFVACNP),

10 percent vacant dwelling units (SFVAC),

and a permanent single-family population (SFPOP) of 300.

GEN Computation: 300 SFPOP/(100 SFDU * (1.00 - 0.20 SFVACNP)) = 300/100 * 0.80 = 300/80

=3.75 persons per dwelling unit in TAZ 1.

Using the typical FSUTMS DUWEIGHT MATRIX depicted later in Figure 5-7 of this report we find

that for an average household size of 3.75 that the following dwelling unit stratification is assumed

(category 3.63-3.87):

1 person per DU = 5%2 persons per DU = 20%3 persons per DU = 19%4 persons per DU = 23%5+ persons per DU = 33%

GEN would then subsequently multiply the 100 SFDUs in TAZ 1 by the percent vacant (10%) and

assume that 90 SFDUs are generating trips:

100 * (1.00 - 0.10) = 100 * 0.90 = 90 SFDUs

These 90 SFDUs are then stratified into household size categories based on DUWEIGHT data:

1 PPDU: 90 * 0.05 = 4.5 or 4 SFDUs2 PPDU: 90 * 0.20 = 18 SFDUs3 PPDU: 90 * 0.19 = 17 SFDUs4 PPDU: 90 * 0.23 = 20.7 or 21 SFDUs5+ PPDU: 90 * 0.33 = 29.7 or 30 SFDUs

The SFDUs are further stratified into auto availability categories and then the GRATES for each trip

purpose are applied to the number of dwellings in each of the trip production matrix.


DUWEIGHT. Figure 3-4 presents a typical FSUTMS cross-classification matrix used in the GEN model. The 35 cells

composing the matrix are numbered left-to-right for each row. A separate set of production rates is included for each of

the four home-based trip purposes. Standard default trip production rates are provided later in Section 5 of this r

To compute the number of zonal trip productions for a given trip purpose, the GEN model must identify how many

dwelling units in a particular zone fall into each of the 35 trip rate cells depicted in Figure 3-4. Using the production rates

in Figure 3-4 as an example, along with the following simplified assumptions, trip productions can be estimated for a

given zone:

100 single-family occupied dwelling units (ZDATA1) in zone

50 percent one-person households (DUWEIGHT) in zone

50 percent two-person households (DUWEIGHT) in zone

100 percent of households with one auto (ZDATA1) in zone

Using the trip production rates, referenced in Figure 3-4, for one-person/one-auto/single-family dwellings (0.50) and two-

person/one-auto/single-family dwellings (1.10), trip productions are calculated to be 80 for that zone ((0.50 * 50 DUs =

25 productions) + (1.10 * 50 DUs = 55 productions); 25 + 55 = 80). Of course, separate trip production rates exist for

each trip purpose, and most zones have more intricate auto availability, household size, and dwelling unit type assumptions

than this simple example.

Trip Attractions

After the program generates home-based trip productions, trip attractions are then calculated for each traffic analysis zone

for the following seven trip purposes:

• Home-Based Work (HBW)

• Home-Based Shop (HBSH)

• Home-Based Social/Recreation (HBSR)

• Home-Based Other (HBO)

Iwelling Number of Number of Persons in HouseholdJnit Type Autos Avail. 1 2 3 4 5+

0 0.40 0.80 1.15 1.40 1.55Single-

1 0 . 5 0 1.10 1.50 1.75 1.90‘amily

2+ 1.05 2.00 2.45 2.60 2.65

0 0.15 0.35 0.55 0.80 1.00Vlulti-

1 0.45 0.65 0.90 1.00 1.10‘amily

2+ 1.20 1.55 1.85 2.05 2.15

4otellMotel Units 0.25 0.20 0.15 0.10 0.10

f

I

FSUTMS TRIP GENERATION MODELCROSS-CLASSIFICATION MATRIX

Figure 3-4

Source: Florida Department of Transportation, “Urban Transportation Planning Model Update:Task B - Review & Refinement of Standard Trip Generation Model.”



• Nonhome-Based (NHB)

• Truck-Taxi (TT)

• Internal-External (IE)

Trip attractions, along with nonhome-based and truck-taxi trip productions, are calculated for each zone using a set of

attraction rates contained either within the GEN program (default rates) or the GRATES file (customized user-supplied

rates). The use of customized rates should be supported by survey data and fully documented. If “non-standard” trip

attraction rates are not specified, GEN will apply default rates already coded in the program.

The GEN model calculates person-trips for each trip purpose with the exception of truck-taxi and internal-external. These

latter two purposes include generation of vehicle trips only. Standard FSUTMS trip attraction rates are presented later

in Section 5. Nonhome-based and truck-taxi productions are assumed equal to the number of attractions generated in a

given zone using the standard attraction rates. Internal-external (IE) trip attractions are allocated to internal zones, based

on the “relative attractiveness” of a zone (i.e., the number of home-based and nonhome-based trip attractions already

calculated for a given zone), using the total number of IE trips from the ZDATA4 file as a control total. In other words,

zones with a large number of internal trip attractions will receive a greater share of IE attractions as well.

An example of computing trip attractions for a given zone would require assumptions about trip attraction rates and

employment for a given zone. If the trip attraction rate for home-based work trips is 1.8 trips per employee, and the total

employment in a zone were 100, this would equate to 180 home-based work attractions (1.8 * 100). This number of trip

attractions is later adjusted by the GEN program to balance attractions to productions.

Special Generators/Trip Balancing

After calculating trip productions and attractions by zone and trip purpose, using user-supplied or

default trip rates, the GEN model incorporates any special generator trips included in the ZDATA3

file. Once this step is complete, the GEN model adjusts the number of trip attractions in each TAZ


such that the total number of trip attractions for each purpose matches the trip production totals for

the same purpose. For example, if the GEN model computed 100,000 home-based work trip

productions and 200,000 home-based work trip attractions, the balancing process would reduce zonal

attractions by 50 percent to achieve the same totals for trip productions and attractions.

Output Files

The final step in the trip generation process is the outputting of trip production and attraction files

and the formatting of summary reports. Zonal trip productions are written to an output file called

"PRODS" and the trip attractions are contained in a file named "ATTRS". Reports are generated

which contain information on input assumptions (file names, rates) and final balanced productions

and attractions by purpose for each zone and for study area totals. These reports are discussed in

Section 6. An example of these reports may be found in the file "GEN.OUT" in Appendix B.

TRIP PURPOSES

In concluding this discussion of the GEN program, it is appropriate to explain the rationale behind the use of multiple trip

purposes in FSUTMS. The trip generation process would be far simpler if the model only needed to determine the total

number of trips, without regard to trip purpose. However, the added complexities of generating trips, by purpose are

designed into most travel models (including FSUTMS) for two reasons:

to increase the accuracy of simulations in subsequent modeling steps by accounting for variations in trip length

frequency distributions, average vehicle occupancy, and choice of travel mode which are characteristic of different

trip purposes; and

to simplify the evaluation of policies which alter the trip-making characteristics of a specific purpose, such as work

trips.

The first reason is by far the most important since policy analysis of the sort mentioned has historically seldom been

carried out in actual urban area studies. However, as a result of recent Federal and State transportation legislation, the

testing of policy alternatives has received a renewed emphasis in transportation planning.


The number of trip purposes used in national urban area studies generally ranges from three to nine or more, depending

on the size of the study area and the scope and objectives of the study. The TRANPLAN GRAVITY MODEL Program,

used by FSUTMS, can only process a maximum of eight trip purposes at once. Models that exceed this number of trips

require two passes of the Gravity Model during trip distribution (e.g., Orlando). Accordingly, trip purposes should be

included only when they explain a significant amount of the variation in trip-making behavior.


SECTION 4

DATA REQUIREMENTS

The data requirements are extensive for the FSUTMS Trip Generation Model. As described earlier,

the GEN model requires four socioeconomic data files as input. These are named as follows:

• ZDATA1 -- Trip Production Data

• ZDATA2 -- Trip Attraction Data

• ZDATA3 -- Special Generator Data

• ZDATA4 -- Internal-External Trip Productions

(As with execution of any FSUTMS model, a PROFILE.MAS file is also required in the urban area

“working directory.”) Zonal data files, or “ZDATA,” use standard FSUTMS file naming conventions

-- the file extension indicates the year and alternate (yya) scenario being modeled. For example, the

file “ZDATA1.90A” would contain 1990 trip production data for alternate “A.” The file contents

and formats used for each ZDATA file are presented in the following paragraphs.

ZDATA1 (TRIP PRODUCTION DATA)

The ZDATA1 file contains socioeconomic data used by the GEN model to generate trip productions.

As trips are generally produced at the home end of a trip, the ZDATA1 file is oriented toward

housing and population data. ZDATA1 contains the following data for each traffic analysis zone:

• Total Single-Family Dwelling Units• Percent Single-Family Dwelling Units Vacant or Not Occupied by Permanent Residents• Percent Single-Family Dwelling Units Vacant• Population in Single-Family Dwelling Units• Percent Single-Family Dwelling Units with 0 Autos Available• Percent Single-Family Dwelling Units with 1 Auto Available• Percent Single-Family Dwelling Units with 2+ Autos Available• Total Multi-Family Dwelling Units• Percent Multi-Family Dwelling Units Vacant or Not Occupied by Permanent Residents


• Percent Multi-Family Dwelling Units Vacant• Population in Multi-Family Dwelling Units• Percent Multi-Family Dwelling Units with 0 Autos Available• Percent Multi-Family Dwelling Units with 1 Auto Available• Percent Multi-Family Dwelling Units with 2+ Autos Available• Total Hotel-Motel (Transient) Units• Percent Hotel-Motel Units Occupied• Total Population in Hotel-Motel Units

Figure 4-1 depicts an annotated ZDATA1.yya file. The specific format and location of each

ZDATA1 field are presented in Table 4-1. Detailed definitions for each ZDATA1, ZDATA2 and

ZDATA3 variable are provided in Appendix C along with annotated sample ZDATA files. There

is one optional field: the sector field which is in columns 2-4 is used to specify a group of zones for

reporting. Examples of the use of sector numbers include downtown CBDs, counties, districts or

any other logical grouping of zones for which the user wishes to see summary statistics. The

LUCHECK program, which produces statistical summaries and error checks on the ZDATA1 and

ZDATA2 files and is described later in this section, generates a summary file grouped by sectors.

The U.S. Census is the primary data source for ZDATA1 requirements. The Census STF3A files

are a reliable source for information on population and dwelling unit composition including auto

availability and vacancy status. Hotel-motel data, however, must be derived from other sources such

as a local Chamber of Commerce or a telephone survey.

The 1990 census includes some cross-classification data for estimating the occurrence of

independent variables within standard model production cells. The most valuable data comes from

the Census Transportation Planning Package (CTPP). The number of households with automobiles

available by size of household and for type of structure by size of household will be estimated in the

CTPP.

In estimating independent variables, vehicle availability by type of dwelling unit (single- or multi-

family dwellings) and population by the type of dwelling unit will normally be estimated for zones

by local planning departments. These estimates have advantages over time for small areas. An

annual or biennial estimate can be prepared and time series trend analysis performed to identify

gradual changes in the averages between censuses. The standard model requires specific estimates

of number of households by size of household.

ZDATA1 (Productions) Input File Format

1 1 1 774 10 5 2245 6 52 42 6188 15 2 17920 10 60 30 47 90 560

1 1 2 0 10 5 0 6 52 42 0 15 2 0 10 60 30 0 90 0

1 2 3 374 10 5 748 21 60 19 529 15 2 062 10 60 30 0 90 0

1 2 4 187 10 5 374 21 60 19 88 15 2 177 10 60 30 0 90 0

1 2 5 281 10 5 562 21 60 19 441 15 2 885 10 60 30 0 90 0

1 2 6 93 10 5 187 21 60 19 706 15 2 1416 10 60 30 0 90 0

1 5 7 154 10 5 2616 10 60 30 615 15 2 1251 10 60 30 40 90 100

Single family data Multi-family data Hotel data

Sector

Zone

Total SF units(154)

% Seasonal + % vacant (10%)

% vacant (5%)

Population in SF, PersonsNOT % (2616 persons)

% 0 vehicles

% 1 vehicles

% 2+vehicles

Total MF units(615)

% Seasonal + % vacant (15%)

% vacant (2%)

Population in MF,Persons (1251 persons)

% 0 vehicles

% 1 vehicles

% 2 +vehicles

Number ofhotel rooms(40 rooms)

% Occupied (90%)

Population in Hotels (100 persons)

Record type (“1” indicatesZDATA1 File)

TABLE 4-l : ZDATAI FILE FORMAT

ZDATAI Production VariablesColumns Contents

A ‘1’ IS CODED ON EACH LINE TO INDICATE ZONAL DATA TYPE ONE1Z-45-89-1314-16

SECTOR NUMBER (OPTIONAL)

ZONE NUMBER

17-1920-24

TOTAL SINGLE FAMILY DWELLING UNITS

PERCENT SINGLE FAMILY DWELLING UNITS NOT OCCUPIED BY PERMANENT

RESIDENTS + PERCENT SINGLE FAMILY DWELLING UNITS VACANTPERCENT SINGLE FAMILY DWELLING UNITS VACANT

POPULATION IN SINGLE FAMILY DWELLING UNITS OCCUPIED BY PERMANENT

RESIDENTS

25-27

28-30

31-33

34-3839-41

PERCENT HOUSEHOLDS HAVING NO VEHICLES IN SINGLE FAMILY DWELLING

UNITS OCCUPIED BY PERMANENT RESIDENTS

PERCENT HOUSEHOLDS HAVING ONE VEHICLE IN SINGLE FAMILY DWELLING


PERCENT HOUSEHOLDS HAVING TWO OR MORE VEHICLES IN SINGLE FAMILY

DWELLING UNITS OCCUPIED BY PERMANENT RESIDENTS

MULTI-FAMILY DWELLING UNITS

42-4445-49

50-52

53-55

56-58

59-6364-66$7-7172-80

PERCENT MULTI-FAMILY DWELLING UNITS NOT OCCUPIED BY PERMANENT

RESIDENTS + PERCENT MULTI-FAMILY DWELLING UNITS VACANT

PERCENT MULTI-FAMILY DWELLING UNITS VACANT

POPULATION IN MULTI-FAMILY DWELLING UNITS OCCUPIED BY PERMANENT

RESIDENTSPERCENT HOUSEHOLDS HAVING NO VEHICLE IN MULTI-FAMILY DWELLING


PERCENT HOUSEHOLDS HAVING ONE VEHICLE IN MULTI-FAMILY DWELLING


PERCENT HOUSEHOLDS HAVING TWO OR MORE VEHICLES IN MULTI-FAMILY

DWELLING UNITS OCCUPIED BY PERMANENT RESIDENTS

TOTAL HOTEL-MOTEL UNITS

PERCENT HOTEL-MOTEL UNITS OCCUPIED

TOTAL POPULATION IN OCCUPIED HOTEL-MOTEL UNITS

~AVA~LABLE To USER (U N RESTRICTED)

\lotes: (1) All data must be coded, right-justified, with no leading zeros.(2) All percentages must be in whole units (e.g. 10 = 10 Percent).



Stratification models have been developed which convert the average household size into the number

of households with one, two, three, four, or five or more persons. A detailed description of

stratification models can be found in Section 5. Use of these stratification models allows the average

number of persons per dwelling unit for each traffic analysis zone (TAZ) to be distributed into

proportions of dwellings within the thirty cross-classification cells required for the single-family and

multi-family housing types. The trip production model multiplies these cell proportions by the

number of dwellings in a zone. The dwellings in each cell are then multiplied by the production trip

rate for each cell to predict to number of trips produced in each TAZ.

GEN also requires estimates of the percent dwelling units which are vacant and non-permanent. The

percent vacant dwelling units is used by GEN to identify units which should not be generating any

trips due to lack of occupancy. The percent vacant/non-permanent is used by GEN in order to

correctly estimate the average persons per dwelling unit in each TAZ. Since the census only collects

population information on permanent residents and ZDATA1 includes estimates of peak season

dwelling units, the model must subtract out vacant and nonpermanent dwellings in order to properly

estimate an average persons per dwelling unit. A manual calculation of average persons per dwelling

unit was provided earlier in Section 3 of this report.

ZDATA2 (TRIP ATTRACTION DATA)

The ZDATA2 file contains socioeconomic data used by the GEN model to generate trip attractions.

As trips are generally attracted at the activity end of a trip, the ZDATA2 file is oriented toward

employment and school enrollment data. ZDATA2 contains the following data for each traffic

analysis zone:

• Industrial Employment• Commercial Employment• Service Employment• Total Employment• School Enrollment• Short Term Parking Cost• Long Term Parking Cost


Employment data should reflect peak season conditions to be compatible with peak season dwelling

unit estimates found in ZDATA1. Figure 4-2 depicts an annotated ZDATA2.yya file. The specific

formats and locations of each ZDATA2 field are presented in Table 4-2.

Employment data used in the ZDATA2 file are often obtained through the Florida Department of

Labor and Employment Security. The FDOT Policy Planning Office in Tallahassee has access to

FDLES records through a confidential employer I.D. matching program. Employer I.D.s can be

manually geocoded to TAZ and the match program will automatically total each employment

category by TAZ while maintaining the confidentiality of the database. Each employment category

is grouped by Standard Industrial Classification (SIC) codes. Appendix C provides the specific SIC

codes in each employment category. Other sources of employment data include the Bureau of

Economic and Business Research (BEBR) at the University of Florida, local Chambers of

Commerce, and private firms such as Dun and Bradstreet, and American Sales Leads (a.k.a. Contacts

Influential).

ZDATA1 AND ZDATA2 DEVELOPMENT AND REVIEW: THE LUCHECK PROGRAM

The development and identification of a standard set of socioeconomic data requirements for

ZDATA1 and ZDATA2 was documented in a series of reports produced for FDOT entitled

“Simplified Zonal Data Development Techniques (Tasks A through D).” These reports may be

referenced for further information on the development of ZDATA1 and ZDATA2 files.

The FSUTMS software package includes a program called “LUCHECK” which can be used to

produce statistical summaries and error checks on the ZDATA1 and ZDATA2 files. To run the

LUCHECK program, the user must type “LUCHECK” from the working directory. The user is

prompted for the extension of the input files in the format of “yya,” followed by a table specifying

the limits to be used in the ratio analysis. The user may choose to change any of the limits in the

table by typing “Y” in response to the question, “Do you wish to change the limits shown?”

LUCHECK generates several output files which can either be viewed on-screen or routed to a

printer. These files are named as follows:

ZDATA 2 FILE FORMAT

ATTRACTION/MODE SPLIT VARIABLES

2 1 1 500 5571 542 6613 694 10 150

2 1 2 221 293 221 735 0 10 150

2 2 3 21 47 22 90 81 5 50

2 2 4 19 141 20 180 29 5 50

2 2 5 14 188 15 217 63 5 50

2 2 6 377 564 377 1318 58 5 50

2 3 7 979 242 979 2200 95 0 0

2 3 8 124 66 124 314 151 0 0

2 3 9 248 132 248 628 133 0 0

2 4 10 481 86 482 1049 302 0 0

2 4 11 1158 130 1159 2447 201 0 0

2 5 12 88 0 89 177 70 0 0

2 5 13 48 0 49 97 123 0 0

2 5 14 16 0 16 32 6 0 0

2 5 15 8 0 8 16 0 0 0

A “2” indicates the type of zonal data

Sector number (optional)

Zone

Industrial Employment by Place of Work (SIC 01-39)

Commercial Employment by Place of Work (SIC 50-59)

Service Employment by Place of Work (SIC 40-49 and 60-69)

Total Employment by Place of Work (SIC 01-99)

School Enrollment (school totals by location by TAZ)

Short term parking costs (0¢)

Long term parking costs (0¢)

Employment

SchoolEnrollment

ParkingCosts

TABLE 4-2: ZDATAZ FILE FORMAT

ZDATA2 Attraction/Mode Split VariablesColumns Contents

1 A ‘2’ IS CODED ON EACH LINE TO INDICATE ZONAL DATA TYPE TJh/C

2-4 SECTOR NUMBER (OPTIONAL)

5-8 ZONE NUMBER

9-14 INDUSTRIAL EMPLOYMENT BY PLACE-OF-WORK (SIC 01-39)

1 5 - 2 0 COMMERCIAL EMPLOYMENT BY PLACE-OF-WORK (SIC 50-59)

21-26 SERVICE EMPLOYMENT BY PLACE-OF-WORK (SIC.40-49 AND 60-69)

27-32 TOTAL EMPLOYMENT BY PLACE-OF-WORK (SIC 01-99)

33-38 ~SCHOOL ENROLLMENT BY SCHOOL LOCATION

39-42 SHORT-TERM PARKING COST

43-46 LONG-TERM PARKING COST

47-7 1 RESERVED AREA

72-80 AVAILABLE TO USER (UNRESTRICTED)

Notes: (1) All data must be coded, right-justified, with no leading zeros.(2) Parking Cost Format implies a dollar value (e.g. 100 = $1 .OO)(3) FSUTMS Mode choice equation uses parking cost inputs



• LUERRORS -- summary of math or omission errors• LURATIOS -- zonal ratios between socioeconomic variables• LUSECTOR -- sector totals for socioeconomic variables• LUZDATA1 -- formatted playback of ZDATA1 contents• LUZDATA2 -- formatted playback of ZDATA2 contents

Each of the above files is named with an extension of “ayy,” where “a” represents the alternate name

and “yy” represents the year of analysis. Appendix D includes an example of LUCHECK output

files. The following paragraphs give a brief overview of each file.

LUERRORS File

The LUERRORS file contains a summary of math and/or omission errors. These include

verification of employment categories adding up to the total employment, auto availability

percentages not adding to 100 percent, and inconsistencies between the percent vacant and the

percent vacant/non-permanent. The example provided in Appendix D shows three typical errors.

The first error is an addition error in employment, followed by an error indicating that the auto-

ownership percentages for single family DUs for a zone add up to greater than one. The third error

indicates that the percent vacant is greater than the percent vacant/ non-permanent.

LURATIOS File

The LURATIOS file shows the ratios of population per dwelling unit and autos per dwelling unit

for single-family and multi-family dwellings. Only population per dwelling unit is shown for

transient (hotel/motel) units. LURATIOS also shows which zones have high or low ratios based on

the inputs specified by the user when the program was started.

LUSECTOR File

The LUSECTOR file shows total dwelling units, occupied dwelling units, population and

automobiles for both single- and multi-family as well as hotel/motel units and occupants. All

statistics are shown by sector number. This file also contains the same ratios as those contained in

LURATIOS, except they are by sector. The last table in LUSECTOR shows ZDATA2 employment

and school enrollment by sector.


LUZDATA1 File

The LUZDATA1 file is a playback of a ZDATA1 file formatted with column headings. This file

also shows frequency distributions for percent vacant and vacant/ non-permanent and zero, one, and

two-plus autos for single-family and multi-family dwellings. Hotel/Motel frequency distributions

are expressed for occupancy only.

LUZDATA2 File

The LUZDATA2 file is a playback of ZDATA2 file formatted with column headings. LUZDATA2

also includes areawide summary statistics of population, dwelling units with and without autos

available, available dwelling units, high and low average population per dwelling unit, auto

ownership, high, low and average autos per dwelling unit and total school enrollment. Statistics are

shown independently for single-family, multi-family and hotel/motel. Additional summary

information on employment is also presented in LUZDATA2. A table listing numbers of employees

in each employment category as well as the percentage split between categories is shown. Total

employment per dwelling unit and hotel/motel units per employee are also shown.

Logic Checks

It is also important to perform logic checks on the ZDATA1 and ZDATA2 files based on local area

knowledge and a comparison of related ZDATA contents. For example, the planner may check all

zones with zero employment and/or dwelling units to ensure proper coding of ZDATA contents.

Similar and dissimilar zones may also be compared against one another to identify possible

inconsistencies in the number of dwellings and/or employment. Another good error check is to

search for zones with school enrollment but no service employment. (Since school enrollment is

estimated by school location, a zone with students must also have teachers and staff.)

ZDATA3 (SPECIAL GENERATOR TRIPS)

The ZDATA3 file contains special generator trips by traffic analysis zone. Special generators should

be limited to TAZs with major or unique land use activities which generate trips at rates not reflected

in the standard GEN model equations. Provisions are made to accept either trip productions or

attractions in ZDATA3. However, the nature of activity centers results in trip attractions


predominating ZDATA3. The following land use activities are considered appropriate for special

generator applications:

• Colleges and Universities• Large Regional Shopping Malls• Regional Airports• Military Bases• Group Quarters (Dormitories, Barracks)• Recreational Areas

Figure 4-3 depicts an annotated ZDATA3.yya file. The specific format and location of each

ZDATA3 field is presented in Table 4-3. Table 4-4 presents a listing of special generator trip rates

suggested by FDOT for use in FSUTMS. Where more recent, or locally-specific, trip rates are

available, these should be used in place of the (circa 1980) trip rates listed in Table 4-4. Trip rates

from the ITE Trip Generation Manual, converted to person trip equivalents, may be an appropriate

surrogate for some of the special generator categories listed in Table 4-4. This table also contains

instructions and definitions for coding each ZDATA3 variable. The following paragraphs include

advice on the application of special generators using GEN.

As indicated by Table 4-4, each recommended special generator type has a predominant trip purpose.

Trips are generated manually (outside the context of the model) and assigned to a specific trip

purpose based on the type of activity. Due to the increasing importance of nonhome-based trips,

especially at major activity centers, it may be desirable to treat a portion of the special generator trips

at each site as nonhome-based productions.

The special generator rates specified in Table 4-4 are those recommended in the Model Update Task

B document which reviewed the report entitled Trip Generation by the Institute of Transportation

Engineers to identify other possible trip generation rates. All trip rates are expressed as person trip

rates through the assumption of an average vehicle occupancy of 1.5 persons. With the exception

of military bases, the rates are substantially higher than those allowed by the attraction equations and

emphasize certain weaknesses of the existing equations.

ZDATA 3 FILE FORMATSPECIAL GENERATIONS

3 99A+ 1428 15 15 15 55 0 0 0 0 0 0CITY HALL/COURTHOUSE

3 149A+ 12498 0 100 0 0 0 1099 834 265 0 0GATEWAY SHOPPING CTR

3 193A+ 14954 15 15 15 55 0 0 0 0 0 0JACKSONVILLE UNIVERSITY

3 294A+ 15314 15 15 15 55 0 0 0 0 0 0JAX INT'L ARPT

3 318A+ 8527 0 100 0 0 0 1616 1605 11 0 0REGENCY SQUARE

3 336A+ 8511 0 0 0 100 0 0 0 0 0 0S CAMPUS FL JR COLLEGE

3 348A- 19530 10 0 5 5 80 0 0 0 0 0US NAVY MAYPORT

3 482A- 17830 10 0 5 5 80 0 0 0 0 0NAS ROOSEVELT

3 604A+ 20475 0 100 0 0 0 1575 1083 488 0 0ORANGE PARK SHOPPING CT

A “3” indicateszonal data type 3.

Zone number

Generation code:P (Production),A (Attraction)

Function Code:T (Total Trips),+ (Additive), - (Deductive)

Total Trips or difference in trips

Percent Home-Based Work

Percent Home-Based Shop

Percent Home-Based Social/Recreation

Percent Home-Based Other

Percent Non Home-Based

Total Employment(to be subtracted)

Commercial Employment (to be subtracted)

Service Employment (to be subtracted)

School Enrollment (to be subtracted)

Total Dwelling Units (to be subtracted)

Percent of tripsby purpose Employment

TABLE 4-3: ZDATA3 FILE FORMAT

1

!

4

4

.4s

.

.

.

1

1

!!!

ZDATA3 Special GeneratorsColumns I Contents

IA’3 IS CODED ON EACH LINE TO INDICATE ZONAL DATA TYPE THREE12 45-83

SECTOR NUMBER (OPTIONAL)ZONE NUMBERGENERATOR TYPE

1 TO 2500

10 FUNCTION CODE

11-16 TOTAL TRIPS OR

DIFFERENCE IN TRIPS

17-19 PERCENT HOME-BASED WORK

20-22 PERCENT HOME-BASED SHOP

23-25 PERCENT HOME-BASED SOCIAURECREATION

26-28 PERCENT HOME-BASED OTHER

2931 PERCENT NON HOME-BASED

1236 TOTAL EMPLOYMENT (TO BE SUBTRACTED)

37-41 COMMERCIAL EMPLOYMENT (TO BE SUBTRACTED)

12-46 SERVICE EMPLOYMENT (TO BE SUBTRACTED)

17-51 SCHOOL ENROLLMENT (TO BE SUBTRACTED)

52-66 TOTAL DWELLING UNITS (TO BE SUBTRACTED)

57-80 NAME OR DESCRIPTION OF THE SPECIAL

‘p’- PRODUCTION‘A’ -ATTRACTION‘T’ -TOTAL TRIPS‘+’ -ADDITIVE‘-’ - DEDUCTIVEIF ‘T IN CC 10IF I+/-’ IN CC IOCC 17-31 ARE THE PERCENTAGE

OF TRIPS CODED IN CC 11-16FOR EACH PURPOSE FOR THE

SPECIAL GENERATOR LISTED

CC 32-56 ARE NECESSARY

VARIABLES IF’T CODED IN

CC 10 (SPECIAL GENERATORDATA ONLY)

Range

IGENERATOR

(1) All data must be coded, right-justified, with no leading zeros.(2) All percentages must be in whole units (e.g. 10 = 10 10 = 10 Percent).(3) Subtraction data for any special generators in a zone should be included in

ZDATA 1 and ZDATA 2.


TABLE 4-4: FDOT RECOMMENDED SPECIAL GENERATORS

CategoryRecreational Land Uses

Community and Regional ParksState Parks and Public BeachesMarinas

Colleges and Universities

Military Bases

Commercial Airports

General Aviation Airports

Group Quarters

Retail Shopping Centers200,000 or More Square Feet100,000 - 200,000 Square Feet50,000 - 100,000 Square Feet

Recommended R e c o m m e n d e d ‘.

Attraction Trip Rates Major Trip Purposes

7.7 Trips/Acre Home-Based Social/Recreation28 Trips/Acre Home-Based Social/Recreation38 Trips/Acre Home-Based Social/Recreation

3 Trips/Student Home-Based Other

2.7 Trips/Employee Home-Based Other/Work

24 Trips/Employee Home-Based Other

22 Trips/Employee Home-Based Other

4 Trips/Person Home-Based Other

13 Trips/Employee Home-Based Shop33 Trips/Employee Home-Based Shop30 Trips/Employee Home-Based Shop

Notes: (1) It is recommended that only these special generators be designated to begin with.Other special generators should be added only if the need is demonstrated.Different rates should be used when more recent and/or site-specific trip rates available.

(2) Special generator rates are expressed as person trips.(3) Source: FDOT Model Update Task B.(4) For Sample Computation of Special generator Trips, see page 4-15 (Table 4-4 cont’d).

FSUTMS GEN Model, Revised Draft Version II (March 1997) Page 4-14


TABLE 4-4 (CONT’D)SAMPLE COMPUTATION OF SPECIAL GENERATOR TRIPS

Assumption: TAZ 100 has a University with an enrollment of 5,000 students.

Special Generator Computation: 5,000 Students * 3 Trips per Student = 15,000 person trips.

The number "15000" is then entered in columns 11-16 of the ZDATA3 file for zone 100. The user

could opt to place the number "100" in columns 26-28 to indicate 100 percent home-based other

trips. With an "A" entered in column 9 and a "+" coded in column 10 these 15,000 home-based

other trips would be considered attractions in addition to those already computed by "GEN". If the

5,000 students were listed under school enrollment in the ZDATA2 file the user would need to code

"5000" in columns 47-51 of the zone 100 ZDATA3 record in order to avoid double counting these

trips (i.e., trips computed by standard GEN plus the special generator addition). A "T" should only

be coded in column 10 if the special generator trips are to replace all trips previously computed by

GEN for the zone. Since standard GEN computations are still needed to estimate employee trips at

the university, the student trips should be considered additive (thus the rationale for coding a "+" in

column 10).

An alternate recommended procedure would be to assume 70 percent of the student trips are home-

based other attractions and the remaining 30 percent are nonhome-based productions. Using this

procedure two separate ZDATA3 records would be required to represent student trips. The first

record would be as follows:

ZONE TRIPS %HBO

100 A + 10500 100 (15,000 TRIPS * .70 = 10,500)

The second ZDATA3 record would then be as follows:

ZONE TRIPS %NHB100 P + 4500 100 (15,000 TRIPS * .30 = 4,500)

This alternate approach recognizes the high level of student nonhome-based trip activity occurring

at a typical university (e.g., trip from school to work).


The following comments apply to the data:

Shopping Centers use square feet of retail floor area as an independent variable, broken

into three size groups. Caution should be taken in using these rates in two particular

situations. If the shopping center affects only a small part of a zone and the normal rate

is used for the remainder of the zone, trips could be skewed because the special trip rates

are for an entire zone. Secondly, if the employment in a zone is under-reported, the rate

would tend to be higher than it actually is.

Recreational attractions use acreage as an independent variable because of the great

variation in employees working at parks. Florida is a state that emphasizes recreation

and its rate of attracting trips to recreation areas, particularly beaches, is higher than the

rates of other states. The rates shown in Table 4-4 are recommended only for public

beaches.

Marinas are widely used in Florida. A comparison of the trip rates for Florida and those

contained in the ITE Trip Generation Report indicate that there are more employees per

boat user in Florida marinas than in other marinas throughout the country.

The trip rate for colleges and universities is not reflected in the home-based other

attraction coefficient for school trips.

The trip rate for military bases is substantially lower than the rates generated by the

standard equation. Most military bases are single traffic zones which should be

separated from other zones because a large percentage of military activity occurs within

the military zone.

The trip rates for commercial and general aviation require a special generator since they

are underestimated by the regular attraction equations.


The trip rate for group quarters may be applied as a nonhome-based production and

attraction. The population residing in group quarters is excluded from the analysis of trip

productions since such quarters are not part of a standard residential unit. The generated rate

is low because it is referenced to population and is partially composed of the employees

required to maintain group quarters. Typical group quarters populations are residents of

nursing homes, orphanages, dormitories, sorority and fraternity houses and military barracks.

These special generators will be applicable to many urban areas. The Institute of Transportation

Engineers and Florida studies generally show reasonable agreement in the trip rates for these

generators, although observations are limited. It is recommended that users of these special

generators input trips directly and subtract the independent variable from the base zonal data. The

recommended rates are not applicable to a total zone unless the special generator is the sole use

within the zone.

Use of special generators should be kept to a minimum. During model validation GEN should be

run without special generators first to determine the need for their inclusion. When adding special

generators their application should be used sparingly based on model needs and the regional

importance of the activity center(s). For example, special generators should be used for large

regional shopping malls but should not be used to represent typical neighborhood shopping centers.

To avoid problems with the occurrence of negative attractions during special generator substitution

it is recommended that special generators be located in zones separate from other activities.

However, in most cases, special generator trips should be viewed as "additions" to the standard trip

generation rather than "replacements" for trip estimates derived through standard GEN applications.

Finally, it must be acknowledged that since attractions are balanced to productions, input of a

specified number of trip attractions for a special generator may not yield the desired number of trips.

This may require running GEN several times and adjusting the special generator trips up or down

to achieve the desired result.


ZDATA4 (INTERNAL-EXTERNAL TRIP PRODUCTIONS)

The ZDATA4 file contains internal-external trip productions for each external traffic analysis zone.

Internal-external trips are those trips with one trip end inside the study area and one trip end outside

the study area. External-external trips, those trips which pass through the study area, are described

in Technical Report No. 2 on the FSUTMS External Model. Figure 4-4 depicts an annotated

ZDATA4.yya file. Table 4-5 provides file contents and format for the ZDATA4 file.

The ZDATA4 file may optionally be used to split internal TAZs, by indicating the old (original)

zone, the new (split) zone, and the percent of trips to be allocated to the two resulting zones. The

inclusion of split percentages signals GEN to reallocate a percentage of the computed trip

productions and attractions into a set of newly defined TAZs. However, this approach is not

recommended. If it is concluded that zones should be split it is preferable to add new internal zones

to the ZDATA1 and ZDATA2 files to avoid confusion and enable the LUCHECK program to

analyze the new and old zones.

The ZDATA4 file is generated through estimates of base year traffic at each external zone and the

percent of trips at each external zone which are internal-external. The total volume of trips at each

external zone is usually derived from a recent count of peak season weekday traffic. The split of

external trips into internal-external (IE) and external-external (EE) components is usually based on

the results of a roadside origin-destination survey. The number of IE trips per zone is computed by

multiplying the peak season weekday traffic count by the percent IE estimated for that zone.

Future year external trips are generally estimated through application of growth factors to existing traffic volumes. Future

year growth factors are generally based on anticipated regional population and/or employment growth rates. Future year

external traffic volumes can be calculated from these growth factors either through the use of spreadsheets or growth factor

models, such as the Fratar model. Future year external trips must also be divided into IE and EE components. For further

discussion of external trip modeling and forecasting, the user should refer to Technical Report No. 2 of this series, which

describes the FSUTMS EXT model.


FIGURE 4-4. ANNOTATED ZDATA 4 FILE

4 0 16 11000

4 0 17 2600

4 0 18 3200

4 0 19 3800

4 0 20 2400

4 0 21 17000

4 0 22 1800

4 0 23 2000

4 0 24 1700

Record type(“4” indicatesZDATA4 File)

Sector (optional)

Zone

Internal - External Productions (ora percent of the total trips in thezone coded in the zone column forzone splits)

TABLE 4-5: ZDATA4 FILE FORMAT

ZDATA4 Zone Splits and IE ProductionsColumns Contents

1 A ‘4’ IS CODED ON EACH LINE TO INDICATE ZONAL DATA TYPE FOUR

2 4 SECTOR NUMBER (OPTIONAL)

5-8 ZONE NUMBER

9-14 INTERNAL-EXTERNAL PRODUCTIONS (OR PERCENT OF ZONE CODED IN CC 5-8)

IS-18 NEW ZONE NUMBER (OPTIONAL - NOT RECOMMENDED)

19-21 PERCENT OF ZONE CODED IN CC 15-18 (OPTIONAL - NOT RECOMMENDED)

22-80 AVAILABLE TO USER (UNRESTRICTED)

Notes: (1) All data must be coded, right-justified, with no leading zeros.(2) All percentages must be in whole units (e.g. 10 = 10 Percent).(3) All zone splits must precede Internal/External Productions.



SECTION 5

MODEL PARAMETERS AND RATES

The parameter requirements for the FSUTMS Trip Generation Model include the previously

described trip production rates (GRATES.SYN) and dwelling unit weights (DUWEIGHT.SYN).

In addition, GEN requires input on the number of internal zones and total zones in the study area.

These are provided in the PROFILE.MAS file as &ZONESI and &ZONESA, respectively. GEN

also includes a series of trip attraction rate equations, which are hard-coded into the program and are

alternately available for modification by the user in the GRATES.SYN file.

This section describes model parameter requirements in the following order:

• Comparison of Trip Production Rates (GRATES.SYN)• Recommendation of New Trip Production Rates• Trip Attraction Rates• Dwelling Unit Weights (DUWEIGHT.SYN)

COMPARISON OF TRIP PRODUCTION RATES (GRATES)

Model Update Task B describes the process used in the development of standard trip production

rates for use in the GEN model. A standard set of trip production rates were prepared for each of

the four home-based trip purposes based on origin-destination travel characteristics studies

performed during the 1960s and 1970s in the following urban areas:

• Gainesville• Jacksonville• Lee County• Palm Beach County• Tampa Bay• Tallahassee• Volusia

A second set of trip production rates was developed for the home-based work (HBW) and home-based other (HBO)

trip rates to account for a variation in tripmaking characteristics found in Tallahassee (HBW, HBO), Jacksonville (HBW),


and Gainesville (HBO). For the HBW trip purpose for Tallahassee and Jacksonville, it was found that the trip rate was

significantly higher than the other areas. Several factors could contribute to this phenomenon including the large

population of working students in Tallahassee and a historically large population of working females in both citie

For the HBO trip purpose in Tallahassee and Gainesville, it was found that the trip rate was significantly higher than the

other areas. This difference attributed to the large number of school trips per household generated by the University of

Florida and Florida State University. It is recommended that these HBO trip rates be used in areas where college students

represent 10-20% of the community’s total population. Figure 5-1 depicts the standard FSUTMS trip production rates

for each purpose and includes both set number one and, where applicable, set number two. As noted earlier, set number

two for home-based work was originally recommended for Tallahassee and Jacksonville while set number two for home-

based other was recommended for Tallahassee and Gainesville. Figure 5-2 depicts an annotated GRATES.SYN file.

Table 5-1 describes the file format and contents required for GRATES.SYN.

In the time since the aforementioned origin-destination studies were conducted, several of the studies have been updated

and new travel characteristics studies for other urban areas have been completed. These new studies are considered good

sources for the development of new FSUTMS trip production rates. Recently conducted travel characteristics studies

include the following:

• Pasco-Pinellas-Hillsborough (1985 PPHTCE)• Southeast Florida (1986 SEFITS)• Orlando (1987 OUTCS)• Tallahassee (1988 TTCES)• Lee County (1992 LCTCS)• Palm Beach County (1991 PBTTS)• FDOT District 4 Trip Rates for Selected Households (1993 TRS)• Tampa Bay Regional Transportation Analysis (1991 TBRTA)• Treasure Coast (1996 TC²S)• Dade County Household Travel and Hurricane Impact Survey (1993 Dade County)

Hotd/Motd Units

SET 1STANDARD FSUTMS TRIP RATES: HOME-BASED WORK

STANDARD FSUTMS TRIP RATES: HOME-EIASED SHOPPING STANDARD FSUTMS TRIP RATES: HOME-BASED SOClAL/REC

STANDARD FSUTMS TRIP RATES: HOME-BASED OTHER-: FDOT Mode4 U#de Task B

STANDARD FSUTMS TRIP PRODUCTION RATES FIGURE 5-1



FIGURE 5-2. ANNOTATED GRATES.SYN FILE

1 1 1 .40 .30 .20 .201 1 2 .15 .30 .30 .251 1 3 .25 .30 .60 .501 2 1 .50 .80 .65 .601 2 2 .45 .50 .65 .801 2 3 .25 .30 .60 .501 3 11.05 .90 .85 .701 3 21.20 .65 .75 .951 3 3 .25 .30 .60 .502 1 1 .80 .35 .25 .302 1 2 .35 .35 .35 .452 1 3 .201.301.651.202 2 11.101.05 .851.102 2 2 .651.251.051.202 3 21.551.401.201.502 3 3 .201.301.651.203 1 11.15 .40 .30 .553 1 2 .55 .40 .40 .703 2 2 .901.501.451.603 2 3 .152.002.702.103 3 12.451.451.302.203 3 21.851.651.652.303 3 3 .152.002.702.104 1 11.40 .45 .401.004 1 3 .102.503.903.304 2 11.751.301.352.754 2 21.001.651.902.104 3 12.601.601.653.555 1 11.55 .45 .451.605 1 3 .102.905.904.405 2 11.901.301.703.955 2 21.101.702.653.005 2 3 .102.905.904.405 3 12.651.702.105.355 3 22.151.953.054.65

ATTFAC PURPOSE = 1, 0.00 0.00 0.00 1.80 0.00 0.00 0.00ATTFAC PURPOSE = 2, 0.00 6.10 0.00 0.00 0.00 0.00 0.00ATTFAC PURPOSE = 3, 0.00 1.50 1.50 0.00 0.50 0.00 0.00ATTFAC PURPOSE = 4, 0.00 1.30 1.30 0.00 0.20 1.30 0.00ATTFAC PURPOSE = 5, 0.00 2.90 1.40 0.00 0.30 0.00 0.00ATTFAC PURPOSE = 6, 0.00 0.00 0.00 0.45 0.30 0.00 0.00

HBO TripProduction Rate

HBSR TripProduction Rate

HBSH TripProduction Rate

HBW TripProduction Rate

Persons perDwelling Unit

# of Autos perDwelling Unit

Type ofDwelling Unit

Trip Purpose1=HBW; 2=HBSH;3=HBSR; 4=HBO5=NHB;6=IE

Trip Attraction Ratefor IndustrialEmployment

Trip Attraction Ratefor CommercialEmployment

Trip AttractionRate for ServiceEmployment

Trip AttractionRate for TotalEmployment

Trip AttractionRate for TotalDwelling Units

TripAttractionRate forTotal SchoolEnrollment

Undefined(for futureuse)

TABLE 5-I: GRATES FILE FORMAT

Productions

Columns Contents Range

4 PERSONS PER DWELLING UNIT CATEGORY 1-5

8 NUMBER OF AUTOS PER DWELLING UNIT ‘1’ = 0 VEHICLES

‘2’ = 1 VEHICLE

‘3’ = 2 OR MORE VEHICLE:

12 TYPE OF DWELLING UNIT

13-16 HBW TRIP PRODUCTION RATE

17-20 HBSH TRIP PRODUCTION RATE

121-24 HBSR TRIP PRODUCTION RATE

125-28 HBO TRIP PRODUCTION RATE

‘1’ = SINGLE FAMILY

‘2’ = MULTI FAMILY

‘3’ = HOTEL - MOTEL

Attractions

Contents Range‘ATTFAC PURPOSE”

3PERATION CODE (=)

I-RIP PURPOSE ‘1’ = HBW

‘2’ = HBSH

‘3’ = HBSR

‘4’ = HBO

‘5’ = NHB‘6’ = l-T

TRIP ATTRACTION RATE FOR INDUSTRIAL EMPLOYMENT

TRIP ATTRACTION RATE FOR COMMERCIAL EMPLOYMENT

TRIP AlTRACTION RATE FOR SERVICE EMPLOYMENT

TRIP ATTRACTION RATE FOR TOTAL EMPLOYMENT

TRIP ATTRACTION RATE FOR TOTAL DWELLING UNITS

TRIP AlTRACTION RATE FOR TOTAL SCHOOL ENROLLMENT

UNDEFINED (FOR FUTURE USE)

Notes: All GRATES must be coded in with two decimal places (e.g., 1.55)Attraction Trip Rates follow Production Trip Rates in GRATES file format



Jacksonville (1995 JUATS) Broward County (1996 BCTCS)

Trip rates recommended from these origin-destination studies are depicted in Appendix E. Since the 1985 PPHTCE and

1986 SEFITS have been updated recently with newer surveys, these two surveys are no longer depicted in Appendix E.

The newer trip rates were graphed and compared with the original FSUTMS trip rates. The graphed comparisons,

provided in Appendix F, make it easier to distinguish variations among the different trip rate sets. Most variations are

due to local household characteristics such as the relative proportion of retirees, dual worker households, college students,

and families with children.

For ease of evaluation, the nine represented urban areas and the FSUTMS trip rates have been divided into two graph sets

for each trip purpose. The first graph set portrays trip rates from recent travel surveys for the following urban areas located

in Southeast Florida:

• Palm Beach County• Dade County• Broward County Treasure Coast

The second graph set in Appendix F portrays trip rates from recent travel surveys for the following urban areas:

• Orlando• Tallahassee/Leon County• Lee County Jacksonville

The Tampa Bay Regional Transportation Analysis (TBRTA) Travel Characteristics Survey provided recommended

regional trip rates for the four-county Tampa Bay area. It should be noted that the Tampa Bay RTA model includes a new

lifestyle-based trip generation model and therefore the RTA trip rate matrix reflects different household characteristics

than trip rate sets for other areas. Therefore, trip rates could not be graphed along with the other travel

characteristics surveys.


RECOMMENDATION OF NEW PRODUCTION RATES

Since a number of new travel characteristics studies have recently been completed it is recommended

that the trip production rates recommended from these studies be used in the development and

validation/calibration of new models in Florida. The standard FSUTMS trip rates, depicted

previously in Figures 5 through 10, should only be used under the following conditions:

• When existing models have already been validated with old trip production rates (however, future validationsin all areas should use new rates)

• When characteristics of a specific urban area are not considered to be represented by the areas recentlysurveyed

• When the use of new trip production rates results in an unacceptable generation of trips

• When significant errors were identified in the survey database

Since a relatively large number of origin-destination studies have been recently completed covering varied regions of the

state, it is recommended that trip rates from existing origin-destination studies be applied even in those urban areas for

which recent travel characteristics studies do not exist. Caution must be exercised when borrowing rates, however, to

ensure that a high proportion of external trips in a given area does not distort the generation of trips. In some cases,

internally produced trips should be attracted to external zones.

Rather than recommending one uniform set of new trip production rates for application throughout Florida, it would be

more appropriate to recognize that several alternate sets of trip production rates are needed to account for varied travel

behavior patterns exhibited in different parts of the state. For example, many areas share similar characteristics

(such as a large elderly/retired population, or the presence of similar land uses such as universities

or military bases) that allow for the "borrowing" of trip rates from one study area to another. Some

areas of Florida experience a large influx of tourists and/or seasonal residents at certain times of the

year while other areas are not impacted by such occurrences.


Preliminary trip rate recommendations for Florida's urban areas, by FDOT district, are presented in

Table 5-2. The overriding philosophy in developing these recommendations is to recognize the

unique characteristics of each region of the state and identify areas which might share common travel

behavior characteristics.

The validation process for trip generation models requires that productions and attractions are

generated, distributed, and assigned. The principal validation tool is a comparison of actual traffic

counts for screenlines and selected links with traffic assignments produced by the modeling process.

From this comparison, the user can identify certain types of errors where the model estimate is not

functioning properly. These errors may be due to any number of factors: poor trip rate estimates in

trip generation; inadequate determination of the independent variables which are used to estimate

trips; or a highway network that is incomplete or too detailed.

Validation of the trip production models themselves can be accomplished only if a local urban area

has estimates of independent variables and extensive traffic counts. Validation has usually been

based on comparisons of zonal estimates of trips, derived by factoring origin-destination sample data

and model-estimated trips. If the estimate of required independent variables for the model is correct,

these comparisons should be correct.

TRIP ATTRACTION RATES

As described earlier, the GEN program includes a set of trip attraction rates for all seven FSUTMS

trip purposes. FSUTMS attraction rates are used to generate trip attractions for the four home-based

trip purposes and, in addition, are the sole source for the generation of nonhome-based and truck-taxi

trips. The standard FSUTMS attraction rates are provided in Table 5-3.

No new recommendations are being proposed for statewide trip attraction rates at this time, primarily due to the lack of

available survey data to support the development of new attraction rates. Most recent travel characteristics surveys have

been geared towards the identification of new trip production rates and have not emphasized the need for new trip

attraction rates.


TABLE 5-2

RECOMMENDATIONS FOR BORROWING TRIP PRODUCTION RATES

District 1 Origin-Destination Study

Lee County LCTCSLakeland/Winter Haven OUTCSPunta Gorda LCTCSNaples LCTCSSarasota/Manatee LCTCS

District 2

Gainesville TTCESJacksonville JUATS

District 3

Panama City TTCES or TBRTA or LCTCSPensacola TTCESFort Walton TTCES or TBRTA or LCTCSTallahassee TTCES

District 4

Broward County BCTCSIndian River County TC²SMartin County TC²SPalm Beach County PBTTSSt. Lucie County TC²S

District 5

Volusia County OUTCSBrevard County OUTCSOcala OUTCS or TBRTA Orlando OUTCS

District 6

Dade County Dade TCS

District 7

Hernando County TBRTAHillsborough County TBRTAPasco County TBRTAPinellas County TBRTA

TABLE 5-3: STANDARD FSUTMS TRIP ATTRACTION RATES

A: HBW ATTRS= 1.8 (Total Employment)

B: HBSHOP ATTRS= 6.1 (Commercial Employment)

c: HBSOCREC ATTR= 0.5 (Dwelling Units) + 1.5 (Commercial + Service Employment)

D: HBO ATTRS 0.2 (Dwelling Units) + 1.3 (Commercial + Service Employment)+ 1.3 (School Enrollment)

E: NHB AlTRS= 0.3 (Dwelling Units) + 2.9 (Commercial + Service Employment)

F: TRUCK/TAXI ATTRS= 0.3 (Dwelling Units) + 0.45 (Total Employment)

G: IE AlTRS= Total Internal- X Total Zonal Internal AttractionsExternal Productions Total Areawide internal Attractions

A: Home-Based Work AttractionsB: Home-Based Shop AttractionsC: Home-Based Social/Recreational AttractionsD: Home-Based Other AttractionsE: NonHome-Based AttractionsF: Truck/Taxi AttractionsG: Internal-External Attractions

Note: (1) Productions and attractions are equal for nonhome-based and truck/taxi purposes.



While the Palm Beach Travel Survey (PBTS) addressed this issue, this one survey alone does not provide sufficient

information for development of new statewide trip attraction rates.

DWELLING UNIT WEIGHTS (DUWEIGHT)

The GEN model uses dwelling unit weights to disaggregate zonal estimates of single- and multi-

family dwelling units into the five household size categories required by the cross-classification

matrix. In other words, dwelling unit weights estimate the number of dwelling units per TAZ in each

household size category, based on the average persons per dwelling unit in a zone. Figure 5-3

depicts an annotated DUWEIGHT.SYN file. The file format for the DUWEIGHT.SYN file is

depicted in Table 5-4. Figure 5-4 is a depiction of the standard FSUTMS default DUWEIGHTs,

originally developed as part of Model Update Task B.

The number of persons per household is generally recognized as being independent of other

socioeconomic variables. Therefore, the stratification of number of households into size categories

is solely a function of average persons per household. The relationship between average household

size and percentage of households in each size category can be established using either of two data

sources: data from an origin-destination (O-D) survey or the U.S. Census. Since some urban areas

do not have O-D survey data and the census data are more comprehensive and allow the models to

be updated periodically, the recommended household size stratification model has relied on data

from the census.

The original DUWEIGHTs were developed using data from the 1970 Census. Since that time,

significant changes have occurred in terms of household size and composition. In response to these

changing demographics, preparations for this report included a review of 1990 Census data on

household size stratifications. Four urbanized areas, of different size and composition, were selected

for the development of updated dwelling unit weight matrices using 1990 Census data. These four

metropolitan areas are as follows:

• Broward County

• Orlando

• Sarasota/Manatee

• Tallahassee


FIGURE 5-3. ANNOTATED DUWEIGHT.SYN FILE

.89 .11 .00 .00 .00 0-1.12 Person Per Dwelling Unit (PPDU) Category

.76 .22 .02 .00 .00 1.13-1.37 Person Per Dwelling Unit (PPDU) Category















.00 .00 .02 .05 .93 6.00+ Person Per Dwelling Unit (PPDU) Category

Percent of1-personhouseholdsfor PPDUCategory





TABLE 5-4: DUWEIGHT FILE FORMAT

Columnsl-4 PERCENT OF ONE-PERSON HOUSEHOLDS FOR PPDU CATEGORY

5-8 PERCENT OF TWO-PERSON HOUSEHOLDS FOR PPDU CATEGORY

9-12 PERCENT OF THREE-PERSON HOUSEHOLDS FOR PPDU CATEGORL

13-16 PERCENT OF FOUR-PERSON HOUSEHOLDS FOR PPDU CATEGORY

17-20 PERCENT OF FIVE-PERSON HOUSEHOLDS FOR PPDU CATEGORY

Rows11 0.00-1 .I2 PERSONS PER DWELLING UNIT (PPDU) CATEGORY

2 1.13-l .37 PERSONS PER DWELLING UNIT (PPDU) CATEGORY

3 1.38-l .62 PERSONS PER DWELLING UNIT (PPDU) CATEGORY

4 1.63-1.87 PERSONS PER DWELLING UNIT (PPDU) CATEGORY













17 6.00+ PERSONS PER DWELLING UNIT (PPDUI CATEGORY


PersonsPersons AveragePersonsAveragePersons Per Dwelling Unit*Unit*Per DU Per DU 0.00-1.12 1.13-1.37 1.38-1.62 1.63-1.67 1.88-2.12 2.13-2.37 2.38-2.62 2.63-2.87 2.88-3.12 3.13-3.37 3.36-3.62 3.635.87 3.884.12 4.134.37 4.384.62 4.63-6.99 6.00+

I 0.890.89 0.760.76 0.590.59 0.450.45 0.320.32 0.280.28 0.220.22 0.180.18 0.130.13 0.120.12 0.080.08 0.050.05 0.040.04 0.020.02 0.010.01 0.000.00 0.000.00

22 0.110.11 0.220.22 0.340.34 0.420.42 0.500.50 0.440.44 0.400.40 0.370.37 0.340.34 0.290.29 0.240.24 0.200.20 0.160.16 0.150.15 0.150.15 0.050.05 0.000.00

33 0.000.00 0.020.02 0.050.05 0.070.07 0.090.09 0.130.13 0.170.17 0.180.18 0.180.18 0.180.18 0.200.20 0.190.19 0.170.17 0.140.14 0.130.13 0.070.07 0.020.02

II

44 0.000.00 0.000.00 0.010.01 0.030.03 0.050.05 0.080.08 0.110.11 0.130.13 0.160.16 0.170.17 0.200.20 0.230.23 0.240.24 0.210.21 0.170.17 0.140.14 0.050.05

6+6+ 0.000.00 0.000.00 0.010.01 0.030.03 0.040.04 0.070.07 0.100.10 0.140.14 0.190.19 0.240.24 0.280.28 0.330.33 0.390.39 0.480.48 0.540.54 0.740.74 0.930.93

‘Notes: Column values add lo 1.00 (i.e., 100%) for each calegory. See Table 3-l for sample application of DUWEGHT matrix.See Appendix H for graphs depicting default and other area dwelling unii stratifications.

STANDARD FSUTMS DUWEIGHT MATRIX Figure 54


The same methodology used to develop dwelling unit stratifications in Model Update Task B was

employed in the development of new DUWEIGHTs using the 1990 Census. First, census tracts in

each of the four metropolitan areas were sorted based on average persons per dwelling unit (PPDU).

Next, census tracts were grouped into the same PPDU categories used in the DUWEIGHT file.

Then, the percent of dwellings in each of the five household size categories was estimated for each

PPDU category. Finally, the results were graphed to identify areas of inconsistency.

Appendix G describes the development of DUWEIGHTs in greater detail and depicts dwelling unit

stratification tables for each of the four metropolitan areas analyzed. These dwelling unit

stratification tables can be used to generate new DUWEIGHT.SYN files. Appendix H includes

graphed distributions of each household size category in each area. Household size categories with

insufficient available data were not graphed; it is recommended that standard default DUWEIGHTs

(depicted in Figure 5-7) be used for these categories. As expected, a review of these graphs indicates

that, for 3-5 PPDU households, the percent of households in each of the larger household size

categories increases while, for the 1-2 PPDU households, the percent of households in each of the

smaller size categories decreases.

In general, there were very few census tracts in the lower and higher end ranges of persons per

dwelling unit. A review of earlier graphed distributions indicated skewed results when the sample

size (i.e., the number of census tracts) was low. Therefore, the tables and graphs presented in the

appendices only include PPDU categories where the sample size was sufficient to draw reasonable

conclusions. In size categories where the sample was insufficient (generally, less than 5 census tracts

per category) it was recommended that the default FSUTMS dwelling unit weights be used.

In general, a comparison of the results for the four urban areas showed similar trends among

stratification values. The existence of similar trends is supported by recent research suggesting that

stratification curves are fairly consistent across the nation. Consequently, census data for the four

test areas could be pooled for the development of standard stratification curves. The results of the

combination could be used to update the default DUWEIGHT matrix for the standard generation

model.


However, as with the trip production rates, the use of one standard set of DUWEIGHTs for all

Florida urban areas is not recommended. While dwelling unit stratifications for the four sample

areas, as depicted in the appendices, may be transferable to other similar areas, it would be preferable

to develop separate dwelling unit weights for each urban area when ZDATA1 and ZDATA2 files

are being prepared. The same process described earlier, in the development of 1990 DUWEIGHTs

for Broward County, Orlando, Sarasota-Manatee, and Tallahassee, can be used in the development

of dwelling unit stratifications for other areas.


SECTION 6

MODEL OUTPUT

As indicated earlier in the GEN model flowchart, several output files are produced by the GEN

program. The files PRODS and ATTRS are used as input to the subsequent DISTRIB module. The

file GEN.OUT is purely for informational purposes and is either printed or viewed on-screen by the

user. Each of these files are described in this section.

PRODS and ATTRS Files

The primary function of the GEN model is to generate trip productions and trip attractions for each

traffic analysis zone. Trips are generally “produced” at the home end of a trip and are “attracted”

to areas of employment, education, recreation, shopping and other activities. Hence, the terms

“production” and “attraction” are used to describe the generation of trips. Zonal trip productions are

written to an output file called “PRODS.ayy” and the trip attractions are contained in a file named

“ATTRS.ayy.” These files are both in an ASCII format and can be viewed on-screen by the user

with any standard text editor program. These files are subsequently used as input into the DISTRIB

module.

GEN.OUT File

The trip generation model produces a summary report file entitled GEN.OUT. GEN.OUT is divided

into three sections. Section One, the description page, describes the function of the GEN module,

and states the date and time of the run and the run title. Section Two describes assumptions for the

scenario being modeled. Section Three depicts productions and attractions for each zone by trip

purpose. GEN.OUT concludes with a section describing statistical results from the model run.

Appendix B contains a sample GEN.OUT file printout.

The assumptions section of GEN.OUT begins by detailing the production trip rates used in the run

by persons per dwelling unit, autos per dwelling unit, dwelling unit type, and trip purpose. This

information is presented in matrix format. A formatted playback of several files is then displayed

in the following order:


• GRATES.SYN

• DUWEIGHT.SYN

• ZDATA3.yya

• ZDATA4.yya

Following the assumptions section of GEN.OUT is a table of both productions and attractions for

every zone by trip purpose. At the end of this table is shown the cumulative totals of productions

and attractions by purpose as well as the unadjusted attractions for the home-based trip purposes.

Comparing the adjusted and unadjusted attractions can be useful in determining the viability of

employment estimates used in the model run. If the home-based attractions are significantly (e.g.,

25 percent) lower than productions prior to balancing, it may be an indication that employment has

been underestimated. Another helpful statistic displayed in this table is the percent of trips by

purpose for the entire area. The split of trips by purpose should be compared with other similar study

areas (preferably those with home interview travel survey data), to ensure the relative numbers of

trips by purpose are reasonable.

The statistics section of GEN.OUT displays several vital statistics:

• Total Permanent Population• Total Population (Permanent + Transient)• Total Permanent Occupied Dwelling Units• Total Occupied (Permanent + Transient) Dwelling Units• Total Service Employment• Total Employment• Permanent Population per Permanently Occupied Dwelling Unit• Total Population per Total Dwelling Unit• Total Employment per Permanent Population• Service to Total Employment• Total Home-based Productions (Person Trip Ends)• Total Home-based Attractions (Person Trip Ends)• Total Productions• Total Attractions• Internal Person Trips per Permanently Occupied Dwelling Unit• Internal Person Trips per Total Occupied Dwelling Unit• Internal Person Trips per Employee


The first six statistics, Total Permanent Population through Total Employment, provide the user with

areawide summary statistics that can be used as preliminary checks on the totals for each

independent ZDATA variable. Each of the remaining aggregate statistics can aid the user in

determining if the model is producing reasonable results. By using census data, origin/destination

survey results, travel characteristics studies, or by comparing results with other areas that exhibit

similar travel characteristics, the user can evaluate the validity of the data or parameters used by the

trip generation model.

Since there are no approved values or ranges for any of these statistics, a comparison with similar

urban areas, or previous model updates of the same area, is considered to be an acceptable approach

to determining trip generation validity. The most critical statistics to view during model validation

would be person trips per dwelling unit and person trips per employee.


SECTION 7

FUTURE MODEL ENHANCEMENTS

The earlier sections of this report describe the FSUTMS trip generation model as it now exists.

Recommendations were made on the use of new sources for key model parameters such as the

GRATES and DUWEIGHTs. However, ongoing changes in demographics and travel behavior

require another look at the structure of the GEN model. A number of key areas will be addressed

as part of future FDOT-sponsored research studies and discussions by the Model Task Force.

Potential enhancements to the GEN model may be divided into the following categories:

• Influence of Lifestyle/Life Cycle on Trip Generation

• Travel Behavior of Seasonal Residents

• Analysis of Trip Attraction Rates

• Analysis of Hotel-Motel Trip Generation

• Update ZDATA3 Procedures

• Update ZDATA4 Procedures

Each of these areas of concern will be discussed in the following paragraphs.

INFLUENCE OF LIFESTYLE/LIFE CYCLE ON TRIP GENERATION

The Tampa Bay Regional Transportation Analysis (TBRTA) included an extensive home interview

origin-destination survey to identify the factors which most influenced travel behavior. The surveys

found that life cycle was a very significant factor in determining the number of person trips per

household. The new TBRTA models reflect a cross-classification model which stratifies dwelling

units into three life cycle categories:

• Households without Children

• Households with Children

• Households with Retirees


The lifestyle/life cycle approach may be considered as either a supplement or a possible replacement

for the present GEN cross-classifications. Additional travel characteristics studies in other parts of

Florida continue to be conducted to determine the impacts of life cycle on trip generation in other

areas. The ability to obtain reliable estimates on household life cycle composition via the census

must also be considered in formulating recommendations on whether to adopt this same approach

to trip generation for all FSUTMS applications.

FDOT District 4 has been conducting research aimed at further refinement of the lifestyle trip

generation approach. A cross-classification, slightly different from that of the RTA, has been tested

and recommended. The recommended cross-classification matrix stratifies households by presence

of children for all trip purposes. For home-based work trips, the number of workers per household

is another key stratification. For other trip purposes, the number of persons per household is

recommended in place of workers per household. Both the RTA and District 4 models stratify

vehicle availability into four categories (0, 1, 2, 3+ autos/household). The lifestyle trip generation

approach recommended by FDOT District 4 is described in a May 1997 report entitled “Enhanced

FSUTMS Trip Generation Model.” Application of this approach will be further explored as part of

ongoing model validation studies in Broward and Palm Beach Counties.

TRAVEL BEHAVIOR OF SEASONAL RESIDENTS

Each winter, areas of South and Central Florida become a temporary home to "snowbirds" --

seasonal residents who live in northern states much of the year but return to Florida each year during

the winter months. The 1992 Lee County Travel Characteristics Study (LCTCS) was designed to

analyze the travel behavior of seasonal residents and compare their travel behavior with that of

permanent residents in the same area.

As part of the LCTCS, separate trip production rates were developed for seasonal- and permanent-

resident dwelling units. It was found that seasonal residents, who are mostly retirees, make relatively

few work trips when compared to their permanent resident counterparts. Seasonal residents tend to

make more shop trips per dwelling unit than do the permanent resident households. The Southwest

Florida Regional Planning Model, and each MPO model within this region, includes a “dual” trip


generation model that conducts trip generation separately for permanent and seasonal resident

households based on trip rate data from the LCTCS.

Future consideration will be given to modifying GEN to accept separate cross-classifications on

seasonal and permanent residents. The same considerations as with the life cycle approach to cross-

classification, as noted in the previous section, will be considered with regard to formulating

recommendations on dealing with seasonal/permanent stratifications in GEN.

ANALYSIS OF TRIP ATTRACTION RATES

As noted earlier, although considerable research has been conducted on the generation of trip

productions in Florida, minimal research has been accomplished on estimating trip attraction rates.

This shortcoming is becoming more important now as nonhome-based trips have increased

dramatically in response to a parallel increase in the proportion of two-worker households.

Consideration will be given to conducting employer-based trip surveys, similar to those completed

recently by the Texas Transportation Institute.

ANALYSIS OF HOTEL-MOTEL TRIP GENERATION

Most urban areas in Florida still use the standard default trip rates for hotel-motel (or transient)

dwelling units developed as part of Model Update Task B. Most travel characteristics surveys

conducted recently in Florida have excluded hotel-motel dwelling units. The TBRTA is the only

example of a recent survey in Florida which has addressed the issue of hotel-motel trip generation.

Future surveys of hotel-motel units conducted in other parts of the state will determine if the Tampa

Bay survey rates can be transferable to other models. However, at this time the only available hotel-

motel trip production rates for use in Florida are the GEN default rates and those from the newer

TBRTA surveys.

UPDATE SPECIAL GENERATOR PROCEDURES

At present, a manual process is required to develop a ZDATA3 file by multiplying employment

estimates against the appropriate special generator trip rate and allocating those trips to appropriate


purposes. One consideration in updating the GEN model would be a more automated method of

computing special generator trips whereby the model would search for the employment data (from

ZDATA2) and match up the appropriate trip rate based on a land use code.

There is also a real need to update accepted special generator trip rates. Since the rates

recommended in Model Update Task B are now approximately 20 years old, it will be determined

if they should be updated through a series of special generator surveys. Future research will also

determine if other land use types should be considered for special generator applications.

UPDATE INTERNAL-EXTERNAL TRIP PROCEDURES

Development of a ZDATA4 file to describe internal-external (IE) trips also involves several manual

operations. The current FSUTMS trip generation model approach to IE trips has several

shortcomings:

• Generation of the ZDATA4 file is a somewhat cumbersome, manual process;

• There is no linkage between the EXT model and the estimation of internal-external trips inGEN; and

• Once IE trips are estimated, there is no standard method of allocating these trips to representFSUTMS trip purposes.

Presently IE trips are handled as part of the GEN model, but the Model Task Force will discuss

whether it would be more appropriate to somehow link the generation of all external trips to an

external model. This revised external model could be accomplished in conjunction with developing

a more efficient method of estimating IE and EE trips. The issue of allocating IE trips to FSUTMS

trip purposes is important to urbanized areas which are directly adjacent to other neighboring

urbanized areas. In these situations, a significant proportion of IE trips are actually daily work, shop,

and other types of trips. Without the ability to distribute some "internal" trips across the study

boundary, inaccuracies in trip generation and distribution may result.

One possible solution to the above-mentioned limitations would be to modify the external model to

generate external-external and internal-external trips from one (or more) file(s) describing the


following information about each external zone:

• Zone number or range of zones• Total number of external trips• Percent Internal-External trips• Percent External-External trips• Percent of EE trips to every other external zone (list each one)

• Percent of IE trips as Home-Based Work Productions• Percent of IE trips as Home-Based Shop Productions, etc.

Both the Tampa Bay RTA and District 4 enhanced trip generation models have addressed some of

the weaknesses inherent in the existing FSUTMS internal-external approach. The RTA allocates IE

trips into routine and occasional categories while the District 4 model allocates IE trips to internal

FSUTMS trip purposes.

SUMMARY

Trip generation is one of the most important steps in the typical transportation modeling process.

While the GEN model has served Florida well for the last 15 years, recent changes in socioeconomic

characteristics and travel behavior require that new research be conducted to ensure that the

FSUTMS trip generation model remains on the cutting edge of national trends in the practice of

travel demand forecasting. In addition to issues addressed earlier in this section, recent trends in

freight and time-of-day modeling may impact the future structure of trip generation in Florida.

Future modifications to the FSUTMS models will be discussed with the Model Task Force and its

Trip Generation Subcommittee. Input will also be received through FSUTMS Users Groups and the

Florida ITE Modeling Subcommittee. This input from modeling practitioners throughout Florida

will be used to refine future enhancements to the trip generation model.

APPENDIX A

GEN.ALL FILE, GEN FORTRAN CODE

$DOS ECHO ON$DOS REM * * * * * GEN ***** - - S T A R T

%DOS ECHO OFFSDOS IF EXIST GEN.OUT DEL GEN.OUT

SDOS DATIMESDOS GEN

SDOS DATIMESDOS ECHO ON$DOS REM ***** GEN ***** -- END

BOOS ECHO OFF

PROGRAM GENCC FOOT GEN -- CONVERTED TO IBM PC BY JIM FENNESSY

C -- DKS ASSOCIATES, JUNE, 1986

C -- JIM FENNESSY, THE URBAN ANALYSIS GROUP, AUGUST, 1994

C TO PERMIT USER-SPECIFIED ATTRACTION RATES

CC MGDIFIED FOR TRUCK AND TAXI BY KEN KALTENBACH 3/1B/B7

L

C MODIFIED TO MATCH MAINFRAME BY MIKE DOHERTY s/31/88LC V A R I A B L E S A N D UATRICES

CC ADU,R*4- AUTOS PER DU. TAKES ON THE UHOLE VALUES D,l,OR 2. USED AS

C AN ARGUMENT IN THE ‘LGOKUP’ FUNCTION, UHICH REWIRES REAL

C ARGUMENTS.C AT(2500,8),R*4- MATRIX OF THE ATTRACTIONS. DIMENSIONS ARE

C (ZGNE,PURPOSE).C AU(2500,8),R*4- UNADJUSTED ATTRACTIONS MATRIX;DOES NOT ACTUALLY EXISTC IN THE PROGRAM, BUT UHEN REFERED TO IN THE DOCUMENTATION, MEANS

C THE AT MATRIX, BEFORE ADJUSTMENT.

C ATTL,R*4- TOTAL ATTRACTIONS (HB + NHB + TT + EI). PRINTED WT IN THE

C ‘VITAL STATISTICS’ .C BULL,R*4- VARIABLE YHICH RECEIVES THE VALUE RETURNED BY THE ‘LOOKUP’

C FUNCTION.C CHRA,CHRMNS,CHRP,CHRPLS,CHRT,R*4- THE CHARACTERS ‘A’,‘-‘,‘P’,‘+‘,

C AUDIT’, WHICH ARE USED IN INTERPRETING THE ZDATA3 RECORDS.

C COMEMP,R*4- COMMERCIAL EMPLOYMENT; VARIABLE (22) ON THE ZDATA2 CARD.

C DES(6),R*4- ARRAY OF THE 24 CHARACTERS IN THE ‘DESCRIPTOR’ FIELD ON

C THE ZDATA3 RECORD.C DUH,DUM,DUS,R*4- THE NUMBER OF HOTEL/MOTEL,MULTI-FAMILY,OR SINGLE-C FAMILY DUELLING UNITS; VARIABLES (1), (9), OR (17) ON ZDATA1.

C DUUT(17,5),R*4- MATRIX OF THE “DUELLING UNIT UEIGHTS”, OR THEC PERCENTAGES OF DUELLING UNITS UITH 1,2,3,4, AND 5 OR MGREC PERSONS PER DU. IN EACH OF THE 17 RANGES OF AVERAGE PERSONS PER

C D U . , FROCl ‘O-1 .12 ’ TO ‘6 .00 AND UP’ .

C EIP,R*4- THE EXTERNAL-INTERNAL PRODUCTIONS FOR A ZONE, AS READ FROM

C AN EIPROD RECORD AND PLACED INTO COLUMN 6 OF THE P (PROOUCTION)

C MATRIX.C EIAT,R*4- THE TOTAL EXTERNAL-SIJJERNAL ATTRACTIONS FGR ALL ZONES; THE

C SUM OF COL. 6 OF THE AT (ATTRACTION) MATRIX; ALSO EQUAL TO EIPT.

C EMPT,R*4- TOTAL EMPLOYMENT FOR ALL ZONES.C EMPPT,R*4- TOTAL EMPLOYMENT PER POPULATION; THE RATIO OF EMPT TO POPT.

C HB,R*4- HOnE-BASED PURPOSE_ TAKES ON THE UHOLE VALUES ‘1’,‘2’,‘3’, AND

C ‘4’; USED AS AN ARGUMENT IN THE “LOOKUP” FUNCTION, WHICH REQUIRES

C, REAL ARGLTMENTS.C HBOAU,R*4- TOTAL ‘HOME-BASED OTHER’ ATTRACTIONS

C FOR ALL ZONES, BEFORE ADJUSTMENT; THE SJM OF

C COLWN 4 OF THE AU MATRIX.C HBOPT,HBOAT,R*4- TOTAL ‘HOnE-BASED OTHER’ PRODUCTIONS AND ATTRACTIONS

C FOR ALL ZONES, AFTER ADJUSTMENT; THE SUM OF

C COLUMN 4 OF THE P AND AT MATRICES.

C HBSHAU,R*4- TOTAL ‘HOWE-BASED SHOPPING’

C ATTRACTIONS FOR ALL ZONES, BEFORE ADJUSTMENT;

C THE SLTM OF COLWN 2 OF THE AU MATRIX.

C HBSHPT,HBSHAT,R*4- TOTAL ‘HWE-BASED SHOPPING’ PRODUCTIONS AND

C ATTRACTIONS FOR ALL ZONES, AFTER ADJUSTMENT;

C THE SUM OF COLUMN 2 OF THE P AND AT MATRICES.

C HBSRAU,R*4- TOTAL ‘HOWE-BASED SOCIAL-REC’

C ATTRACTIONS FOR ALL ZONES, BEFORE ADJUSTMENT;

C THE SUM OF COLUIIN 3 OF THE Au MATRIX.C HBSRPT,HBSRAT,R*4- TOTAL ‘HOE(E-BASED SOCIAL-REC’ PROOUCTIONS ANDC ATTRACTIONS FOR ALL ZONES, AFTER ADJUSTMENT;C THE BUM OF COLWN 3 OF THE p AND AT MATRICES.C HBUAU,R*4- TOTAL ‘HCUE-BASED UORK’C ATTRACTIONS FOR ALL ZONES, BEFORE ADJUSTUENT;C THE SUM OF COLWN 1 OF THE Au MATRIX.C HBUPT,HBUAT,R*4- TOTAL ‘HWE-BASED WRK’ PRCOUCTIOWS A N DC ATTRACTIONS FOR ALL ZONES, BOTH BEFORE AND AFTER ADJUSTMENT;

C THE SUM OF COLUMN 1 OF THE P AND AT MATRICES.C HBPT,HBAT,R*4- TOTAL ‘HOWE-BASED’ PRODUCTIONS ANDC ATTRACTIOWS FOR ALL ZONES, AFTER ADJUSTMENT.C HBOR,HBSHR,HBSRR,HBUR,R*4- THE RATIOS BETUEEN THE HOnE-BASED ‘OTHER’,C ‘SHOPPING’,‘SOCIAL-REC’,AND ‘UORK’ TOTAL PROOUCTIONS AND TOTALC ATTRACTIONS BEFORE ADJUSTMENT, USED TO ADJUST TOTAL AND ZONALC INTERNAL ATTRACTIONS TO EWAL TOTAL AND ZONAL INTERNAL

C PRODUCTIONS.

C HBLK(17,3,3,4),R*4- THE MATRIX OF THE HOnE-BASED TRIP GENERATIOWC RATES. THE DIHENS. ARE (PERS.pER Du RANGE, AUTOS PER DU, DUELLINGC U N I T T Y P E, PURPOSE). F O R A GI VE N Z~NE,DUELLING U N I T T Y P E, A N D

C PURPOSE, 3 RATES ARE LOOKED UP AND INTERPOLATED (ONE FOR EACH

C AUTOS PER DU CATEGORY). THESE ARE WULTIPLIED BY THE APPROPRIATE

C UEIGHT FOR THAT ZONE FOR THAT CATEGORY (‘PCA’, OR PERCENT AUTOSC VALUE) READ FROn THE ZDATAl RECORD, AND THE RESULTING 3 RATES

C ARE ADDED TOGETHER. THIS PROCESS RESULTS IN THE 12 HOnE-BASEDC PROOUCTIOWS RATES FOR EACH ZONE.

C HHCAT(5,3,3,),R*4- INDIVIDUAL COMPONENTS OF HOUSEHOLD SIZE BROKENC OUT BY THE CATEGORIES USED IN THE MODEL PERSONS PER DU,AUTOSC PER DU, AND DUELLING UNIT TYPE

C INCC+IE,R*4- AVERAGE ZONAL INCOnE, AS READ FROW A ZDATAZ RECORD; ITC IS NOT USED IN THE PROGRAM.C INDEMP,R*4- ‘INDUSTRIAL EMPLOYMENT’ FOR A ZONE, FROM THE ZDATAZ CARD.

C IIAJ,R*4- TOTAL INTERNAL-INTERNAL ATTRACTIONS FOR ALL ZONES; THE SUMC OF THE FIRST 5 COLUMNS OF THE AT MATRIX.

C IAT(S),IP(8),1*4- THE INTEGER VERSIONS OF A R0U FROM THE AT AND PC MATRICES, RESPECTIVELY, PLUS TOTALS; USED TO PRINT A REPORTC AND WRITE OUT FILES UITHOUT DECIMAL POINTS.

C ISGVAR(5),1*4- THE INTEGER VERSION OF THE SGVAR ARRAY; USED TO PRINTC A REPORT UITHUJT DECIMAL POINTS.

C IZ,I*4- THE INTERNAL ZONE NUMBER; THE USER-CODED ENTRY POINT 13D ISC ENTERED ONCE FOR EACH IZ.

C ISECT,I*4- THE SECTOR NUMBER FOR AN INTERNAL ZONE, FROM THE ZDATAlC RECORD.C IZONE,I*4- THE ZONE NLIMBER FOR AN INTERNAL ZONE,FROM THE ZDATAl CARD.

C ITRP,I*4- THE INTEGER VERSION OF TRP; USED TO PRINT A REPORT UITHWTC DECIMAL POINTS.

C IALLZ,I*4- THE LAST ZONE NLIMBER OF INTERNAL AND EXTERNAL ZONES; USED

C FOR CALCULATING TOTALS AND PRINTING REPORTS.

C IHBUPT,IHBHPT,IHBRPT,IHBOPT,INHBPT,ITTpT,IEIPT,IHBUAT,IHBHAT,IHBRAT,C IHBOAT,INHBAT,I\TAT,IEIAT,I*4- THE INTEGER VERSIONS OF:

C HBUPT,HBSHPT,HBSRPT,HBOPT,NHBPT,EIpT,HBUAT,HBSRAT,HBOAT,NHBAT,C TVEHAU, AND EIAT; USED TO PRINT REPORTS UITH NO DECIMAL POINTS.

C IPERUK,IPERSH,IPERSR,IPEROT,IPERNHB,IPERIE,I*4- THE INTEGERC VERSIONS OF PERUK,PERSH,PERSR,pEROT,PERNHB,PERIE

C IPOPT,IOPDUT,IODUT,IEMPT,ISEMPT,IHBpT,IHBAJ,IPT,IATTL,I*4- THE INTEGER

C VERSI0NS OF: POPT,OPDUT,ODUT,EHPT,SEMPT,HBPT,HBAT,PT, AND ATTL;

C USED TO PRINT OUT REPORTS WITHOUT DECIMAL POINTS.

C LIN,I*4- THE NLTMBER OF LINES UHICH HAVE BEEN PRINTED ON A PAGE IN

C THE “PRODUCTIONS AND ATTRACTIONS” REPORT.

C LOOKUP- A FUNCTION IN IJMaIEL UHICH RETRIEVES VALUES ENTERED ON LOOKUP

C TABLE INPUT CARDS. LOOKUP IS CALLED UITH 7 R*4 ARGUMENTS, ONE ORC MORE OF UHICH UILL BE DUtWY IF THE LOOKUP TABLE HAS LESS THAN 7C DIMENSIONS. IN THIS IJMCOEL, THE LOOKUP TABLE COWTAINS THE RATESC FROW F I G U R E S 23,25,26, AND 27, OR 24,25,26, AND 28, OU PP.71.79C

C

C

CC

C

CC

CCC

CC

CC

C

OF MODEL UPDATE PHASE I, TASK B. THE 4 DIMENSIONS ARE PERSOWS/DU,AUTOS/DU, DU TYPE, AND HB PURPOSE.

MAT(5,3,3,4),R*4- THE HB TRIP GENERAJIW RATES MATRIX AS READ FROM

THE &DATA CARDS. USED TO DISPLAY THE RATES.NEUZN- THE NU4BER OF A ZOME UHICH HAS BEEN CREATED BY A ZONE SPLIT

AS READ FRW THE ZDATA4 FILE.NHBUA,R*4- TOTAL NON-HOME BASED ATTRACTIONS FOR ALL INTERNAL

ZONES BEFORE ADJUSTMENT; THE SUM OF COLUMN 5 OF THE AU

MATRIX.NHBPT,NHBAT,R*4- TOTAL NON-HOME BASED PROOUCTIONS AND ATTRACTIONS

FOR ALL INTERNAL ZONES; THE Sun OF COLUnN 5 OF THE P AND ATMATRICES.

NHBR,R*4- THE RATIO BETUEEN ‘NON-HOWE-BASED’ TOTAL PRODUCTIONS AND

TOTAL ATTRACTIONS BEFORE ADJUSTMENT; USED TO ADJUST THE TOTAL

AND ZONAL INTERNAL ATTRACTIONS TO EWAL THE TOTAL AND ZONAL

INTERNAL PRODUCTIONS.C NSLOPE,I*4- THE SLOPE NUMBER INDEX USED IN INTERPOLATING THE TRIPC RATES. NSLOPE=l IS THE SLOPE BETUEEN THE FIRST AND SECOND

C MIDPOINTS OF THE 17 PERS/DU RANGES IN THE RATE (HBLK) BATRIX.C NSLP1,1*4- NSLOPE + 1; THE INDEX AT THE HIGHER PERS/DU END OF THEC SLOPE LINE.C NL#tSG,I*4- NUMBER OF SPECIAL GENERATORSC ODUH,R*4- OCCUPIED HOTEL/MOTEL DUELLING UNITS; THE HOTEL/MOTEL DUSC FROn THE ZDATAl CARD TIMES THE % OCCUPIED HOTEL/MOTEL DUS (ALSOC FRW ZDATAl)C 0DUM,CWS,R*4- OCCUPIED MULTI- OR SINGLE-FAMILY DUS; THE MLILTI- ORC SINGLE-FAMILY DUS FRW THE ZDATAl CARD TIMES (100% MINUS THEC % VACANT MULTI- OR SINGLE-FAUILY DUS).

C OOUT,R*4- OCCUPIED TOTAL MIS; THE SW OF ODUS, AND OOUM. ‘TOTALC OCCUPIED DUS’ IN THE STATISTICS REPORT.

C OPDUM,OPDUS,R*4- OCCUPIED PERMANENT MULTIFAMILY OR SINGLE-FAMILY DUS;C THE MULTI- OR SINGLE-FAMILY DUS FROW THE ZDATAl CARD TIMES (100%C MINUS THE % VACANT AN0 NON-PERU. MULTI- OR SINGLE-FAMILY DUS).

C OPDUT,R*4- OCCUPIED PERMANENT TOTAL DWELLING UNITS. THE SUM OF OPDUMc AWD OPDUS.

C P(2500,8),R*4- THE MATRIX OF PRODUCTIONS. ITS DIMENSIONS AREC (ZONE NUMBER,PURPOSE).

C PA,R+4- PRODUCTION/ATTRACTION INDICATOR. ON THE ZDATA3 CARDS, A ‘P’C OR AN ‘A’ INDICATES A PRODUCTION 0R ATTRACTION SPECIALC GENERATOR, RESPECTIVELY.

C PCA(3,3),R*4- THE MATRIX OF THE % OF DUS UITH O,l, AND 2+ AUTOS, FORc SUNGLE-FAMILY,MULTI-FAMILY, AND HOTEL/MOTEL DUELLING UNITS. THEC DIMENSIOWS ARE (DU TYPE,AUTOS/DU CATEGORY). THE FIRST TWO ROUSC ARE READ FROn THE ZDATAI CARD. RW 3 (HOTEL/MOTEL) IS DEFINED AS

C ‘0.,100.,0.‘, OR, 100% OF H/M DUS ARE DEFINED AS HAVING 1 AUTOC PER DU.C PCOH,R*4- THE PERCENT OCCLIPIED HOTEL/MOTEL DUS FROH THE ZDATAl CARD.

C PCVM,PCVS,R*4- THE PERCENT VACANT MULTIFAMILY OR SINGLE-FAMILY DUSC AS READ FR0M THE ZDATAl CARD.C PCVTM,PCVTS,R*4- THE PERCENTAGE OF VACANT AND TRANSIENT MULTIFAMILY

C OR SINGLE-FAMILY DUS, READ FROM THE ZDATAl CARD.

C PDU,R*4- PERSONS/DU. IT TAKES ON THE UHOLE VALUES: 1,2,3,4,5. AN

C ARGUMENT IN ‘LO0KUP’, UHICH REQUIRES REAL ARGUMENTS.

C PDUT,R*4- RESI. POP. PER DU; THE SUM OF THE SF AND MF POPULATIONS FRW

C THE ZDATAl CARD, DIVIDED BY THE TOT. OCCUPIED PERU. DUS, ‘OPDUT’.

C PERNEU,R*4- THE PERCENT OF Z0NAL P’S 8 A’S TO BE ASSIGNED TO THE NEU

C PART OF A ZONE UHICH HAS BEEN SPLIT, 1.00 - PEROLD .

C PEROLD,R*4- THE PERCENT OF ZONAL P’S & A’S TO BE ASSIGNED TO THE OLD

C P A R T OF A Z0NE UHICH HAS BEEN SPLIT, EIP / 100 .C PERDU,R*4- THE VECTDR OF PERSONWDU BY DU TYPE. PERDU(l)=PERDUS,

C PERDU(2)=PERDUM,PERDU(3)=PERDUH.C PERDuH,pERDUM,PERDUS,R*4- PERSO+WDU, FOR HOTEL-M0JEL, MF, AND SF DUS.

C PERDUH IS THE TOTAL HOTEL/MOTEL OCCUPANTS FRCM THE ZDATAl CARD

C (POPH), DIVIDED BY THE OCCUPIED H/M DUS (DUH*(PCON/lOO.)). PERDUM

C AND PERDUS ATE THE TOTAL MF AND SF PERU. RESIDENTS FR0M THE ZDATA

C CARD (POW AND POPS) DIVIDED BY THE OCCUPIED PERR. MF AND SF DUS

C (DW*(l.-(pCVTH/lOO.)) AND DUS*(l:PCVTS/lOO.)).

C PERN,R+4- THE PERCENTAGE OF ZONAL P’S 8 A’S TO BE ASSIGNED TO THE NEU

C PART OF A ZONE UHICH HAS BEEN SPLIT, AS READ FRW ZDATA4 FILE.

C PERUK,PERSH,PERSR,PEROT,PERNHB,PERIE,R*4- PERCENTAGES OF EACH

C TRIP PURPOSE OF TOTAL PERSON TRIPS.

C POPH,POt’M,pOPS,R*4- THE TOTAL H/M, PERM. MF, AND PERU. SF RESIDENTS

C FOR A ZONE, FRCBI THE ZDATAI CARD.C POPT,R*4- THE TOTAL PERU. POP. RESIDING IN SF AND MF DUS; THE SUM OF

C POPS AND POPM FOR ALL ZONES; ‘TOTAL RESIDENTIAL POPULATION’ INC THE VITAL STATISTICS REPORT.C PR(3,4),R*4- THE MATRIX OF PRODUCTIONS FOR A ZONE. THE DIMENSIONS ARE

C (DUTYPE,HBPURPOSE).C PROD(4),R*4- THE VECTOR OF PROOUCTI0NS FOR A ZONE. THE DIMENSION IS

C (HBWRPOSE). EACH TERM OF PROD IS THE SUM OF A COLUMN OF PR FOR

C A ZONE.C PT,R*4- TOT. PRODUCTIONS FOR ALL ZONES, INCLUDING HB,NHB, & Et TRIPS.

C PT,R*4- PERSOW TRIPS (PRODUCTIONS) PER PERMANENT, OCCUPIED DU

C PT,R*4- PERSON TRIPS (PRODUCTIONS) PER EMPLOYEEC PRPSTR(4),R*4- THE NAMES OF THE FOUR HB PURPOSES, USED IN DISPLAYING

C TRIP RATES: ‘HBU’,‘HBSH’,‘HBSR’,‘HBO’.

C R,R*4- THE RATIO OF THE TOTAL Et ATTRACTIONS TO THE TOTAL II

C ATTRACTIONS. IT IS USED IN CALCULATING THE EI ATTRACTIONS FOR

C EACH ZONE, AT(I,6).C RATE(3,4),R*4- THE MATRIX OF CALCULATED PRODUCTION RATES (TRIPWDU).C THE DIHENSIONS ARE (DUJYPE,HBPURPOSE)C SCHENR,R*4- THE SCHOOL ENROLLMENT FOR A ZONE, FROn THE ZDATA2 CARD.

C SEMPT,R*4- THE TOTAL SERVICE EMPLOYMENT FOR ALL ZONES.

C SEREMP,R*4- THE SERVICE EMPLOYMENT FOR A ZONE, FROn THE ZDATAZ CARD.

C SFMF,R*4- DU TYPE (SF,MF, OR HM). IT TAKES ON THE WHOLE VALUES 1,2,3.

C USED AS AN ARGUMENT IN THE LOOKUP FUNCTION, UHICH REQUIRES R*4

C ARGLIMENTS.C SGPCT(5),1*4- THE VECTOR OF THE 5 PERCENTAGES OF TRIPS FOR THE FIVE

C POSSIBLE SPECIAL GENERATOR PURPOSES, FROn THE ZDATA3 CARD.C SGPCTT,R*4- THE TOTAL OF THE 5 TERMS OF SGPCT FOR A SPECIAL GENERATOR.

C, SUPPOSED TO EMIAL 100.0 PERCENT.C SGVAR(5),R*4- THE VECTOR OF THE 5 ‘NECESSARY VARIABLE’ AMOUNTS (IF ‘1’

C UAS CODED IN CC 10) FROn THE ZDATA3 CARD.C SLCPE(17,3,3,4),R*4- THE MATRIX OF THE SLOPES OF THE STRAIGHT LINES

C BETWEEN THE MIDPOINTS FOR THE PERSONWDU RANGES IN THE HBLK

C MATRIX. (THE RELATIONSHIP BETUEEN THE 17 MIDPOINTS AND THE 17

C HBLK VALUES F0R A GIVEN PURPOSE, DU TYPE, AND AUTOS/DU CLASS

C DEFINES A CURVE, UHICH IS APPROXIMATED AS STRAIGHT LINES BETUEEN

C EACH 2 POINTS.) THE DIMENSIONS ARE (PERSONS/DU,AUTOS/DU,DVlYPE,

C HBPURPOSE).C STEMp,R*4- THE RATIO FOR THE TOTAL SERVICE TO TOTAL (FOR ALL ZONES)

C EMpLOYflENT. PRINTED AS PART OF THE VITAL STATISTICS REPORT.

C THHCAT(5,3,3,),R*4- TRIPS PER CDnPONENT OF HUJSEHOLD SIZE BROKEN

C OUT BY THE CATEGORIES USED IN THE MODEL PERSONS PER DU,AUTOS

C PER DU, DUELLING UNIT TYPE , AND TRIP PURPOSE

C THOlJSE,R*4-A HOUSE IN UHICH YOU DRINK TEA (SEE M0VIE UIJH MARLON

CC

BRANDO ) AND ALSO A RUNNING TOTAL OF HHCAT(5,3,3) USED FOR

SUMMARYC JOTEMP,R*4- THE TOTAL EMPLOYMENT FOR A Z0NE, READ FRW JHE ZDATA2 CARDC JPDuT,R*4- RESIDENT + TRANSIENT POPULATION PER DU (CALCULATED)C DIVZDED BY THE TOTAL OCCUPIED DUS, ‘rnw .C JPII,R*4- TOTAL, PLUS, OR MINUS INDICATOR; mu THE BATa CARD JNCC

C0Lt-!HN 10, A’T’ INOICAJES TfiAT THE TRIPS JN C O L U M N S 1,.;6 A R E

CTOTAL TRIPS FOR THAT SPEC. GEN -I A ‘+’ INDICATES THAT THE TRIPS

CARE ADDITIONAL TRIPS ABOVE UNAT bAlfJL0 NORMALLY BE CALCULATED FORTHE S-G., AND A

CI-’ INDICATES THAT THE TRIPS ARE TRIPS TO BE

SUBTRACTED FROM UHAT UWLD NORMALLY BE CALCLJLAJED.

C JpOPJ,R*4- TOTAL PERMANENT + TRANSIENT POPULATION IN SINGLE AND MLJJ-C

CFAMILY Dus (RATE OF PERSONS PER DU FOR PERMANENT DUS ASSUMED ANDMULJZPLIED BY TOTAL OCCUPIED DUS).

C TRp,R*4- TOTAL TRIPS, OR DIFFERENCE IN TRIPS (ALUAYS PERSON TRIPS) DUEC TO A SPEC. GEN . , READ FROM THE ZDATA3 CARD.C JRACE(99),L*4- VECTOR OF PLACES IN THE PROGRAM UHERE CERTAIN VARIABLESC

CCAN BE URJJJEN WJ; USED FOR DEBUGGING PURPOSES. TRACE CAN BE

CTURNED ON AT UllOOEL EXECUTION TIME. IT IS AN UNDOCUMENTED PARAM-

CETER ON THE &OPTION CARD. COOE ‘&OPTION TRACE(Nl)=J,JRACE(N2)=T,. . ..‘.UHERE Nl,N2

C,...

TRACE(l)-TRACE(20)ARE THE TRACE POINTS UANTED.

C TRACE(21)SLOPES AND RATES AS THEY ARE CALCULATED.

C TRACE(U)EACH ZONE UHEN ENTERED.

C JJRJpH(5,3,3,4),R*4-EACH VALUE FR@f LooKuP TABLE UHEN FOUND.

C TVEHAU, JVEHAT -RUNNING TOTAL OF JHHCAT USED FOR SJJfrJHARJES

C JVEHPT -TOTAL TRUCK TAXI ATTRACTIONS.

TOTAL TRUCK TAXI PROOUCJt0NS.

C XM(l7),R*4- THE VECJ0R OF THE MIDPOINTS OF THE PERSO~s/Du RANGES INC

CTHE HBLK MATRIX. THE 17 RANGES ARE SHOUN IN “WEL UPDATE

CPHASE 1, TASK B”, P-89. THE MIDPOINT OF THE &&/EST RANGE JS

CDEFINED AS 1.0 AND THAT OF THE HIGHEST R ANGE As 6.0.

INCLODE ‘PARAMTER. INC’

PARAMETER (MXPUR=6,NXRAT=6)

Cw /psi p(MXZONE,S)C@4MON / A s / AT(MXZONE,S)

REAL*4 DtJUT,P,AT,PCA,PERDU,*********

‘*

*

*

*

*

*

*

*

REAL*4

DUS,PCVTS,PCVS,PoPS,DL&PCVJM,PCw,mUS muM mur,

~O~“,D~H,~CO”,POPH,~NDEMP,COME”P,SEREM~’TOJE;~,

sCHENR,OPDUS,OPDUM,PERDUS,PERDUM,CDUH,P;RDUH,EtP,EIPT,HBUAT,HBSHAJ,HBSRAT,HBOAT,NHBAT,EIAT,IIAT,

R,POPJ,OPDUT,EHPJ,

SEMPT,HBPT,HBAT,PT,ATTL,PDUT,EMPPT,STEMP,HBUR,HBSHR,

HBSRR,HBOR,NHBR,TTR,C1AT,

TRP,SGPCTT,SGVAR,

PJDU,PTEMP,PERN,

TpDuT,TPTDU,JOTP,TOTAT,PERNEU,PEROLD,Mu(3),TEMPP,

HBUPT,HBUAU,HBSHPT,HBSHAU,HBSRAU,

HBSRpT,HBOPT,HBOAU,NHBPT,NHBAU,

TVEHpT,TVEHAU,

HHCAT(5,3,3),JHHCAJ(5,3,3,4),

JHCUSE(5,3,3),TTRtPH(5,3,3,4)

ATTRAJ(MXRAT,MXWR),DEFRAT(MXRAJ,MXPUR),ATTDAT~MXRAT)

l

DMNSJON DUUT(17,5),

*pCA(3,3),PERDU(3),

*SGVAR(5),IsGVAR(5),IP(8),IAT(8),

MAJ(5,3,3,4)CHARACTER*80 TITLE,CHARSO

C INtJIALIZE -- OPEN THE FILES FIRSTC

I N W T = 1

C CALL OPENF(l,INWT,‘FtLENAME.GEN’)DO 22 1=1,4

22 CALLCALL

C CALL

CALLCALLCALL

CALL

CALL

GETALT(FILNAMCt),INFtLE)

OPENF(2,tNWT,FtLNAM(7))OPENF(2,INOUT,‘DUUEIGHT.SYN’)

OPENF(11,INmT,FILNAM(1))OPENF(l2,INWT,FILNAM(2))OPENF(3,INWT,FILNAM(3))

OPENF(4,INWT,FILNM(4))OPENF(15,INWT,FILNAM(8))

INWT = 2

CALL OPENF(16,INWT,FILNAM(9))

INFILE = -FALSE.

CALLCALL

CALLCALL

C

C ZERO-OUTC

GETALT(FILNAM(5),INFILE)

GETALT(FILNAM(6),INFILE)

OPENF(9,INWT,FtLNAM(5))OPENF(10,INWJ,FILNAM(6))

THE P’S AND A’S ARRAYS

DO 40 J=1,7DO 40 I=l,MXZONE

P ( I , J ) = 0 . 0A T ( I , J ) = 0 . 0

40 CONTINUEC

c READ RUN-SPECIFIC PARAMETERSC

C READ(1,52) ZDAJAl,ZDATAZ,ZDATA3,ZDATA4,PRD,ATTR

c 5 2 FORMAT(T7,6AS/T7,6AS/T7,6AS/T7,6AS/T7,6AS/T7,6AS)C

c WRITE MODULE BANNER

URITE(16,53) EJECT

5 3 FoRMAT(Al/////////////T24,&I ********* ***et***** *** *** l/124,g,********** ********** *t** ***l/724,&I*** **+ ***** ***‘/T24,

g’*** ***** ****** ****** ***I)

URITE(16,54)

54 FORMAT(T24,&I*** ***** * * * * * * *** *+****‘,T24,

&I*** *** *** *** **ff*‘/T24,

&I********** ********** *** ****l/724,&’ ********* ******t*** l * * ***‘///I&T~O,‘(CONTACT BcwIsp ST A F F AT 9 0 4 - 4 8 8 - 4 6 4 0 IF You H AV E ‘,

~‘QUEST~OIJS)‘)C

C URITE DESCRIPTION SECTIONC

URITE(16,6D) EJECT

60 FORMAJ(Al,lX,g,**** ***** **** **** *t** ***** +t** ***** t**** *

&** * *‘/TZ,&I* * * * * * * * t * * * *

& * ** *‘/T&gt* * **** *** * **** * *t** * * l

C

C

C

C

CC

C

CC

CC

CC

C

C

C

& * * * *‘/T2,gtz l * l * * * * r * * *

& e 1, **I)

URIJE(16,61)6 1 FORiUT(T2,

g,**** ***+* **** l *** * * l * * * * t * *tt*t t

g** l *I///)URITE(16,62) ZDATAl,ZDATA2,ZDATA3,ZDATA4,PRD,ATTR,DATE,TIME

URITE(16,62) DATE,TIME6 2 FORMAT(T2,‘GEN MmULE (D552O93l.DRtVER.SETLtP.CNTL(GENMOOEL))’//

8J7,‘READs USER-PREPARED INPUT DATA DESCRIBING SOCIO-ECONOMIC’/

8T7,‘AND LAND USE FOR AN AREA AND CALCULATES AND WTPUTS’/

BT7,‘PRmUCTIOMS AND ATTRACTIONS.‘//&TZ,‘tNPUT DATA SETS FOR THIS RUN:‘//

877,6A8/&T7,6A8/&77,6~848/&T7,6A8//8T2,‘WTPUT DATA SETS FOR THIS RUN:‘//

&T7,6A8/&T7,6A8//

&TZ,‘DATE AND TIME OF THIS RUN:‘//

&T7,A8,’ (DDMMMYY) ‘,A8,’ (HH.WI.SS) ‘/)

6 2 FORMAJ(T2,‘GEN MmULE (D5520931.DRIVER.SETUP.CNTL(GENMmEL))’//

&T7,‘READS USER-PREPARED INPUT DATA DESCRIBING SOCIO-ECONOnIC’/8T7,‘AND LAND USE FOR AN AREA AND CALCULATES AND OUTPUTS’/

&T7,‘PRmUCTtOMS AND ATTRACTIONS.‘//&TZ,‘DATE AND TIME OF THIS RUN:‘//

&T7,A8,’ (DDMWYY) ‘,A8,’ (HH.MM.SS) ‘/)

URIJE(16,63)6 3 FORMAT(T2,‘GEN S T E P ’ / /

ILT7,‘PRINTS THE llOOULE DESCRIPTION AND ASSUMPTIONS, CALCULATES’/

&T7,‘PRmUCTIONS AND ATTRACTIONS, AND PRINTS THE MODULE’/

PT7,‘VtTAL S T A T I S T I C S . ‘ / /

&T2,‘LIMITATIONS/CAUTIONS’//

LT7,‘SEE FDOT GENERATIOU PROCEDURE.‘//)

WRITE (16 ,641 T ITLE

64 FORMAT ( / / / / / / ‘RUN T ITLE : ‘ ,A)

C URITE ASSLLMPTIONS SECTIONC

URITE(16,70) EJECT7 0 FORMAT(Al,lX,

&’ *** **** **** * * * * **** l **** ***** *** *

8 * ****‘/J2,&‘* * * * * * ** ** * * * * * * **

& * *‘/T2,gt***** *** *** * * *** **** * * * **

&f * ***I)

URtJE(16,71)

71 FORMAT(T2,&I* * * ** ** ** * l * **

& * * *‘/T2,

&I* * * * * * ***t *t* * * * * ***** *** *

8 * ****I///)C DO 75 L=1,4C DO 75 1=1,5

C DO 75 K=1,3

C DO 75 J=1,3

C HB = L

CCC

Cc 75CC SET

C

7 8

PDU = ISFMF = KADU = J-lMAT(t,J,K,L) = LOoKUP(PDu,~u.sFMF,~B.F,F,F)

CON1 1 NUE

THE DEFAULT ATTRACTION RATES

DO 78 J=l,MXPURD O 78 I=l,MXRAT

ATTRAT(I,J) = 0 . 0

CONTINUE

ATTRAT(4,l) = 1 . 8 0

ATTRAT(2.2) = 6 . 1 0ATTRAT(2,3) = 1 . 5 0AJTRAJ(3,3) = 1 . 5 0

ATTRAT(5.3) = 0 . 5 0ATTRAT(2,4) = 1 . 3 0

ATTRAT(3,4) = 1 . 3 0

ATTRAT(5,4) = 0 . 2 0

ATTRAT(6,4) = 1 . 3 0

ATTRAT(2,5) = 2 . 9 0

ATTRAJ(3,5) = 1 . 4 0

ATTRAT(5,5) = 0 . 3 0ATTRAT(4,6) = 0 . 4 5ATTRAT(5,6) = 0 . 3 0

DO 178 J=l,MXPuRDo 178 I=l,MXRAT

DEFRAT(1.J) = ATTRAT( I ,J )178 CONTINUE

C READ IN THE GENERATION RATES

C

80

7 7

79

81

READ (15,9,END=86) CHAR80IF (CHARSO(l:l).EQ.CNJLZ) Go JO 86

IF (CHAR80(1:5).EP.‘TRACE’) THEN

READ (CHAR80,77) ITRACE

FORMAT (6X, 12)TRACE(ITRACE) = .TRUE.

ELSEIF (CHAR80(1:1).EP.‘A’) THEN

ANYRAT = -TRUE.

R E A D (CHAR80,79) I,(ATTRAT(J,I),J=l,MXRAJ)

FORMAT (16X,I3,1X,lOF6.2)

ELSEIF (CHAR80.NE.l ‘) T H E N

R E A D (CHAR80,Sl) I ,J ,K

FORMAT (314,4F4.2)I F (I.LT.l.OR.I.GT.5 .OR.

1 J.LT.l.OR.J.GJ.3 .oR.

2 K.LT.l.OR.K.GT.3) THEN

ANYERR = .TRUE.

URITE (16,75) CHAR8075 FORMAT (’ * * * C R I T I C A L * * * E R R O R OM RATE RECORO > ‘ ,A)

ELSER E A D (CHAR80,81) I,J,K,(MAT(J,J,K,L),L=l,4)

ENDIF

ENDIF

ENDIF

ENDIF

Go TO 8086 CLOSE (15)

IF (ANYERR) Go TO 7800

URITE(16,74)74 Fm~T(lX,‘pRmucJtoN TRIP RATES BY PERS/DU, AUTOS/DU, DU TYPE, AN

&D PURPOSE’ //lX,‘FRDll 1111 I, TASK B, PP 71 (72 FOR TALLAHASSEE AND

& JACKSONVJLLE),74,76,‘/1X,‘AND 77 (79 FOR TALLAHASSEE AND ‘,

&‘GAINESVILLE).‘/)DO 76 L=1,4WITE(16,760) PRPSTR(L)

7 6 0 F~~T(lX,T32,A4/T12,‘AUTOS/DU’,T36,’AUTOS/DU’,T58,‘AUTOS/DU’/

& T13,‘0 1 2+‘,T37,‘0 1 2+‘,T60,‘0 1 2+‘)

URITE(16,761) (MAT(l,J,l,L),J=l,3),(~T(l,J,2,L),J=l,3),

& (MAT(l,J,3,L),J=l,3)7 6 1 FORMAT(T4,‘PERS/ li,3F5.2,T28,‘PERS/ li,3F5.2,T51,‘PERS/ 1’.

& 3 F 5 . 2 )URITE(16,762) (MAT(Z,J,l,L),J=1,3),WT(2,J,2,L),J=l,3),

8 (MAT(Z,J,3,L),J=l,3)7 6 2 FORMAT(T6,‘DU 2’,3F5.2,T3O,‘DU 2’,3F5.2,T53,‘DU 2’,

& 3 F 5 . 2 )DO 764 1=3,5uRtTE(16,763)I,(IWAT(I,J,l,L),J=l,3),J,(~T(J,J,2,L),J=1,3),

& I,(MAT(I,J,3,L),J=l,3)7 6 3 FORMAJ(T10,11,3F5.2,734.11,3F5.2,T57,t1,3F5.2)

764 CONTINUE

URtTE(16,765)7 6 5 FORMAT(/T16,‘SF’,T42,‘MF’,T62,‘H/M’/)

76 CONTINUE

C

C NRITE OUT ATTRACTION RATESc

U R I T E (16,lOOl) EJECT,LUSNAM1001 FORMAT (A,’ DEFAULT ATTRACTION RATES’//lZX,lO(ZX,A))

URITE (16,1003)1003 FORMAT (’ ‘)

1005

1110

1111

1120

1121

1200

C

DO 1110 NP=l,MXPURHJTE (16,1005) PURNAM(NP),(DEFRAT(J,Np),J=l,MXRAT)

FORMAT (2X,A8,2X,lOFl0.2)

CONTINUE

IF (ANYRAT) THENU R I T E (16,llll) LUSNAM

FORMAT (////I USER -- SPECIFIED ATTRACTION RATES’//lZX,l0(2X,A)//)

URITE (16,1003)DO 1200 NP=l,MXPUR

DO 1120 I=l,MXRATJF (ATTRAJ(t,NP).EP.DEFRAT(t,Np)) THEN

RATDIF(1) = ’ ’ELSE

RATDIF(1) = ‘*I

ENDIF

CMTINUE

WJJE (16,1121) PURNAM(NP),(ATTRAT(I,NP),RATDJF(J),I=~,MXRAT)

FORMAT (2X,A8,4X,lO(F8.2,lX,A))

CONTINUE

ENDIF

C READING IN OF DUELLING UNIT UEIGHTS BY PERSONS/DU

URlTE(16,105) EJECT

105 FORMAT(Al,‘DUELLING UNIT UEIGHT MATRIX’//lX,‘FROM MU I, TASK B,‘,

8’ PAGE 89. GIVES PERCENTAGES OF 1,2,3,4, AND S’/lX,‘PERSONS/DU’,

8 ‘FOR 17 RANGES OF AVERAGE PERSONS/DU’)

DO 110 1=1,17

READ(2,lOO) (DUUT(t,J),J=l,5)100 FORMAT(5F4.2)110 CONTINUE

WRITE (16,106) ((DUUT(I,J),J=l,5),t=l,l7)106 FORMAT(//TlZ,‘PERS/Du PERCENTAGE MAKEUP’//Tl5,‘1’,4X,‘2’,4X,

& ‘3’,4X,‘4’,4X,‘5’/& lX,‘o.o - 1 . 1 2 ‘,5F5.2/1X,‘1.13-1.37 ‘,5F5.2/

& lx,‘1.38-1.62 ‘,5F5.2/1X,‘1.63-1.87 ‘,5F5.2/& lX,‘l.88-2.12 ‘,5F5.2/1X,‘2.13-2.37 ‘,5F5.2/

8 lX,‘2.38-2.62 ‘,sF5.2/lX,‘2.63-2.a7 ‘,5F5.2/

& lX,‘2.88-3.12 ‘,5F5.2/1X,‘3.13-3.37 ‘,5F5.2/

8 lx,‘3383.62 ‘,5F5.2/1X,‘3.63-3.87 ‘,5F5.2/8 1X,13.88-4.12 ‘,5F5.2/1X,‘4.13-4.37 ‘,5F5.2/& 1X,:4.38-4.62 ‘,5F5.2/lX,‘4.63-5.99 ‘,5F5.2/

8 lX,‘6.00-UP ‘,5F5.2/)

Cc___.________

C

C

CC

C

C

C

CC

CC

C 25C

CALCIJLATION OF SLOPES OF STRAIGHT LINES BETUEEN MIDPOINTSOF pERSOUS/DU RANGES IN LOOKUP MATRIX. USED FOR DOING

LINEAR INTERPOLATION OF TRIP RATES.

DO 140 L = 1,4

DO 140 K = 1,3

DO 140 J = 1,3

DO 140 I = 1,16

SLC+‘E(I,J,K,L)=(HBLK(I+l,J,K,L) - HBLK(I,J,K,L))/(XM(I+l)-XM(1))

I F ( T R A C E ( 2 5 ) ) URITE(16,25) S L O P E ( I , J , K , L )

FORMAT(30X,‘SLOPE= ‘,F7.4)

C 140 CONTINUEc....._______

C LOAD IN Z ARRAY.L

C Loop ON ZONES

DO 8000 12=1,20NES

C

C READ IN THE ZONAL ATTRIBUTES

C

READ (11,9,END=160) CHAR80

IF (CHARSO(l:l).EP.CNTLZ) Go TO 160R E A D (CHAR80,151) ISECT(I2),IZONE,Dus,PCVTS,PCVS,POPS,

1 PCA(l,l),PCA(1,2),PCA(1,3),DUM,PCVTM,

2 PCVM,POPM,PCA(Z,l),PCA(2,2),PCA(2,3),

3 DUH,PCOH,POPH

151 FORMAT (lX,I3,14,F5.0,2F3.O,F5.0,3F3.0,F5.0,2F3.0,F5.0,3F3.0,

1 F5.O,F3.O,F5.0)

IF (IZOME.NE.IZ) THEN

ANYERR = .TRUE.

U R I J E (CHAR80,1151) tZ,IZONE1151 FORMAT (’ ***CRITICAL*** ON ZDATAl FILE -- LOOKING FOR ZONE’,Ib,

1 ’ AND FOUND ZONE’,I6)

CALL REMARK(CHAR80(1:77))

ENDIF

C R E A D (12,153,END=160) INDEMP,COMEMP,SEREMP,TOTEMP,SCHENR,JNcmE

C 153 FORMAT (SX,5F6.0,33X,F6.0)

READ (12,9,END=160) CHAR80IF (CHARSO(l:l).EP.CNTLZ) Go To 160READ (cHAR80,153) I2ONE,INDEMP,CCUEMP,SEREMP,TOTEMP,SCHENR

153 FORMAT (4x,I4,1OF6.0)

IF (IZONE.NE.12) THEN

ANYERR = .TRUE.URITE (CHAR80,1151) tZ,IZmE

1 1 5 3 F O R M A T (’ * * *CRIT ICAL** * oL1 ZOATAS F ILE -- LOOKING FOR ZONE’,I6,

1’ AND FOUND ZONE’,I6)

CALL REMARK(CHAR80(1:77))

ENDIFC ISECT =Z(1,12)

1 6 0 IF(ISECT(IZ).EQ.O) ISECT = IZ

CC

CCC

C

CCC

CC

C

C

CC

C

C

C

I ZONE =Z(Z,IZ)

DUS =Z(3, IZ)

PCVTS =Z(4,IZ)

PCVS =2(5,IZ)

POPS =Z(6,IZ)

PCA(l,l) =PCA(1,1)/100.

PCA(l,2) =PCA(1,2)/100.

PCA(1,3) =PCA(1,3)/100.

DUM =Z(lO, IZ)

PCVJM =Z(ll, IZ)

PCVM =Z(12, IZ)POPM =Z(13, IZ)

PCA(2,l) =PCA(2,1)/100.

PCA(2,2) =PCA(2,2)/100.

PCA(2,3) =pcA(2,3)/100.

DUH =Z(17,IZ)

PCOH =Z(lS,IZ)

POPH =Z(lP,IZ)

PCA(3,l) =O.O

PCA(3,2) =l.O

PCA(3,3) =0.0I NDEMP =Z(20, IZ)

COnEUP =Z(21,IZ)

SEREHP =Z(22, IZ)

TOTEMP =z(23, IZ)

SCHENR =Z(24, IZ)

I NCOnE =z(25, IZ)C.._.________

C CALCULATION OF RESIDENT POPULATION PER DU

C

OPDUS = DUS * (1 . - (PCVTS/100.))

OPDUM = DUM * (1. - (PCVTM/100.))

IF(OPDUS.LE.0.0) GO TO 155

PERDUS = POPS/OPDUS

IF(PERDUS.GT.5.99) PERDUS = 5.99

Go TO 157155 PERDUS = 0.0

157 IF(OPDUM.LE.O.0) GO TO 159

PERDUM = POPM/OPDUM

IF(PERDUM.GT.5.99) PERDUM = 5.99

Go JO 161

159 PERDUM = 0.0c______._.______

C CALCULATION OF HOTEL-MOTEL POPULATION PER Du

L

161 mUH = DUH * (PCOH/lOO.)

IF(mUH.LE.O.O) Go To 163

PERDUH = POPH/muHIF(PERDUH.GT.5 .99)

GO TO 165163 PERDUH = 0.0

c___________..

PERDUH = 5.99

C

C

C

C

C

C

C

C

CCC

C

C

C

C

C

C

C

CC

C

C

DETERMINATIOU OF RANGE OF pop. PER DU AND INTERPOLATION FOR RATE OF

TRIPS PER DU FOR A GIVEN DU TYPE AND PURPOSE.

THE POINT-SLOPE FORMULA IS USED, UITH THE MIDPOINTS OF THE

PERSONS PER Du RANGES BEING THE X’S, AND THE TRIP RATES FORTHE GIVEN MIDPOINTS FROM THE HBLK MATRIX BEING THE Y’S.

SLOPE=(YZ-Y1)/(X2-X1)=M, IN TRADITIONAL NOTATION.Y= MX+B, FOR ANY X AND Y.

B=Y2-MX2, FOR Y=Y2.

Y=MX+YZ-MX2, ORY=M(X-XZ)+Y2.

IF X IS A PERDU(l),(Z), OR (3), CALCULATED FROM THE ZDATAl

CARD, ITS FWR HB-PURPOSE RATES ARE CALCULATED AS FOUR Y’S

FROM THE EWATION. THE ACTUAL RATE FOR A GIVEN PURPOSE ANDSF-MF-HM VALUE IS THE UEIGHTED SL’M OF 3 INTERPOLATED RATES. THE

UEIGHTS ARE THE PERCENTAGES OF 0,1, AND 2+ AUTO HOUSEHOLDS READFROn THE ZDATAl CARD. THE PROPER SLOPES TO USE ARE FIRST CALCU-

LATED AS IF EACH PERDU RANGE HA0 A UIDTH OF .25. EXCEPT THE16TH m AWD THE L A S T O N E UHICH IS O P E N E N D E D . YOU C A N ’ T H A V EA ZONE USE THE LAST ONE AND STILL INTERPOLATE. NOTE NSLOPE(17)

SPECIFIED ON PAGE 89 OF MUI,TASK B.

C

C

C

C

C

C

C

C

C

C

C

C

165

2 6

PERDU( 1) = PERDUSPERDU(2) = PERDLIM

PERDU(3) = PERDUH

m u s =

muw =

rnUH q

m u ( l )

mu(2)m u ( 3 )

DUS * (1 . - (Pcvs/100.))

DLIM * ( 1 . - (PCVM/lOO.))

AS CALCULATED ABOVE

= mus=mut4= rnUH

IF(TRACE(26)) URtTE(16,26) IZ,PERDUS,PERDUM,PERDUH,(mU(J),I=l,3)FOR~T(J6,‘PERDJJS= ‘,F7.4,1X,‘PERDU+t= ‘,F7.4,1X,‘PERDUH= ‘,F7.4,

ilmu(i) = ‘,F7.4,‘mU(2) = ‘,F7.4,‘mU(3) = ‘,F7.4)

D O 9 9 0 IDUTYP=l,S. . . . . . .

CALCULATE UHICH PERSONS PER HOUSEHOLD GRWP( 1-17) SHOULD BE USED

THE FACT THAT pERS/DU RANGES ARE ALMOST ALL EOUAL TO .25, AS WELL As

THAT A REAL EXPRESSION IS TRUNCATED WHEN PUT INTO AN INTEGER.

INTERPOLATION BETWEEN RATES HAS BEEN REMOVED FROM THIS PROGRAM

NSLOPE = 4. * PERDU(IDUTYP) - 2 . 5

IF (NSLOPE.LT.l) NSLOPE = 1

IF (NSLOPE.GT.16) NSLOPE = 17

C CALCULATE UHAT PORTION OF THE HWSEHOLDS ARE IN EACH GROUP

C BY DU TYPE, BY PERS PER DU, BY AUTOS PER Du

C

D O 9 9 0 IHHSZE=1,5

D O 9 9 0 IADU=1,3

HHCAT(IHHSZE,IADU,IDuTyp) =

lmu(tDLtJyp) * DUUT(NSLOPE,IHHSZE) + PCA(tDUTYP,IADU)

THWSE(IHHSZE,IADu,tDuTYp) =1JHWSE(IHHSZE,IADU,IDUTYP) + HHCAT(IHHSZE,IADU,IDUTYP)

Cc NW IF EVERYTHING HAS GONE RIGHT THUS FAR UE UILL WLTIPLY THE

C APPROPRIATE HHCAT BY THE CORRESPONDING TRIP RATE FOR EACH OF 4

C HOllEBASED PURPOSES

L

D O 9 9 0 IPURP=1,4THHCAT(IHHSZE,IADU,tDuJYp,tpuRp) =

1HHCAT(IHHSZE,IADU,IDuTYp) * MAT(IHHSZE,tADU,tDUTYP,IPURP)

CIF(TRACE(19))URITE(l6,19) JZ,JWRJ’,JDuTYJ’,JAJU,

~(~~~AT(J,J~~,IDUTYP),~=~,~),~THH~AT(K,~ADU,IDUTYP,IPURP),K=~,~~

1 9 FORMAT(lX,14,‘WRP= ‘,tZ,‘DUTYP= ‘,12,‘ADu= ‘,12,

1’HWSEHOLD = ‘,5F6_3,‘TRIPS= ‘,5F6.3)c

C AND THEN CALCULATE HOnEBASED PRmUCTIONS

L

TTRIPH(IHHSZE,IADU,IDuJYp,tWRp) =1TTRIPH(IHHSZE,IADU,IDUTYP,IPURP)+THHCAJ(IHHSZE,IADU,IDUTYP,IPURP)

P(I2,IWRP) = P ( I Z , I P U R P ) + THHCAT(IHHSZE,IADU,IDUTYP,IWRP)

990 CONTINUE

Cc CALCULATE ATTRACTIONS FOR A ZONE AND NHB 8, TRUCK/TAXI PRmUCTIONS

C

C AT(IZ,l) = 1.8 * TOTEMP

C AT(IZ,Z) = 6 . 1 * COnEUP

C AT(JZ,3) = .5 * (DUS + DLIM, + 1 . 5 * S E R E M P + 1 . 5 * COMEMP

C AT(tZ,4) = .2 * (DUS + DUM) + 1.3 * SEREMP + 1 .3 * COMEUP

c * + 1.3 * SCHENR

C AT(I2,5) = .3 * (DUS + DUM) + 2.9 * COnEUP + 1 . 4 * S E R E M P

C AT(IZ,6) = .3 * (DUS + DLIM) + .45 * T O T E M P

ATTDAT(1) = INDEMP

ATTDAT(2) = COMEMP

ATTDAT(3) = SEREMP

ATTDAT(4) = TOTEMP

ATTDAT(5) = DUS + DUM

ATTDAT(6) = SCHENRDO 1600 NP=l,MXWR

AT(IZ,NP) = 0 . 0DO 1500 NF=l,MXRAT

AJ(IZ,NP) = AT(IZ,NP) + ATTRAJ(NF,NP)*AJTDAT(NF)

1 5 0 0 C O N T I N U E

1600 COWTINUEI F ( T R A C E ( 2 8 ) ) URITE(16,28) IZ,(AT(JZ,J),J=1,6)

2 8 FORMAT(lOX,‘IZ= ‘,14,1X,‘AT= ‘,6(F8.1,1X))c_______.......

C CALCULATION OF SOnE TOTAL VITAL STATISTICSC

TPOPT = (PERDUS * mUS)

mu1 = mus + mull +

P0PT = POPS + POPM +

OP0UT = oPDus+oPDLm+

EMPT = EMPT + TOTEMP

SEMPT = SEMPT + SEREMPc__________....

c..............

+ (PERDLJM * mUM) + POPH + TPOPT

( DUH * PCOH / 100.) + mUT

POPT

OPDUT

C MAJOR BRANCH DOClN TO STATEMENT 8000 AND BACK TO START OF ROUTINE

C IF P’S AND A’S FRCM ZDATA 1 AND 2 NOT YET CALCULATED FOR ALL

C ZONES.

8000 CONTINUEc.......____...c..............

C READ IN SPECIAL GENERATORS,PRINT REPORT, AND CALCULATE TRIPS

C NO SPECIAL GENERATORS FOR TRUCK AND TAXI TRIPS IS INCLUDEDC

URtTE(16,2011) EJECT2 0 1 1 FORMAT(Al,T28,‘SPECIAL GENERATmS’///T2,‘ZONE’,T16,‘DESCR.’,

+ T32,‘P/A’,T37,‘TRIPS’,T45,‘HBU% HBSHX HBSR% HBO% NHBX’,* T72,‘JOTEMP COMEMP SEREMP SCHENR Du’/)

NUMSG = 0

2001 READ(3,9,END=3001) CHAR80IF (CHARM(l:l).Eo.CNTLZ) Go TO 3 0 0 1READ(CHAR80,2000) ZN,PA,TPM,TRp,(SGPCT(I),I=1,5),

* (SGVAR(I),I=1,5),(DES(I),I=1,6)2 0 0 0 F0RMAT(T5,14,2A1,F6.0,513,5F5.0,6A4)

C

NLIMSG = NUMSG + 1I F ( T R A C E ( 2 9 ) ) URITE(16,29) ZN,TPM,TRP

2 9 FORMAT(lOX,‘ZN= ‘,14,1X,‘TPM= ‘,Al,lX,‘TRP= ‘,F6.0)

C

SGPCTT = 0.0

DO 2005 1=1,5

SGPCTT = SGPCJT + SGPCT(1)

2005 CONTINUE

IF(SGPCTT.EP.100.0) Go TO 2009URITE(16,2006) ZN,(DES(I),I=1,6)

2 0 0 6 FORMAT(lOX,‘ZONE ‘,14,1X,‘: S P E C . G E N . -> ‘,6A4,1X,

* ‘PURPOSE %“S DO NOT ADD TO 100%. SPEC. GEN. IGNORED.‘)

Go TO 2001C

2009 IF(PA.EP.CHRP) Go TO 2050

IF(PA.EP:CHRA) Go TO 2015

URITE(16,2014) ZN,(DES(t),I=1,6)2 0 1 4 FORMAT(lOX,‘ZONE ‘,14,1X,‘: S P E C . G E N . -> ‘,6A4,1X,

* ‘ N O T L A B E L E D P O R A . SPEC. GEN. IGNORED.‘)

GO TO 2001Cc . . . . . . . . . . . . . .

C BEGINNING OF PROCESSING OF SPECIAL GEN FOR ATTRACTIOUSC

2015 IF(TPM.EP.CHRT) GO TO 2025

IF(JPM.EP.CHRPLS) Go TO 2035IF(TPM.EP.CHRMNS) Go TO 2023

WITE(16,2016) ZN,(DES(I),I=1,6)2 0 1 6 FORMAT(lOX,‘ZONE ‘ , 1 4 , 1 X , ‘ : S P E C . G E N . -> ‘,6A4,1x,

* ‘J, +, OR - NOT SPECIFIED. SPEC. GEN. IGNORED.‘)

Go TO 2001

2023 TRP = -l.O*TRP

GO TO 2035C2025 AT(ZN,l) = AT(ZN,l) - 1 . 8 * SGVAR(1)

AT(ZN,Z) = AT(ZN,2) - 6 .1 * SGVAR(2)

AT(ZN,3) = AT(ZN,3) - .5 * SGVAR(5) - 1.5 * ( S G V A R ( 3 ) + s G V A R ( 2 ) )

AT(ZN,4) = AT(ZN,4) - .2 * SGVAR(5) - 1.3 * (SGVAR(3) + sGVAR(2)* + SGVAR(4))

AT(ZN,5) = AT(21,5) - .3 * S G V A R ( 5 ) - 2 .9 * SGVAR(2)* - 1 .4 * SGVAR(3)

AT(ZN,6) = AT(ZN,6) - .3 * SGVAR(5) - -45 * S G V A R ( l )

2025 ATTDAT(l) = 0ATTDAT(2) = SGVAR(2)

ATTDAT(3) = SGVAR(3)

20242026

302035

2030

ATTDAT(4) = SGVAR(1)ATTDAT(5) = SGVAR(5)ATTDAT(6) = SGVAR(4)

DO 2026 NP=l,MXPuR

DO 2024 NF=l,IIXRAJ

AT(ZN,NP) = AT(ZN,NP) - ATTRAT(NF,NP)*ATTDAT(NF)

CmT I NUE

CONJIWUEJF(TRACE(30)) URITE(16,30) ZN,(AT(zN,J),J=l,MXWR)

FORMAJ(lOX,‘ZN=‘,I5,’ A T = ‘,lOF9.1)

DO 2040 I=l,MXWRIF (AT(ZN,t).GE.0.0) Go Jo 2031

URITE(16,2030) ZN,(DEs(J),J=l,6),JFoRMAT(lOX,‘ZOUE ‘,14,1X,‘: S P E C . G E N . -> ‘,6A4,1X,

* ‘CAUSED ATT. FOR WRPOSE ‘,Il,’ TO BE LT ZERO.‘/

* 10X,‘cHEcK N E C E S S . V A R I A . & Z D A T A 1 & 2.‘)

2031 A T ( Z N , I ) = AT(zN,I) + T R P * (SGPCT(I)/100.0)

I F (JRACE(31)) URtTE(16,31) zN,J,TRp,AT(zN,t)3 1 FoRMAT(l0X,‘zN= ‘,14,1X,‘t= ‘,tl,lX,‘TRP= ‘,Fs.l,lX,

* ‘AT= ‘, F7.1,jX)IF (AT(ZN,I).GE.0.0) Go Jo 2040

URITE(16,2036) ZN,WS(J),J=l,6),J2 0 3 6 FoRMAT(lOX,‘ZOUE ‘,14,1X,‘: SPEC. GEN. -’ ‘,6A4,lX,

* ‘CAUSED ATT. FOR PURPOSE ‘,tl,’ TO BE LT ZERO.‘/

* lOX,‘CHECK NECESS. VARIABLES. ‘ )

2040 CON1 1 NUE

Go TO 2054

C . . . . . . .c BEGJNNJNG OF PROCESSING OF SPECIAL GEN FOR PRmucTJms

C2050 IF(TPM.EP.CHRMNS) Go Jo 2053

IF(TPM.EQ.CHRPLS) Go To 2055

URITE(16,2051) ZN,(DES(J),J=l,6)

2 0 5 1 FORMAT(lOX,‘zmE ‘ , 1 4 , 1 X , ‘ : S P E C . G E N . -’ ‘,6A4,1X,

* ‘PRm. S.G. U/ + OR - NOT GIVEN. SPEC. GEN. IGNORED.‘)

W TO 2001

C

2053 TRP = -l.O*TRP

2055 DO 2058 1=1,5

P(ZN,I) = p(z#,J) + TRP * (SGPCT(I)/l00.0)

I F ( I . E Q . 5 ) W T O 2 0 5 8

IF(P(ZN,I).GE.0.0) W T o 2058

URITE(16,2056) ZN,(DEs(J),J=l.b),t2 0 5 6 FoRMAT(lOX,‘ZONE ‘ , 1 4 , 1 X , ‘ : S P E C . GEN. -’ ‘,6A4,lX,

* ‘CAUSED PRD. FOR WRPOSE ‘,Il,’ TO BE LJ ZERO.‘/

* lOX,‘cHECK NECESS. VARIABLES. ‘ )

2058 CONTINUE

TEMPP = AT(ZN,I) + P(ZN.1)

I F ( T E M P P . G E . 0 . 0 ) W To 2054URITE(16,2056) ZN,(DEs(J),J=l,6).t

2054 TEMPP = 0

ITRP = TRP

DO 2059 1=1,5

ISGVAR(t 1 = SGVAR(1)

2059 CONTINUE2 0 6 0 URJJE(l6,2065) z~,(DEs(I),I=1,b),pA,T~,JTRp,(sGpcT(t)~t=l’5)’

* (ISGVAR(I),I=l,5)

2065 FORIIA1(1X,I4,77,6A4,733,A1,T36,A1,T38,16,745,5(14,1X),* T72,5(16,1X))

W TO 2001c.. . - . . . . . . . - :.

C SET NHB AND TT PRODUCTtOWS EWAL TO NHB AND TT ATTRACTIONS

3001 DO 2099 I = 1,ZONES

P(I,5) = P(t,5) + AT(t,5)

P(I,6) 1 P(I,6) + AT(I.6)

2099 CONTINUEc...______.....

C READ IN ZDATA4 FILE AND PRINT REPORT FOR IE PRmUCTIONS

CIF(NUMSG.EP.O) URITE(16,3002)

3002 FORMAT(///TZ,‘NO SPECIAL GENERATORS INPUT.‘)

URITE(16,3010) EJECT

3 0 1 0 FORMAT(Al,T20,‘1-E PRmUCTIOMS’///TlO,‘ZONE’,T20,‘1-E P R O D . ‘ )

NZONES = ZONES3050 READ(4,9,END=4000) CHAR80

IF (CHARSO(l:l).EP.CNTLZ) GO TO 4 0 0 0READ(CHAR80,3000) ZN,EIP,NEUZN,PERN

3 0 0 0 FORMAT(T5,14,T9,F6.0,14,F3.0)

IF(NEUZN.LT.1) GO TO 3058URITE(16,3062)

3062 FORMAT(T3,‘** UARNING ** SPLITTING ZONES IS A SIGN OF MORAL ‘,

1’TURPITUDE AND MENTAL LAZINESS’)I F ((EIP+PERN).GT.lOO.OR.(EIP+PERN).LT.l00) URITE(16,3065) Z N

3065 FORMAT(‘** YARNING ** SUM OF PERCENTAGES FOR SPLITTING ZONE’,

1 1 4 , ’ NOT EQUAL 100’)

3003

3058

3060

PEROLD = EIP / 1 0 0 .

PERNEU = PERN / 100.

DO 3003 J=l,b

P(NEUZN,J) = P(ZN,J) * PERNEU

AT(NEUZN,J) = A T ( Z N , J ) * PERNEU

p(zN, J) = P(ZN,J) l PEROLDAT(ZN,J) = A T ( Z N , J ) * PEROLD

CONTINUE

ISECT(NEUZN) = ISECT

NZONES = NZONES + 1GO TO 3050

P(ZN,7) = EIP

EIPT = E I P T + P(ZN,7)

URITE(16,3060) Z N , E t P

FORMAJ(T10,14,T20,F8.0)

IALLZ = ZN

W TO 3050C_.._________

c COMPUTE NHB pRmuCTIONS,TOTAL PRm. AND ATTR.,AND I-E ATTRACTIONS

C FOR ALL ZONESC

4000 DO 4100 I=l,ZONES

HBUPT = HBUPT + P(I,l)HBUAU = HBUAU + AT(I,l)

HBSHPT= HBSHPT+ P(I,2)

HBSHAU= HBSHAU+ AT(1,2)

HBSRAU= HBSRAU+ AT(I,3)

HBSRPT= HBSRPT+ P(1,3)

HBOPT = HBOPT + P(I,4)

HBOAU = HBOAU + AT(I,4)

NHBPT = NHBPT + P(I,5)

NHBAU = NHBAU + AT(I.5)TVEHAU = TVEHAU + AT(t,6)

TVEHPT = TVEHPT + p(I,6)

4100 CONTINUEEIAT = EIPTI IAT = HBUAU + NBSHAU + HBSRAU + HBOAU + NHBAU + TVEHAU

R = EIPT/IIATDO 4200 I=l,tONES

AT(I,7) = (AT(I,1)+AT(I,2~+AT~I,3)+AT(I,4)+AT~t,5)+AT(I,6~~*R

4200 CONTINUEc..._._______

C ADJUST ATTRACTIONS TO PRMUCTJOMS

L

HBW = HBUPT/HBUAU

HBSHR = HBSHPT/HBSHAU

HBSRR = HBSRPT/HBSRAu

HBOR = HBOPT/HBOAU

NHBR = NHBPT/NHBAUTTR = TVEHPT/TVEHAUHBUAT = HBUAU * HBURHBSHAJ= HBSHAU* HBSHR

HBSRAT= HBSRAU* HBSRR

HBOAT = HBOAU * HBORNHBAT = NHBAU * NHBRTVEHAT = TVEHAU l TTR

C

DO 5000 I=l,IALLZ

AT(I,l) = AT(I,,l) * HBM

AT(t ,2) = AT(I,2) * HBSHRAJ(I.3) q AT(I,3) * HBSRR

AT(I,4) = AT(I,4) * HBOR

AJ(J,5) = AT(I,5) * NHBR

AT(I,6) = AT(I,6) * TTR5000 COWTINUE

c...._________

C URITE P’S AND A’S TO FILES 9 AND 10

C

DO 5100 I=l,IALLZ

DO 5101 J=1,7

I P ( J ) = I F I X ( P ( I , J ) + .5)

IAT = I F I X ( A T ( I , J ) + -5)

5101 CONTINUE

URITE(9,5050) CHRP,I,(IP(J),J=l,7)

5 0 5 0 FORMAT(‘G’,A1,15,’ 1 ‘,717)

URtTE(10,5050) CHRA,I,(IAT(J),J=l,7)

5100 CONTINUECc....__________

C PRINT REPORT OF PRmUCTIONS AND ATTRACTIONS BY ZONE

C

LIN = 1

DO 6300 I=l,NZONES

I P ( 8 ) = 0

t A J ( 8 ) = 0

DO 6020 J=1,7

TOTP = P( I ,J ) + TOTP

t P ( J ) = I F I X ( P ( I , J ) + .5)

I P ( 8 ) q I p ( 8 ) + I P ( J )TOTAT = A T ( I , J ) + TOTAT

IAT = t F I X ( A T ( I , J ) + .5)

I A T ( 8 ) = I A T ( 8 ) + tAT(J)

I F (tP(J).LT.O) THENANYERR = .TRuE.U R I T E (16,6017) t , J , J p ( J )

6 0 1 7 F O R M A T (’ NEGATIVE P”“s -- ZONE =‘,15,‘, W R P O S E =‘,12,‘, p”“s

1 =‘,112)

END1 FI F (tAJ(J).LT.o) THEN

ANYERR = .TRUE.

U R I T E (16,6019) I,J,JAT(J)6019 FORMAT (’ NEGATIVE A”“S -- ZONE =‘,15,‘, PURPOSE =‘,12,‘, A”“s

1 =‘,112)

ENDIF6020 CONTINUE

I F ( L I N . N E . l ) W T o 6 2 0 0URITE(16,6100) EJECT

6100 FoR~T(Al,T50,‘pRmucTtms AND ATTRACTIONS BY ZONE’////4X,

1’ SCTR Z O N E U K - P S H P - p S R - P M I S - P N H B - P TT-P I E - P ’ ,*t TOT-P UK-A SHP-A S R - A ‘,

* ‘ M I S - A N H B - A TT-A I E - A T O T - A ’ / )6 2 0 0 URJTE(16,6210) IsE~T(I),I,(J~(J),J=~,B),(JAT(J),J=~,~)

6210 FORMAT(4X,2(I6),2(7(t6,lX),17~lX))

LIN = LIN + 1I F ( L I N . L E . 5 5 ) W To 6300

LIN = 16300 CONTINUE

C

ZPl = NZONES + 1

CDO 6380 I=ZPl,IALLZ

I P ( 8 ) = 0

tAT(8) q 0

DO 6320 J=1,7

I P ( J ) = I F I X ( P ( I , J ) + - 5 )

TOTP = P(I,J) + TOTP

I P ( 8 ) = I P ( 8 ) + I P ( J )

IAT = I F I X ( A J ( I , J ) + -5)

JOTAJ = AT(I,J) + TOJAT

I A T ( 8 ) = I A T ( 8 ) + IATIF (IP(J).LT.O) THEN

ANYERR = -TRUE.U R I T E (16,6017) I , J , I p ( J )

ENDIF

IF (IAT(J).LT.o) THENANYERR = .TRUE.

W R I T E (16,6019) I,J,JAT(J)

ENDIF6320 CONTINUE

C

IF(LIN.NE.1) W T o 6 3 4 9

URITE(16,6100) EJECT6 3 4 9 URITE(16,6350) I,(I~(J),J=~.~).(JAT(J)‘J=~‘~)

6 3 5 0 FORMAT(10X,16,2(7(16,1X),t7,1X))

LIN = LIN + 1I F ( L I N . L E . 5 5 ) W To 6380

LIN = 16380 CmTINUE

C

URIJE(16,6400)6400 FORMAT(T17,2(7(’ ‘,1X),’ ‘,1X))

Cc CALCULATE REST OF VITAL STATISTICS AND PRINT

C

HBPT = HBUF’T + HBSHPT + HBSRPT + HBOPT

HBAT = HBUAT + HBSHAT + HBSRAT + HBOAT

PT = HBPT + NHBPT + TVEHPT + EIPT

PSUBT = HBPT + NHBPT + TVEHPT

ATTL = HBAT + NHBAT + TVEHAT + EIAT

PDUT = WPT/OPWT

TPDUT = TPOPT/mUTEMPPT = EMPT/POPTSTEMP = SEMPT/EMPTIPOPT = WPT

ITPOPT = TPOPTIOPDUT = OPDUT

JOOUT = rnUJ

IEMPT = EMPT

I SEMPT = S E M P T

I HBPT = HBPT

I HBAT = HBATIPT = PT

IATTL = ATJLPTDU = PSUBT / mUT

TPTDU = PSUBT / OP0UT

PTEMP = PSUBT / EMPT

IHBUPT = HBUPTI HBHPT = HBSHPT

IHBRPT = HBSRPTIHBOPT = HBOPT

INHBPT = NHBPT

ITTPT = .TVEHPTIEIPT = EIPTITOTP = IHBUPT + IHBHPT + IHBRPT + IHBOPT + INHBPT + ITJPT

& * I E I P T

IPSUBT = IF IX(PSUBT + .5)

IHBUAU = HBUAU

1 HBHAU = HBSHAU

IHBRAU = HBSRAU

IHBOAU = HBOAU

I NHBAU = NHBAU

ITTAU = T V E H A UI HBUAT = HBUAT

IHBHAT = HBSHAT

IHBRAT = HBSRAJ

I HBOAT = HBOAT

INHBAT = NHBAT

ITTAT = JVEHAT

IEIAT = EIAT

ITOTAT = IHBUAT + IHBHAT + IHBRAT + IHBOAT + INHBAT + ITTAT

& + IE IAT

IPERUK = IFIX((HBUPT / P T * 1 0 0 . ) + .5)IPERSH = IFtX((HBSHPT / P T * 1 0 0 . ) + -5)

IPERSR = IFIX((HBSRPT / P T * 1 0 0 . ) + .5)

IPEROT = IFIX((HBOPT / P T * 1 0 0 . ) + .5)

IPERNH = IFIX((NHBPT / P T * 1 0 0 . ) + .5)

IPERTT = IF IX( (TVEHPT / PT l 100.) + .5)

IPERIE = I F I X ( ( E I P T / P T * 1 0 0 . ) + .5)c............__..

URITE(16,6450) IHBUPT,IHBRPT,JNHBpT,IEtpT,

1 tHBUAT,IHBRAT,INHBAT,IEJAT,

2 JHBHPT,IHBOPT,ITTPT,IToTp,

3 IHBNAT,IHBOAT,IJTAT,tToTAT,4 IHBUAU, IHBRAU,5 IHBHAU,IHBOAU,6 IpERUK,IPERSH,IPERSR,IPEROT,IPERNH,IPERJT,IPERIE

6 4 5 0 FORMAT(T2,‘ADJUSTED TOTAL’,2(4(17,7X),lX)/,

lT23,3(t7,7X),t8,7X,3(17,~),J8//ZT2,‘UNADJUSTED TOTALSi,54X,2(t7,7)o/

2T2, ’ ‘,54X,2(7X,17)//

3T6,‘PERCENTAGES’,2X,7(13,‘%‘,3X))

C

C WRITE VITAL STATISTICS SECTION

C

URITE(16.50) EJECT5 0 FORMAT(Al,lX,

&I **t* **+** *** ***** t**** **tt ***** ***** **** *

&‘**‘/T2,&‘* * * * * * * * * * *

S’/TZ,&I *** * ***** * * *** * * * *

&**I/12&’ *’ * * * * * * * * *

& *oURITE(16,51)

5 1 FORMAT(T2,gt**** * l * * *It*** **** * ***** l * * * **

&**I///)URITE(16,7500) IPOPT, ITPOPT, IOPDUT, ImUT, ISEMPT, IEMPT,PDUT,TPDUT,

*EMPPT,SJEMP7500 FORMAT(////TZ,‘TOTAL PERMANENT POPULATION ‘,T60,110//

*T2,‘TOTAL POPULATION (PERMANENT + TRANSIENT) ‘,T60,110//

*T2,‘TOTAL PERMANENTLY OCCUPIED DUELLING UNITS ‘,T60,110//

*T2,‘TOTAL OCCUPIED (PERMANENT + TRANSIENT) DWELLING UNITS’,* T60,110//*T2,‘TOJAL SERVICE EMPLOYMENT ‘,T60,110//

*TZ,‘TOTAL EMPLOYMENT ‘,TbO,llO//

*72,‘PERMANENT POPULATION PER PERMANENTLY OCCUPIED DWELLING UNIT’,* T64,F6.2//

*T2,‘TOTAL POPULATION PER TOTAL OCWPIED DWELLING UNIT’,T64,F6.2//

*TZ,‘TOTAL EMPLOYMENT PER PERMANENT POPULATION ‘,T64,F6.2//

*T2,‘SERVICE TO TOTAL EMPLOYMENT ‘,T64,F6.2/)

URtTE(l6,7501) 1HBPT,IH6AT,IPT,IATTL,TPTDU,PTDU,PTEMP

7501 FoRMAT(*T2,‘TOTAL HOME-BASED PRODUCTIONS (PERSON TRIP ENDS) ‘,T60,110//*TZ,‘TOTAL HOnE-BASED ATTRACTIONS (PERSON TRIP ENDS) ‘,T60,110//

*J2,‘TOJAL PRmUCTIONS ‘,T60,110//

*12,‘TOTAL ATTRACTIONS ‘,T60,110//

*T2,‘INTERNAL PERSON TRIPS PER PERMANENTLY OCCUPIED DUELLING UNIT’,* T64, F6.2//*T2,‘tNTERNAL PERSON TRIPS PER TOTAL OCCUPIED DUELLING UNIT ‘,* T64, F6.2//‘12,‘INTERNAL PERSON TRIPS PER EMPLOYEE’,T64,F6.2)

c..............

URITE(16,7550) EJECT7550 FORMAT(Al,‘PLEASE NOTE THAT ALL TRIP WRPOSES ARE PERSON TRIPS’,

1’ EXCEPT TRUCK-TAXI AND IE TRIPS’/ZlX,‘TJfEy HAVE BEEN ADDED TOGETHER IN THE STATISTICS ABOVE AND’,

3’ THIS IS PROBABLY MISLEADING’/41X,‘HCUEVER THE NEXT BEST ALTERNATIVE IS TO CONVERT TRUCKTAXI’,

5’ TO PERSON TRIPS BY MULTIPLYING BY SOME ARBITRARY FACTOR’/

61X,‘UHICH IS PROBABLY WORSE’/71X,‘MORE AND BETTER STATISTICS8’ ARE AVAILABLE IN THE LUCHECK

URITE(16,7649) EJECT

7649 FORMAT(Al//)DO 7650 L=1,4

URITE(16,7601) PRPSTR(L)

ABOUT THE Z0ATAl AND ZDAT2 FILES’,

PROGRAM- RUN IT’)

7601 FORMAT(T40,‘HOnE BASED TRIPS’,/1 T32,A~/Tl2,‘AUTOS/DU’,T42,‘AUTOS/DU’,T70,’AuTOS/Du’/

2 T15,‘O 1 2+‘,

3 T45,‘O 1 2+‘,774,‘0 1 2+‘)URJTE(16,7611) (TTRIPH(1,J,l,L),J=l,3),(TTRIpH(l,J,2,L),J=l,3)’

& (TTRIPH(l,J,3,L),J=l,3)7 6 1 1 FORMAT(T4,‘pERS/ 1’,3F7.O,T34,‘PERS/ 1’,3F7.0,T63,‘pERs/ l’,

S 3F7.0)URJTE(16,7621) (TTRIPH(2,J,l,L),J=1,3),(TTRJpH(2,J,2,L),J=l,3),

& (TTRIPH(2,J,3,L),J=l,3)7 6 2 1 FORMAT(T6,‘DU .2’,3F7.O,TM,‘DU 2’,3F7.O,J65,‘DU 2’,

& 3F7.0)

DO 7641 1=3,5~JTE(~~,~~~~)I,(TTRIPH(~,J,~,L~,J=~,~),I,(TTRJ~H(J,J,~,L~,J=~,~~,

& I,(TTRtPH(I,J,3,L),J=l,3)7631 F0RMAT(T10,11,3F7.0.T40,11,3F7.0,T69,t1,3F7.0)

7641 CONTINUE

WRtTE(16,7651)7 6 5 1 FoRMT(/T16,‘SF’,T42,‘MF’,T62,‘H/M’/)

7650 CONTINUEURITE(16,TIOl)

7 7 0 1 FORMAT(T32,‘HWSING UNITS’,/1 /T12,‘AUTOS/DU’,T42,‘AUTOS/Du’,T70,’AuToS/Du’/

2 T15,‘O 1 2+‘,

3 T45,‘O 1 2+‘,T74,‘0 1 2+‘)URITE(16,7711) (THWSE(l,J,l),J=l,3),(THWsE(l,J,2),J=l,3),

& (THWSE(l,J,3),J=l,3)7 7 1 1 FoRMAT(T4,‘pERS/ 11,3F7.0,T34,‘PERS/ 1’,3F7.O,T63,‘PERs/ l’,

& 3F7.0)URtTE(16,7721) (THOUSE(2,J,l),J=l,3),(THWsE(2,J,2),J=l,3).

8 (THWSE(2,J,3),5=1,3)7 7 2 1 FORMT(T6,‘OU 2’,3F7.O,T36,‘DU 2’,3F7.0,T65,‘Du 2’,

& 3F7.0)

DO 7741 1=3,5uRtTE(16,~l)~,(THWSE(I,J,l),J=l,3),t,~THWsE~J,J,2),J=l,3),

& I,(THWSE(I,J,3),J=l,3)7 7 3 1 FottMAT(T10,11,3F7.0,J40,11,3F7.o,T69,11,3F7.0)

7741 CONTINUEc______________

7800 IF (ANYERR) T H E N~EN(~,FJLE=‘TRNPLN.ERR’,STATUS=‘NEU’,FORM=’FORHATTED’)

STOP ’ GEN M o d u l e A b n o r m a l A b o r t ’

ELSES T O P ’ GEN Module Conptete’

ENDIF

END

APPENDIX B

GEN.OUT FILE

t** tt.. t**. t * t 1 tttt .*ttt *t*** t.. . t .*tt

* l * . l **.***. l t ..*t*t

t**t* ttt ttt , . l l * tttt . t t l t * * t**

.* t ***t** * t * *t*. *

. * “““” l *.t t** t * * l *.t*t t.. l t t**t

PROO"C,,OWPROO"C,,OW TRIP RATES TRIP RATES B"B" PERWD",PERWD", AUTOS/D", DU AUTOS/D", DU TYPE,TYPE, NDND PURPOSE PURPOSE

FRC,,FRC,, MUMU 1,1, TASKTASK S,S, PPPP 7,7, (72 (72 FDRFDR TALLAHASSEE TALLAHASSEE A"DA"D JACYSOWVILLE),74,76,JACYSOWVILLE),74,76,A,,DA,,D 77 (79 77 (79 FORFOR TALLAHASSEE TALLAHASSEE AWDAWD GAINESVILLE). GAINESVILLE).

HB"HB"A"TDS,D"A"TDS,D" AUTOS/D"AUTOS/D" AUTOS/D"AUTOS/D"00 11 2+2+ DD 11 2+2+ DD 11 2+2+

PERS,PERS, 11 .4D.4D .50.50 1.051.05 PEWPEW 11 .15.15 .45.45 1.201.20 PEW,PEW, 11 .25.25 .25.25 .25.25D"D" 22 .80.80 1.101.10 2.002.00 D"D" 22 .35.35 .65.65 1.551.55 D"D" 22 .20.20 .20.20 .20.20

33 1.151.15 1.501.50 2.452.45 33 .55.55 .90.90 1.851.85 33 .15.15 .15.15 .15.1544 1.401.40 1.751.75 2.602.60 44 .80.80 1.001.00 2.052.05 44 .I0.I0 .I0.I0 .lO.lO55 1.551.55 1.901.90 2.652.65 55 1.001.00 1.101.10 2.152.15 55 .lO.lO .lO.lO .lO.lO

SFSF WFWF H/MH/M

HBSHHBSHA"TOS,D"A"TOS,D" AUTOS/D"AUTOS/D" AUTOS/D"AUTOS/D"00 11 2+2+ 00 11 2+2+ 00 11 2+2+

PERS,PERS, 11 .30.30 .BO.BO .9D.9D PEW,PEW, 11 .30.30 .50.50 .65.65 PEN,PEN, 11 .30.30 .30.30 .30.30D"D" 22 .35.35 1.051.05 1.251.25 D"D" 22 .35.35 1.251.25 1.401.40 D"D" 22 1.301.30 1.301.30 1.301.30

33 .40.40 1.201.20 1.451.45 33 .4D.4D 1.501.50 1.651.65 33 2.002.00 2.002.00 2.002.0044 .45.45 1.301.30 1.601.60 44 .45.45 1.651.65 1.851.85 44 2.502.50 2.502.50 2.502.5055 .45.45 1.301.30 1.701.70 55 .45.45 1.701.70 1.951.95 55 2.902.90 2.902.90 2.902.90

SF IIF H/M

HBSRHBSRA"TOS,D"A"TOS,D" A"TOS,O"A"TOS,O" AUTOS/D"AUTOS/D"00 11 2+2+ 00 11 2+2+ 00 ~1~1 2+2+

PERS,PERS, 11 .20.20 .65.65 .85.85 PERS,PERS, 11 .30.30 .65.65 .73.73 PEWPEW 11 .60.60 .60.60 .60.60D"D" 22 .25.25 .85.85 1.051.05 D"D" 22 .35.35 1.051.05 1.201.20 D"D" 22 1.651.65 1.651.65 1.651.65

33 .30.30 1.101.10 1.301.30 33 .40.40 1.451.45 1.651.65 33 2.702.70 2.702.70 2.702.7044 .40.40 1.351.35 1.651.65 44 .45.45 1.901.90 2.202.20 44 3.903.90 3.903.90 3.903.9055 .45.45 1.701.70 2.102.10 55 .55.55 2.652.65 3.053.05 55 5.905.90 5.905.90 5.905.90

SFSF MFMF H/WH/W

HBOHBO

AUTOS/D"AUTOS/D" AUTOS/D"AUTOS/D" AUTOS/D"AUTOS/D"00 11 2+2+ aa 11 2+2+ QQ II 2+2+

PERS,PERS, 11 .2D.2D .60.60 .70.70 PERS,PERS, 11 .25.25 .80.80 .95.95 PEN,PEN, 11 .50.50 .50.50 .50.50D"D" 22 .30.30 1.101.10 1.201.20 D"D" 22 .45.45 1.201.20 1.501.50 D"D" 22 1.201.20 1.201.20 1.201.20

33 .55.55 1.851.85 2.202.20 33 .70.70 1.601.60 2.302.30 33 2.102.10 2.102.10 2.102.1044 1.001.00 2.752.75 3.553.55 44 1.101.10 2.102.10 3.403.40 44 3.303.30 3.303.30 3.303.3055 1.601.60 3.953.95 5.355.35 55 1.701.70 3.003.00 4.654.65 55 4.404.40 4.404.40 4.404.40

DEFAULT ATTRACTION RATES

IWO EM- CCU EMP SR” E”P TOT EllP TO, OUS SC” EWR

“-R WRY .oo .OO .oo 1.80 .oo .ooH-R SHOP .oo 6 . 1 0 .oo .oo .oo .oo

H-R S/R .oo 1 . 5 0 1 . 5 0 .oo .50 .oo“-8 “ISC .oo 1 . 3 0 1 . 3 0 .oo .20 1 . 3 0

Klu H-B .oo 2 . 9 0 1 . 4 0 .oo .30 .ooTRYITALXI .oo .oo .oo .45 .30 .oo

USER -- SPEClFlED ATTRACTION RATES

IYO ERP c m EllP SR” E”P TOT EWP TOT OUS SC” E”R

H-S YORK .oo .oo .oo 1 . 8 0 .oo .ooH-S SHOP .oo 6 . 1 0 .oo .oo .oo .oo

“-R SIR .oo 1 . 5 0 1 . 5 0 .oo .50 .ooH-R WISC .oo 1 . 3 0 1 . 3 0 .oo .20 1 . 3 0

WMI H-S .oo 2 . 9 0 1 . 4 0 .oo .30 .ooTRKITAXI .oo .oo . o o .45 .30 .oo

DUELLINGDUELLING "NIT"NIT UElGHTUElGHT MATRIXMATRIX

FROllFROll MIMI 1, TASK G, PAGE 89. GIVES PERCENTAGES OF 1, TASK G, PAGE 89. GIVES PERCENTAGES OF 1.2.3.4,1.2.3.4, AYDAYD 5 5PERGGNWGUFC,,PERGGNWGUFC,, 17 17 RkNGESRkNGES OF AVERAGE OF AVERAGE PERGONS,O"PERGONS,O"

PEGS/O"PEGS/O" PERCENTAGE MAKEUP PERCENTAGE MAKEUP

0.0 -1.120.0 -1.121.13-1.371.13-1.371.38-1.621.38-1.621.63-1.871.63-1.871.88-2.121.88-2.122.13-2.372.13-2.372.38-2.622.38-2.622.63-2.872.63-2.872.88-3.122.88-3.123.13-3.373.13-3.373.38-3.623.38-3.623.63-3.873.63-3.873.88-4.123.88-4.124.13-4.374.13-4.374.38-4.624.38-4.624.63-5.994.63-5.996.00~UP6.00~UP

1 21 2 33 44 55.89.89 .ll.ll .oo.oo .oo.oo .oo.oo.76.76 .22.22 .02.02 .OO.OO .OO.OO.59.59 .34.34 .05.05 .Ol.Ol .Ol.Ol.45.45 .42.42 .07.07 .03.03 .03.03.32.32 .50.50 .09.09 .05.05 .04.04.28.28 .44.44 .13.13 .Oa.Oa .07.07.22.22 .40.40 .17.17 .ll.ll .lO.lO.18.18 .37.37 .lfl.lfl .13.13 .14.14.13.13 .34.34 .18.18 .16.16 .19.19.12.12 .29.29 .lS.lS .17.17 .24.24.08.08 .24.24 .20.20 .20.20 .28.28.05.05 .20.20 .19.19 .23.23 .33.33.04.04 .16.16 .17.17 .24.24 .39.39.02.02 .I5.I5 .14.14 .21.21 .48.48.O,.O, .15.15 .13.13 .17.17 .54.54.oo.oo .05.05 .07.07 .14.14 .74.74.OO.OO .OO.OO .02.02 .05.05 .93.93

2oRE OESCR. P/A TRIPS “Bux HRS”% “BSRX “BOX WHBX TOTEWP CmERP SERE”P SCHEYR 0”

5 5 CMlCEWTRATlonCMlCEWTRATlon OF OF AA ++ 10101010 0100 0 0 00100 0 0 0 00 00 00 00 0066 lOO-200KSPFTlOO-200KSPFT SH. SH. A TA T 83968396 5 80 5 0 10 5 80 5 0 10 700700 500 30500 30 00 00

2ouE I-E mm-l.

16 11000.11000.

1717 2600.2600.

1818 3200.3200.

1919 3800.3800.

2020 2400.2400.

2121 17000.17000.

2222 1800.1800.

2323 2000.2000.

2424 1700.1700.

PRm”CTloNS AN0 *TTRACTIONS BY ZONE

SCTR ZONE UK-P SHP-P SR-P MIS-P NHB-P TT-P IE-P TOT-P WC-* SHP-A SR-A NIS-A NHB-A TT-A IE-A TOT-A

1 11 82718271 97039703 1149611496 1493014930 1900319003 30643064 00 6846768467 1032310323 1713117131 1,8861,886 1648016480 1900319003 30643064 2403624036 10392310392312 012 0 0 00

2 3 2 3 901901 903903 aa6

2 42 4 291291 261261 246246

2 32 3 717717 727727 715715

22 6 7446 744 a48a48 863863

33 7 aw7 aw 963963 10881088

33 a 1694a 1694 13231323 ,409,409

33 9 13739 1373 13791379 12581258

44 10 401010 4010 39633963 39233923

44 11 262311 2623 25712571 23232323

55 12 12 10781078 934934 876876

33 1313 1603 1603 14801480 1399139955 14 14 1818 1616 1313

55 13 013 0 00 00

16 016 0 00 00

17 017 0 00 00

la 0la 0 00 00

19 019 0 00 00

20 020 0 00 00

21 021 0 00 00

22 022 0 00 00

23 023 0 00 00

24 024 0 00 00

0 11391139 33133111711171 438438 311311342342 319319 164164940940 783783 314314

10831083 17511751 51851815941594 23032303 1221122118641864 a23a23 SWSW16761676 11311131 704704

32873287 27402740 la41la4111721172 431431 386386lasolaso 323323 498498

1717 2828 202000 1111 7700 00 0000 00 0000 00 0000 00 0000 00 0000 00 0000 00 0000 00 0000 00 00

0

00000000000

00000

00000

0011000110002600260032003200

24002400

17000170001800180020002000,700,700

14901490 11471147 901 724901 724 10731073 11391139 331331 13631363 6900690046124612 140140 145145 521521 604604 438438 311311 331331 2710271018231823 281281 434434 336336 486486 519519 164164 660660 2900290041964196 339339 10871087 625625 789789 783783 314314 12431243 3180318038073807 13291329 33833383 13491349 12381238 17511751 518518 33933393 131631316380708070 34343434 744744 20822082 30003000 23032303 12211221 33763376 161601616079127912 490490 203203 985985 12031203 a23a23 399399 10841084 3389338977437743 980980 406406 11931193 13231323 11311131 704704 13361336 75177517

2034820348 16381638 264264 23682368 30313031 20332033 16011601 27662766 13921139211338713387 38203820 400400 29762976 39113911 27402740 la41la41 39813981 196691966948974897 276276 00 605605 661661 431431 386386 367367 2926292673537353 131131 00 780780 a47a47 323323 498498 661661 34603460112112 5050 00 3131 5252 2828 2020 4444 2252251818 2525 00 1111 1717 1111 77 lala a9a9

1100011000 00 00 00 00 00 00 00 0026002600 00 00 00 00 00 00 00 0032003200 00 00 00 00 00 00 00 0038003800 00 00 00 00 00 00 00 0024002400 00 00 00 00 00 00 00 001700017000 00 00 00 00 00 00 00 00la00la00 00 00 00 00 00 00 00 00

20002000 00 00 00 00 00 00 00 0017001700 00 00 00 00 00 00 00 00

__------------ --ADJUSTED TOTAL 24424ADJUSTED TOTAL 24424 2669626696 3371633716 4330043300 2442424424 2669626696 3371633716 4330043300

2529625296 3492134921 $3579$3579 204132204132 2329623296 3492134921 1357913579 204132204132

""AOJUSTEO""AOJUSTEO TOTALS TOTALS 2816328163 28413284133018230182 2170121701

PERCENTAGESPERCENTAGES 12%12% 12%12% 13% 17% 17% 7%13% 17% 17% 7% 22%22%

“t** .t.** tt* **t** ****t l *** *ttt* l **** **** *tt*

t *et. ** * tt *

ttt t tttt. l l **t * t * t*t

et*** t .* ** t

ttt* ” t . l ttttt tt.. l l *““* l .*t .tt,

TOTAL PERIUWENT PowLATlou 51560

TOTAL PcwLATIDN (PERMAYEIIT + TRANSIENT) 56622

TOTAL PERMANENTLY OCCUPIED DWELLING UNITS 19290

TOTAL ccC”PlED (PERMAYEWT + TRANSIENT) DyELLlWC “NlTS

TOTAL SERVICE EMPLDY,,EllT

21790

435 1

TOTAL EMPLDYIIE”T 16113

PERMAMW, POPULATID” PER PERMANENTLY OCC”PlED DUELLIYS “WIT 2 . 6 7

TOTAL PWULATlMl PER TOTAL OCCUPIED WELLING UNIT 2 . 6 0

TOTAL EWPLDYKWT PER PERMANENT PDWLATlDR .31

SERVICE TO TOTAL EWPLDWEWT .27

T O T A L “ W E - B A S E D PRCOUCTlMlS (PERSDR TRIP ENDS) 111339

T O T A L “ W E - B A S E D ATTRACTIDRS (PERSOW TRIP ENDS) 111339

204134

TOTAL ATTRACTIDNS 204134

INTERNAL PERSMl TRIPS PER PERMANENTLY OCCUPIED DWELLING “WI, a . 2 2

lWTERWAL PERSD,, TRIPS PER TOTAL OCCUPIED DUELLlNG “NIT 7 . 2 8

INTERNAL PERSOW TRIPS PER EMPLOYEE 9 . 8 5

PLEASE NOTE T”AT ALL TRlP PURPOSES ARE PERSOW TRIPS EXCEPT TRUCK-TAXI Am ,E TRIPSTHEY HAVE SEEN AWED TOGETHER IS THE STATiSTlCS ASOVE AND T”,S IS PROBABLY “ISLEADINCHMVER THE YEK, BEST ALTERNATIVE IS TO CONVERT TRUCKTAXI TO PERSON TRIPS BY MULTIPLYING BY SWE ARBITRARY FACTOR

WHICH I S PROSABLY WRSE

“ORE AND SETTER STATISTICS ASCUT THE ZDATAl AND 2DAT2 FILES ARE AVAILASLE I” WE LUCHECK PROGRAM- RUW IT

A”TOS,D”

00 11PEW, 11 184.184. 782.782.

D"D" 22 577.577. 2730.2730.33 167.167. 787.787.44 120.120. 570.570.55 135.135. 725.725.

SF

AUTOSIDUAUTOSIDU00 11

PERS,PERS, tt 138.138. 1251.1251.ouou 22 253.253. 2606.2606.

33 58.58. 629.629.44 39.39. 423.423.55 39.39. 496.496.

SFSF

AUTOSIDUAUTOSIDU00 11

PEAS,PEAS, 11 92.92. 1017.1017.DUDU 22 180.180. 2109.2109.

33 44.44. 577.577.44 34.34. 439.439.55 39.39. 649.649.

SFSF

AUToS,OUAUToS,OU00 11

PEWPEW 11 92.92. 939.939.ouou 22 216.216. 2730.2730.

33 80.80. 970.970.44 86.86. 895.895.55 140.140. 1507.1507.

SF

AUTOSIOUAUTOSIOU AUTOWDUAUTOWDU AUTOS,DUAUTOS,DU

00 11 2+2+ 00 11 2+2+ 00

PERS,PERS, 11 459.459. 1564.1564. 595.595. PEWPEW 1 170.170. 1144.1144. 696.696. PEAS/PEAS/ 1 1 0.0.

ouou 22 722.722. 2482.2482. 961.961. DUDU 22 354.354. 2353.2353. 1402.1402. DU2DU2 0.0.

33 145.145. 524.524. 222.222. 33 200.200. 1297.1297. 745.745. 33 0.0.

44 86.86. 326.326. 148.148. 44 172.172. 1092.1092. 608.608. 44 0.0.

55 87.87. 382.382. 191.191. 55 215.215. 1347.1347. 730.730. 55 0.0.

HOllEHOllE BASED BASED TRIPSTRIPS"BY"BY

AUTOS/OUAUTOS/OU AUTOSIOUAUTOSIOU2+2+ 00 11 2+2+ 00

625.625. PERS,PERS, 11 26.26. 515.515. 836.836. PERS,PERS, 1 1 0.0.1923.1923. D"D" 22 124.124. 1529.1529. 2173.2173. DU2DU2 0.0.544.544. 33 110.110. 1168.1168. 1378.1378. 33 0.0.385.385. 4 137.137. 1092.1092. 1247.1247. 44 0.0.505.505. 55 215.215. 1482.1482. 1570.1570. 55 0.0.

IIFIIF H/MH/M

HfflEHfflE BASED BASED TRlPSTRlPSHBSHHBSH

AUTOS/OUAUTOS/OU AUT0S,0UAUT0S,0U2+2+ 00 11 2+2+ 00

536.536. PEW,PEW, 11 51.51. 572,572, 453.453. PEAS,PEAS, 1 1 0.0.1202.1202. ouou 22 124.124. 2941.2941. 1963.1963. ou2ou2 0.0.322.322. 33 a0.a0. 1946.1946. 1229.1229. 33 0.0.237.237. 44 77.77. 1802.1802. 1125.1125. 44 0.0.324.324. 55 97.97. 2290.2290. 1424.1424. 55 0.0.

"WE"WE BASED BASED TRIPSTRIPSHSSRHSSR

AUT0S,0UAUT0S,0U AUTOS,OUAUTOS,OU2+2+ 00 11 2+2+ 00

506.506. PEN,PEN, 11 51.51. 744.744. 522.522. PEAS, 1PEAS, 1 0.0.1009.1009. DUDU 22 124.124. 2470.2470. 1683.1683. DU2DU2 0.0.289.289. 33 80.80. 1881.1881. 1229.1229. 33 0.0.244.244. 44 77.77. 2075.2075. 1338.1338. 44 0.0.400.400. 55 lla.lla. 3570.3570. 2227.2227. 55 0.0.

MFMF H/MH/M

"WE "WE BASEDBASED TRIPSTRIPSHa0Ha0

AUTOSIDUAUTOSIDU AUTOSIDUAUTOSIDU2+2+ 00 11 2+2+ 00

417.417. PEW,PEW, 11 43.43. 915.915. Ml.Ml. PEW 1PEW 1 0.0.1154.1154. DUDU 22 160.160. 2823.2823. 2103.2103. ou2ou2 0.0.488.488. 33 140.140. 2076.2076. 1713.1713. 33 0.0.525.525. 44 189.189. 2293.2293. 2068.2068. 44 0.0.

1019.1019. 55 36-6.36-6. 4042.4042. 3395.3395. 55 0.0.

MFMF H,MH,M

“(USING UNITS

11 2+2+19.19. 0.0.29.29. 0.0.10.10. 0.0.4.4. 0.0.4.4. 0.0.

11 2+2+23.23. 0.0.

187.187. 0.0.129.129. 0.0.109.109. 0.0.124.124. 0.0.

11 2+2+45.45. 0.0.

237.237. 0.0.174.174. 0.0.170.170. 0.0.253.253. 0.0.

11 2+2+38.38. 0.0.

172.172. 0.0.135.135. 0.0.144.144. 0.0.189.189. 0.0.

1175.

144.144.64.64.44.44.43.43.

2+2+0.0.0.0.0.0.0.0.0.0.

APPENDIX C

Definitions of ZDATA Variables

ZDATA1.yya -- This file contains trip production socioeconomic data listed by traffic analysis zone

for input to the FSUTMS GEN module.

RECORD TYPE - Identifies the data input as ZDATA1, 2, 3 or 4 by the numbers 1, 2, 3 or 4. For

ZDATA1, the RECORD TYPE is represented by the integer “1” entered in column 1.

SECTORS - Group of zones sometimes representing a planning district or specific political

jurisdictions. SECTORS are integers right-justified in columns 2-4.

ZONES - Geographical areas, intended to be relatively homogeneous in land use or activity, that

make up a study area. The representative point of a zone is its centroid. Zones are thought of as

the basic geographical units of the sources of travel demand. ZONES are integers right-justified

in columns 5-8.

TOTAL SINGLE-FAMILY DWELLING UNITS. All year round housing units whether

occupied or vacant excluding seasonal housing units and migratory labor housing units unless

occupied, made up of living quarters for only one household detached from any other house,

excluding mobile homes and trailers. A housing unit is defined as a house, an apartment, a group

of rooms, or a single room occupied or intended for occupancy as separate living quarters, in

which the occupants do not live and eat with any other persons in the structure, and which have

either complete kitchen facilities for the exclusive use of the occupants or direct access either

from the outside of the building or through a common hall. TOTAL SINGLE-FAMILY

DWELLING UNITS are integers right-justified in columns 9-13.

PERCENT SINGLE-FAMILY DWELLING UNITS VACANT OR NOT OCCUPIED BY

PERMANENT RESIDENTS - Percentage of single-family dwelling units as described above,

that are vacant or are occupied by seasonal residents who regularly reside in a permanent

residence elsewhere. PERCENT SINGLE-FAMILY DWELLING UNITS VACANT OR NOT

OCCUPIED BY PERMANENT RESIDENTS are integers right-justified in columns 14-16.

PERCENT SINGLE-FAMILY DWELLING UNITS VACANT - Percentage of single-family

dwelling units described above that are actually vacant during the peak season of the year.

PERCENT SINGLE-FAMILY DWELLING UNITS VACANT are integers right-justified in

columns 17-19.

POPULATION IN SINGLE-FAMILY UNITS - All persons of all ages including boarders in

regular residence, living in single-family dwelling units as described above but excluding all

persons who regularly reside elsewhere. Guests of permanent residents and guests of seasonal

residents elude accounting. Family members whose legal residence may be at this location but

who regularly reside elsewhere (e.g., college students) are excluded. POPULATION IN SINGLE-

FAMILY UNITS are integers right-justified in columns 20-24.

PERCENT SINGLE-FAMILY DWELLING UNITS WITH 0 AUTOS AVAILABLE -

Percentage of households in single-family dwelling units occupied by permanent residents having

no vehicles (automobiles, vans or trucks not exceeding 1-ton capacity whether leased or owned;

company vehicle and private vehicles) ordinarily in running condition which are kept at home for

use for non-commercial purposes by persons in the household. PERCENT SINGLE-FAMILY

DWELLING UNITS WITH 0 AUTOS AVAILABLE are integers right-justified in columns 25-

27.

PERCENT SINGLE-FAMILY DWELLING UNITS WITH 1 AUTO AVAILABLE - Percentage

of households in single-family dwelling units occupied by permanent residents having one

vehicle (automobile, van or truck not exceeding 1-ton capacity whether leased or owned;

company vehicle and private vehicle) ordinarily in running condition which is kept at home for

use for non-commercial purposes by persons in the household. PERCENT SINGLE-FAMILY

DWELLING UNITS WITH 1 AUTO AVAILABLE are integers right-justified in columns 28-30.

PERCENT SINGLE-FAMILY DWELLING UNITS WITH 2 + AUTOS AVAILABLE -

Percentage of households in single-family dwelling units occupied by permanent residents having

two or more vehicles (automobiles, vans or trucks not exceeding 1 -ton capacity whether leased

or owned; company vehicles and private vehicles) ordinarily in running condition which are kept

at home for use for non-commercial purposes by persons in the household. PERCENT SINGLE-

FAMILY DWELLING UNITS WITH 2 + AUTOS AVAILABLE are integers right-justified in

columns 31-33.

MULTI-FAMILY DWELLING UNITS - All year-round housing units whether occupied or

vacant including occupied seasonal housing units and occupied migratory labor housing units,

made up of one-family houses attached to one or more houses and buildings constructed for

occupancy by two or more families (e.g., duplexes, apartments, townhouses, rowhouses,

condominiums, and boarding and rooming houses of less than 10 unrelated occupants), and all

occupied residential mobile homes or trailers. MULTI-FAMILY DWELLING UNITS are

integers right-justified in columns 34-38.

PERCENT MULTI-FAMILY DWELLING UNITS VACANT OR NOT OCCUPIED BY

PERMANENT RESIDENTS - Percentage of multi-family dwelling units as described above that

are vacant or are occupied by seasonal residents who regularly reside in a permanent residence

elsewhere. PERCENT MULTI-FAMILY DWELLING UNITS VACANT OR NOT OCCUPIED

BY PERMANENT RESIDENTS are integers right-justified in columns 39-41.

PERCENT MULTI-FAMILY DWELLING UNITS VACANT - Percentage of multi-family

dwelling units as described above that are actually vacant during the peak season of the year.

PERCENT MULTI-FAMILY DWELLING UNITS VACANT are integers right-justified in

columns 42-44.

POPULATION IN MULTI-FAMILY DWELLING UNITS - All persons of all ages including

boarders in regular residence living in multi-family dwelling units as described above but

excluding all persons who regularly reside elsewhere. POPULATION IN MULTI-FAMILY

DWELLING UNITS are integers right-justified in columns 45-49.

PERCENT MULTI-FAMILY DWELLING UNITS WITH 0 AUTOS AVAILABLE -Percentage

of households in multi-family dwelling units occupied by permanent residents having no vehicles

(automobiles, vans or trucks not exceeding 1-ton capacity whether leased or owned; company

vehicles and private vehicles) ordinarily in running condition which are kept at home for use for

non-commercial purposes by persons in the household. PERCENT MULTI-FAMILY

DWELLING UNITS WITH 0 AUTOS AVAILABLE are integers right-justified in columns 50-

52.

PERCENT MULTI-FAMILY DWELLING UNITS WITH 1 AUTO AVAILABLE - Percentage

of households in multi-family dwelling units occupied by permanent residents having one vehicle

(automobiles, vans or trucks not exceeding 1-ton capacity whether leased or owned; company

vehicles and private vehicles) ordinarily in running condition which is kept at home for use for

non-commercial purposes by persons in the household. PERCENT MULTI-FAMILY

DWELLING UNITS WITH 1 AUTO AVAILABLE are integers right-justified in columns 53-55.

PERCENT MULTI-FAMILY DWELLING UNITS WITH 2 + AUTOS AVAILABLE -

Percentage of households in multi-family dwelling units occupied by permanent residents having

one or more vehicles (automobiles, vans or trucks not exceeding 1 -ton capacity whether leased

or owned; company vehicles and private vehicles) ordinarily in running condition which are kept

at home for use for non-commercial purposes by persons in the household. PERCENT MULTI-

FAMILY DWELLING UNITS WITH 2 + AUTOS AVAILABLE are integers right-justified in

columns 56-58.

TOTAL HOTEL-MOTEL (TRANSIENT) UNITS - All hotel and motel units whether occupied

or vacant; each room/suite with sleeping accommodations is counted as one unit. TOTAL

HOTEL-MOTEL (TRANSIENT) UNITS are integers right-justified in columns 59-63.

PERCENT HOTEL-MOTEL UNITS OCCUPIED - Percentage of all hotel and motel units as

described above which are occupied on a typical peak season day regardless if occupants are

seasonal guests or permanent residents. PERCENT HOTEL-MOTEL UNITS OCCUPIED are


TOTAL POPULATION IN HOTEL-MOTEL UNITS - Average zonal hotel/motel occupants in

occupied units during the peak season derived by dividing the total number of occupants by the

total number of occupied units. TOTAL POPULATION IN HOTEL-MOTEL UNITS are


ZDATA2.yya -- This file contains trip attraction socioeconomic data listed by traffic analysis zone

for input to the FSUTMS GEN module.

RECORD TYPE - Identifies the data input as ZDATA1, 2, 3 or 4 by the numbers 1, 2, 3 or

4. For ZDATA2, the RECORD TYPE is represented by the integer “2” entered in column

1.



ZONES - Geographical areas, intended to be relatively homogeneous in land use or activity,

that make up a study area. The representative point of a zone is its centroid. Zones are

thought of as the basic geographical units of the sources of travel demand. ZONES are


INDUSTRIAL EMPLOYMENT - All full-time and regular part-time employees, and self-

employed persons by job location, whose job is in an industry classified in Standard

Industrial Classification (SIC) categories 01 to 39 (i.e., agriculture, forestry, fisheries,

mining, contract construction, and manufacturing). SIC is defined in the Standard Industrial

Classification Manual: 1972, Office of Federal Statistical Policy and Standards, U.S.

Department of Commerce, Washington, DC, GPO-SN 4101-0066 (1977 Supplement, SN

003-005-00176-0). INDUSTRIAL EMPLOYMENT are integers right-justified in columns

9-14.

COMMERCIAL EMPLOYMENT - All full-time and regular part-time employees, and self-

employed persons, by job location, whose job is in an industry classified in SIC categories

50 to 59 (i.e., retail trade and wholesale trade since both are commonly located in areas

zoned for commercial land use activities). COMMERCIAL EMPLOYMENT are integers

right-justified in columns 15-20.

SERVICE EMPLOYMENT - All full-time and regular part-time employees, and self-

employed persons, by job location, whose job is in an industry classified in SIC categories

40 to 49 and 60 to 93 (i.e., transportation, communication and utilities services; finance,

insurance and real estate services; selected personal services; tourism and recreational

services, health and educational services; government services). SERVICE EMPLOYMENT

are integers right-justified in columns 21-26.

TOTAL EMPLOYMENT - The total of industrial, commercial and service employment.

TOTAL EMPLOYMENT are integers right-justified in columns 27-32.

SCHOOL ENROLLMENT - All students enrolled full-time and part-time in all public and

private schools (except nursery and day schools), by school location, including kindergartens,

elementary schools, junior and senior high schools, community colleges, colleges and

universities with enrollments under 2,000. (Colleges and universities with enrollments of

2,000 and more are treated separately as special traffic generators in the ZDATA3 file).

SCHOOL ENROLLMENT are integers right-justified in columns 33-38.

SHORT TERM PARKING - Parking cost for less than 3 hours. Cost is expressed in dollars

and cents with an implied decimal. SHORT TERM PARKING is an integer right-justified

in columns 39-42.

LONG TERM PARKING - Parking cost for more than 3 hours. Cost is expressed in dollars

and cents with an implied decimal. LONG TERM PARKING is an integer right-justified in

columns 43-46.

ZDATA3.yya -- This file contains special generator data listed by traffic analysis zone for input to

the FSUTMS GEN module.



1.



ZONES - Geographical areas, intended to be relatively homogeneous in land use or activity,

that make up a study area. The representative point of a zone is its centroid. Zones are

thought of as the basic geographical units of the sources of travel demand. ZONES are


GENERATION CODE (PRODUCTION OR ATTRACTION) - A trip production is the

home end of a home-based trip or the origin of a nonhome-based trip. Conversely, a trip

attraction is the nonhome end of a home-based trip or the destination of a nonhome-based

trip. If the special generator generates productions, code a 'P'. If it generates attractions,

code an 'A'. ('A' is by far the most common.) This is coded in column 9.

FUNCTION CODE (MEANING OF TRIPS CODED) - For attraction special generators,

code 'T' if the figure in columns 11-16 represents the total person-trips attracted to the special

generator. Code '+' or '-' if the figure in columns 11-16 represents the additional or fewer

person-trips attracted to the special generator (i.e., in addition to or subtracted from the

number included in the standard equation calculation). For production special generators,

the 'T' option is not available. Code '+' if the person-trips in columns 11-16 are additional

productions; code '-' if they are fewer. This is coded in column 10.

TOTAL TRIPS OR DIFFERENCE IN TRIPS - For an attraction special generator ('A' in

column 9), code total person-trip attractions for that special generator if a 'T' was coded in

column 10. For a production special generator ('P' in column 9), code the increase or

decrease in total person-trip productions for that special generator. A '+' or a '-' must have

been coded in column 10. Documentation (i.e., in a Technical Report) is required to explain

how trips are obtained. This is right-justified in columns 11-16.

PERCENT OF TRIPS BY PURPOSE - Code the percentages of the special generator trips

from columns 11-16 for each of the five purposes shown. Usually a special generator will

have a major trip purpose, as shown in the table of recommended special generator rates, but

it may also have other purposes. One or more of the percentages may be 0%, but together

they must total 100%. If the split of trips is unknown, care should be taken when coding

anything other than 100% for the major trip purpose. Documentation is required. HBW

percentage coded in columns 17-19. HBSH percentage coded in columns 20-22. HBSR

percentage coded in columns 23-25. HBO percentage coded in columns 26-28. NHB

percentage coded in columns 29-31.

NECESSARY VARIABLES IF TOTAL TRIPS CODED - If a 'T' was coded in column 10

and total trips attracted to the special generator was coded in columns 11-16, certain data

about the special generator are necessary in order to remove, from the zonal totals, the

attractions already calculated for the special generator by the standard equations. The

definitions of these variables are the same as on the ZDATA1 and ZDATA2 records (total

dwelling units is the sum of single-family, multi-family, and transient units), but the amounts

coded should only be what pertains to the special generator, not to the whole zone as on the

ZDATA1 and ZDATA2 cards. For instance, a shopping center probably would not have any

school enrollment, so 'zero' would be coded in columns 47-51 on the ZDATA3 card, even

though a zonal total school enrollment reported on the ZDATA2 record might be greater than

zero. Total employment is coded in columns 32-36. Commercial employment is coded

in columns 37-41. Service employment is coded in columns 42-46. School enrollment is

coded in columns 47-51. Total Dwelling Units is coded in columns 52-56.

NAME AND/OR DESCRIPTOR - This area of the coding sheet is free form. The name of

the special generator should be coded so it can be identified later. This is coded in columns

57-80.

ZDATA4.yya -- This file contains internal-external trip productions listed by external zone for input

to the FSUTMS GEN module.



1.



ZONES - External zones are entry and exit points along a study area cordon line representing

the boundary of an urban transportation model network. ZONES are integers right-justified

in columns 5-8.

INTERNAL-EXTERNAL TRIP PRODUCTIONS - Internal-External (IE) trip productions

are one-direction movements which have one terminus inside and one terminus outside the

model study area (represented by external zones along the study area cordon line). In reality,

IE trip productions may originate at either an external or internal zone; however, when using

FSUTMS, IE productions are always listed at the external zone (in other words, the IE

productions field includes EI productions as well). While not recommended, this field may

alternately be used to represent a percent of total trips allocated to the zone listed in the

ZONES field, for the purposes of zone splitting. IE TRIP PRODUCTIONS are integers right-

justified in columns 9-14.

NEW ZONES - When splitting zones (not recommended), this field indicates the new zone

number which will receive a percentage of the trips calculated for the zone listed in the

ZONES field. NEW ZONES are integers right-justified in columns 15-18.

PERCENT OF NEW ZONES - When splitting zones (not recommended), this field

represents a percent of total trips allocated to the zone coded in the NEW ZONES field.

PERCENT OF NEW ZONES are integers right-justified in columns 19-21.

APPENDIX D

Sample LUCHECK Output Files

CHECK ADDITION ON EMPLOYMENT - ZONE 1SUM OF SF AUTO % GT 1 ZONE 1% "AC GT THAN % VAC AND NONPERM ZONE 1

STUDY: FTOWN YEAR: VOA

RATIO ANALYSIS SUMMARY ADJUSTED FOR VACANCIES

LIMITS SF MF TOTRES TRANSIENTLOW HIGH LOW HIGH LOW HIGH LOW HIGH

POP/DU 1.00 5.00 1.00 2.50 1.00 3.50 1.00 2.50AUT/DU 1.00 2.25 1.00 2.25 1.00 2.20 N/A N/A

ZONE

1

:4

:

:,9

::12131415

SINGLE FAMILY MULTI FAMILY TOTAL P.ES TRANSIENTPOP/DU AUTO/DU POP/DU AUTO/DU POP/DU AUTO/DU POP/DU3.05 1.73 3.41 HIGH 1.50 3.36 1.53 2.52 HIGH.oo .oo

2.22 1.36 2:::-00 00 .oo .oo

1.50 2:30 1.44 .oo2.22 1.36 2.37 1.50 2.27 1.41 .oo2.22 1.36 2.36 1.50 2.31 1.452.23 1.36 2.36 1.50 2.34 1.48 ?I:**** HIGH 1.50 2.39 1.50 5.85 HIGH 1.50 2.78 HIGH1.88 1.50 2.39 1.50 2.00 1.50 .oo1.88 1.50 2.39 1.50 1.97 1.50 .oo1.97 1.36 2.60 HIGH 1.67 2.23 1.50 2.87 HIGH1.97 1.36 2.60 HIGH 1.67 2.29 1.53 .oo1.88 1.36 2.50 1.67 2.01 1.43 .oo1.88 1.36 2.50 HIGH 1.67 2.08 1.47 .oo1.81 1.36 .oo 1.81 1.36.oo .oo .oo .oo .oo

STUDY: FTOWN YEAR: 90A

SECTOR TOTALS FOR THE ZDATAl RECORDS

+ SINGLE FAMILY + MULTI FAMILY + HOTEL MOTEL+TOTAL OCC TOTAL occ

SEC DUS DUS POP AUTOS DUS DUS POP AUTOS UNITS OCCUP

1 774 73s. 224s 1154.2 93s 842. 1871 905.3 2469 2222. 6539 3000.4 3365 3028. 5968 3256.5 1819 1637. 3073 1760.

STUDY: FTOWN

RATIO ANALYSIS SUMMARY ADJUSTED

735 625. 1562 981. 0. 0

YEAR: 90A

FOR VACANCIES

LIMITS SF MF TOTRES TRANSIENTLow HIGH LOW HIGH LOW HIGH LOW HIGH

POP /DU 1.00 5.00 1.00 2.50 1.00 3.50 1.00 2.50AUT/DU 1.00 2.2s 1.00 2.25 1.00 2.20 N/A N/A

6188 5260. 17920 7101. 222. 5601764 1499. 3540 2024. 01230 1045. 2501 1411. 3:: 1002865 2435. 6341 3823. 112. 320

SECT SINGLE FAMILY MULTI FAMILY TOTAL RES TRANSIENTPOPjDU AUTO/DU POP/DU AUTO/DU POP/DU AUTO/DU POP/DU

1 3.05 1.73 3.41 HIGH 1.50 3.36 1.53 2.52 HIGH2 2.22 1.36 2.36 1.50 2.31 1.45 .oo3 2.34 1.50 2.33 1.50 2.77 1.50 2.78 HIGH4 1.97 1.36 2.60 HIGH 1.67 2.25 1.51 2.87 HIGH5 1.88 1.36 2.50 HIGH 1.67 2.05 1.46 .oo

STUDY: FTOWN YEAR: 9OA

SECTOR TOTALS FOR THE ZDATAZ RECORDS

** EMPLOYMENT ****SCHOOL****INDUSTRIALCOMMERCIAL SERVICE TOTAL ENROLLMENT

SECTOR

: 431 751 5864 940 434 763 7348 1805 231 634

3 1351 440 1351 3142 3794 1639 216 1641 3496 5035 160 0 162 322 199


PLAYBACK OF THE ZDATAl ( PRODUCTION ) RECORDS

ZONE

+ SINGLE FAMILY +% % %-O%-1%2+

"ACVAC AUTAUTAUTDUS NP FOP DU DU DU

774 5 10 2245 9 52 42010 5 0 6 52 42

374 10 5 748 21 60 19187 10 5 374 21 60 19281 10 5 562 21 60 1993 10 5 187 21 60 19154 10 5 2616 10 60 30

1158 10 5 1962 10 60 301157 10 5 1961 10 60 302187 10 5 3879 21 60 191178 10 5 2089 21 60 19800 10 5 1352 21 60 191000 10 5 1690 21 60 19

19 10 5 31 21 60 19010 5 0 21 60 19

STUDY: FTOWN

FL” FAM1LY +p. R-0%-1%2+HOTEL MOTEL+

%occ

UNIT POPvicvic AUTAUTAUT

DUS NP POP DU DU DU

6188 15 2 17920 10 60 30 247 90 560015 2 0 10 60 30 0 90 0

529 15 2 1062 10 60 30 090 088 15 2 177 10 60 30 0 90 0

441 15 2 885 10 60 30 0 90706 15 2 1416 10 60 30 0 90 :615 15 2 1251 10 60 30 40 90 100369 15 2 750 10 60 30 0 90 0246 15 2 500 10 60 30 0 90 01576 15 2 3488 6 52 42 124 90 3201289 15 2 2853 6 52 42 0 90 0221 15 2 469 6 52 42 0 90 0514 15 2 1093 6 52 42 0 90 0015 2 0 6 52 42 0 90 0

0 90 00 1 5 2 0 6 52 42

YEAR: 90A

FREQUENCY OF PERCENTAGES USED FORSINGLE FAMILY DWELLING UNITS

+ % VACANCY + % AUTOS PER HOUSEHOLD ++ VAC+NP + VACANT + ZERO ONE + TWO PLUS +

% COUNT FREQ COUNT FREQ COUNT FREQ+COUNT FREQ COUNT FREQ

10

::30425260

1 6.67 14 93.33 0 0 00 00 6.67 0 93.33 1 6::: 0 :oo0 6.67 0 93.33 1 13.33 00

14100.00 1100.00 3 33.33 : :oo

: :::00

0 :oo0100.00 0100.00 0 33.33 0 .oo 10 66.670100.00 0100.00 10100.00 0 .oo 0 66.670100.00 0100.00 0100.00 0 .oo 3 86.670100.00 0100.00 0100.00 0 .oo 2100.000100.00 0100.00 0100.00 2 13.33 0100.000100.00 0100.00 0100.00 13100.00 0100.00


FREQUENCY OF PERCENTAGES USED FORMULTI FAMILY DWELLING UNITS & HOTEL-MOTELS

+ % VACANCY + % AUTOS PER HOUSEHOLD +HOTEL MOTEL++ VAC+NP VACANT +

% COUNT FREQ+COUNTZERO ONE

FREQ+COUNT+ TWO PLUS + OCCUPANCY +

FREQ COUNT FREQ COUNT FREQ COUNT FREQ

2 0 .oo 15100.00 0 .oo 0 .oo 0 .oo 0 .oo6 0 00

0 :oo0100.00 6 40.00 0 .oo 0 .oo 0 .oo

10 0100.00 9100.00 0 .oo 0 .oo 0 .oo15 15100.00 0100.00 0100.00 0 .oo 0

9 60:::0 .oo

30 0100.00 0100.00 0100.00).

0 00 0 0042 0100.00 0100.00 0100.00 0 :oo 6100.00 0 :oo52 0100.00 0100.00 0100.00 6 40.00 0100.00 0 .oo60 0100.00 0100.00 0100.00 9100.00 0100.00 0 .oo90 0100.00 0100.00 0100.00 0100.00 0100.00 15100.00

YEAR: 90A

ZDATAZ ( ATTRACTION ) RECORDS

EMPLOYMENTCOMMER SERVICE TOTAL+EN:::~N;

STUDY: FTOWN

PLAYBACK OF THE

+INDUST

ZONE

:530221

3 214 19

214

3771 9798 1249 248

10 48111 115812 8813 4814 1615 8

STUDY: FTOWN

SUMMARY OF AREA

* POPULATION 19696 31864 51560 980

* DWELLING "NITS- NO AUTOS- AUTO AVAIL- TOTAL

1445. 964. 2409. N/A7020. 9901. 16920. N/A8464. 10865. 19329. 370.

AVAILABLE D"S 9362 12782 22144 411% VACANCY 9.59 15.00 12.71 10.00

HIPOP/DU AVG

LO

* AUTO OWNERSHIP

18.87 3.41 5.85 2.872.33 2.93 2.67 2.651.81 2.36 1.81 2.52

10074. 15340. 25415. 370.

AUTOS/DU AtiLO

* SCHOOL ENROLL- ENROLL/DU

557129347

14118856424266

13286

13000

:

542 6613221 735222015 217 63

377 1318 58979 2200124 314 1::248 628 133482 1049 302

1159 2447 201

:z177 7097 123

lb 32 68 16 0

YEAR: 90A

WIDE STATISTICS AND AVERAGES

SF MF TOTAL

INCOMe +PAREIN COST+SHORT LONG

TERM TERM

HOT / MOT

1.73 1.67 1.53 1.001.44 1.55 1.50 1.001.36 1.50 1.36 1.00

N/A N/A 2006N/A

N/AN/A .lO N/A

10 15010 1505 505 505 50: 50

0 ii0 00 000 :

: :0 0

NOTE:1. ALL RATIOS USING DWELLING UNITS ARE SHOWN A8 OCCUPIED DUS.2. THE COLUMN DEFINED AS TOTAL INCLUDES SF AND MF CATEGORIES ONLY.

INDUST COMMER SERVICE TOTAL

* EMPLOYMENT 4332 7460 4351 16113

% OF TOTAL 26.89 46.30 27.00 100.00

EMPLOYMENT/DU N/A N/A N/AHOTMOT DU/EMPL N/A N/A N/A

NOTE:

1. ALL RATIOS USING DWELLING UNITS ARE SHOWN AS D"S AVAILABLE.

APPENDIX E

Updated Trip Production Rates

Number of Persons in HouseholdNumber ofDwelling Number of Persons in Household Number ofDwelling 5+4321Autos Avail.Unit Type5+4321Autos Avail.Unit Type

0.350.350.310.270.2301.060.960.790.550.270

Single- Single-

1.001.000.930.810.4811.301.200.880.770.431

Family Family

1.601.231.140.960.692+2.201.901.531.280.722+

0.500.500.440.390.3300.670.540.370.240.100

Multi- Multi-

1.891.831.671.390.5610.740.670.600.440.361

Family Family

2.172.061.831.560.722+1.441.381.331.170.812+

NOT SURVEYEDHotel/Motel UnitsNOT SURVEYEDHotel/Motel Units

RECOMMENDED FSUTMS TRIP PRODUCTION RATES:RECOMMENDED FSUTMS TRIP PRODUCTION RATES:HOME-BASED SHOPHOME-BASED WORK

Number of Persons in HouseholdNumber ofDwelling Number of Persons in HouseholdNumber ofDwelling 5+4321Autos Avail.Unit Type5+4321Autos Avail.Unit Type

2.211.380.760.410.2800.310.270.200.170.140

Single- Single-

5.453.802.551.530.8311.160.920.750.580.521

Family Family

7.394.903.031.660.972+1.431.240.970.750.582+

2.041.320.840.540.3000.310.250.220.200.170

Multi- Multi-

3.602.521.921.440.9611.481.060.810.730.421

Family Family

5.584.082.761.801.142+1.701.230.920.670.422+


RECOMMENDED FSUTMS TRIP PRODUCTION RATES:RECOMMENDED FSUTMS TRIP PRODUCTION RATES:HOME-BASED OTHERHOME-BASED SOCIAL/RECREATION

1992 LEE COUNTY TRAVEL CHARACTERICTICS STUDY (LCTCS)(PERMANENT HOUSEHOLDS)


0.730.730.650.570.4900.230.210.170.120.060

Single- Single-

2.112.111.951.711.3010.280.260.220.180.071

Family Family

2.762.602.352.031.462+0.390.390.360.290.162+

0.760.760.670.590.5000.200.160.110.070.030

Multi- Multi-

2.862.772.522.200.8410.220.200.180.130.091

Family Family

3.283.112.772.351.092+0.430.410.370.310.242+




2.911.821.000.550.3600.350.310.240.200.160

Single- Single-

7.185.003.362.001.0911.341.060.870.670.431

Family Family

9.736.464.002.181.272+1.651.301.020.830.672+

1.571.020.650.420.2300.570.460.410.360.310

Multi- Multi-

2.771.941.481.230.7412.731.961.490.980.611

Family Family

4.293.142.121.380.882+3.142.271.701.400.772+



1992 LEE COUNTY TRAVEL CHARACTERICTICS STUDY (LCTCS)(SEASONAL HOUSEHOLDS)


0.400.400.360.310.2700.910.820.680.470.240

Single- Single-

1.161.161.070.940.7111.121.030.780.510.331

Family Family

1.601.431.291.250.802+2.201.811.451.110.622+

0.590.590.520.460.3900.500.400.280.180.080

Multi- Multi-

2.222.161.961.630.6510.550.500.450.330.191

Family Family

2.552.422.161.830.852+1.081.030.930.700.602+




2.231.400.770.420.2800.330.300.220.180.150

Single- Single-

5.513.842.581.530.8411.261.000.810.570.501

Family Family

7.464.953.111.581.002+1.551.271.030.840.632+

1.671.080.690.440.2500.400.330.290.250.220

Multi- Multi-

2.952.071.581.430.8011.921.381.050.930.511

Family Family

4.583.352.261.480.942+2.211.601.201.170.542+



1992 LEE COUNTY TRAVEL CHARACTERICTICS STUDY (LCTCS)(TOTAL HOUSEHOLDS)


0.460.460.410.360.310 1.271.160.930.660.310

Single- Single-

1.321.321.211.060.5611.541.501.481.210.681

Family Family

2.001.621.551.110.912+2.742.311.981.700.902+

0.350.350.310.270.2301.331.140.910.640.180

Multi- Multi-

1.331.291.170.940.4711.741.551.321.050.641

Family Family

1.521.441.291.040.632+2.402.221.771.630.882+




4.482.501.380.660.2000.280.250.190.160.130

Single- Single-

7.184.483.231.961.1711.060.850.680.470.441

Family Family

9.745.663.562.171.322+1.681.260.860.660.532+

3.312.131.350.870.5200.280.230.200.180.150

Multi- Multi-

5.444.093.002.131.1711.340.960.730.510.361

Family Family

6.624.964.052.381.132+1.551.260.800.720.382+



1988 TALLAHASSEE URBAN TRAVEL CHARACTERISTICS EVALUATION STUDY (TTCES)


0.550.500.450.400.3001.301.200.900.500.300

Single- Single-

1.501.301.100.800.4511.701.601.501.100.701

Family Family

1.651.551.301.100.802+2.602.502.301.901.502+

0.450.400.350.300.2001.101.000.800.600.400

Multi- Multi-

1.251.201.050.950.4511.701.601.501.100.901

Family Family

1.401.301.101.050.602+2.302.202.101.801.302+




2.201.501.000.500.4000.400.350.300.250.200

Single- Single-

6.504.753.202.201.0011.401.100.900.700.601

Family Family

7.406.004.002.301.302+1.551.251.000.750.602+

2.001.501.000.700.4000.500.450.400.350.300

Multi- Multi-

4.803.602.801.901.0011.200.900.750.650.501

Family Family

6.004.503.101.951.102+1.601.050.800.700.602+



1987 ORLANDO URBAN TRAVEL CHARACTERISTICS STUDY (OUTCS)


0.800.800.750.700.6001.551.401.100.700.300

Single- Single-

1.701.701.601.300.6011.901.601.250.800.701

Family Family

1.601.551.351.100.752+2.652.552.401.901.152+

0.500.500.450.400.3501.000.800.550.350.150

Multi- Multi-

1.651.601.551.400.7011.451.401.351.050.801

Family Family

1.651.601.501.400.602+2.402.352.251.801.202+




1.651.000.700.500.2500.500.450.400.350.300

Single- Single-

4.003.302.301.100.7011.501.200.900.700.401

Family Family

5.504.652.751.000.502+2.301.701.050.650.302+

1.701.200.800.600.3000.600.550.500.450.300

Multi- Multi-

3.402.752.201.300.6011.901.250.900.700.401

Family Family

4.703.602.501.100.902+2.201.701.200.900.452+



1991 PALM BEACH COUNTY TRAVEL PATTERNS AND TRANSIT NEEDS STUDY (PBTTS)


0.450.450.400.350.3001.551.401.150.800.400

Single- Single-

1.301.301.201.160.7612.001.590.820.340.351

Family Family

1.701.601.260.910.682+3.022.611.841.220.712+

0.450.450.400.350.3001.000.800.550.350.150

Multi- Multi-

1.701.651.501.100.7411.101.000.900.650.221

Family Family

1.951.851.651.310.952+2.152.051.850.410.482+




1.601.000.550.300.2000.450.400.300.250.200

Single- Single-

3.952.751.851.431.0911.701.351.100.520.291

Family Family

6.113.712.471.770.702+2.230.930.680.760.522+

1.701.100.700.450.2500.550.450.400.350.300

Multi- Multi-

3.002.101.601.391.3212.651.901.450.470.371

Family Family

4.653.402.301.760.952+3.052.201.651.150.822+



1996 TREASURE COAST TRAVEL CHARACTERISTICS STUDY (TC2S)


0.450.450.400.650.3001.421.401.150.330.520

Single- Single-

0.200.511.511.721.6510.671.101.401.222.091

Family Family

1.971.711.521.550.592+1.351.341.461.690.902+

0.190.490.121.091.1001.000.310.911.071.100

Multi- Multi-

0.200.120.321.281.3610.250.800.801.811.791

Family Family

0.730.592.051.690.162+1.841.741.862.141.572+




0.590.310.170.650.1700.450.400.300.250.150

Single- Single-

0.821.211.761.992.1911.160.781.011.532.041

Family Family

2.321.931.921.910.152+2.291.651.741.710.392+

0.350.490.660.480.8200.380.450.280.721.140

Multi- Multi-

0.990.621.011.742.0510.960.730.421.422.061

Family Family

1.841.111.681.600.302+0.340.601.152.100.582+



Note: Survey Trip Production Rates not used in recent Model Validation

1993 DADE COUNTY HOUSEHOLD TRAVEL AND HURRICANE IMPACT SURVEY (Dade Co.)


0.450.450.400.350.3001.551.401.150.800.400

Single- Single-

1.301.301.201.050.8011.901.751.501.100.861

Family Family

1.701.601.451.250.902+2.702.282.211.661.052+

0.450.450.400.350.3001.000.800.550.350.150

Multi- Multi-

1.701.651.500.910.5511.101.000.900.650.541

Family Family

1.951.851.651.040.652+2.152.051.851.551.202+




1.601.000.550.300.2000.450.400.300.250.200

Single- Single-

3.952.751.701.100.7511.701.351.100.510.401

Family Family

2.832.851.861.321.142+0.780.620.480.400.222+

1.701.100.700.450.2500.550.450.400.350.300

Multi- Multi-

3.002.321.580.920.8612.651.020.290.370.341

Family Family

1.782.611.871.131.002+3.051.050.320.400.372+



1996 BROWARD COUNTY TRAVEL CHARACTERISTICS STUDY (BCTCS)

APPENDIX F

Graphed Trip Production Rates

Trip Rate ComparisonsSingle Family No Auto HBW

0.0 4 II00 1 22 33 44 55 66

personspersons per per Household

Trip Rate ComparisonsMulti-Family No Auto HBW

0.00.0 40 1 2 3 4 5 6

Persons per Household

Trip Rate ComparisonsSingle Family No Auto HBW

1.6 -

0.0B0 1 2 3 4 5 6


0.0 -I iI

00 1 2 3 4 5 6Persons per Household

-Orlando - Tallahassee

- Lee County - Jacksonville

Trip Rate ComparisonsSingle Family 1 Auto HBW

2.5

0.50.5 __.........................................~.......................................................................__.........................................~.......................................................................

0.00.0 77 II I I II 11

0 0 11 11 3 5 3 5 66

Trip Rate ComparisonsMulti-Family 1 Auto HBW

2.0 , I


2.5

Trip Rate ComparisonsSingle Family 1 Auto HBW

Trip Rate ComparisonsMulti-Family 1 Auto HBW

1.81.61.4

9) 1.22 1.0.$0.8b 0.6

0.40.20.00.0 !

0 1 2 3 4 5 6Persons uer Household

3.03.0 ..........................................................................................................................................................................................................2.52.5 ............................................................................................................................................ri:~~~~~:::_0.50.5 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..---....---..

0.00.0 I00 1 22 33 44 55 66


Trip Rate ComparisonsMulti-Family 2+ Auto HBW

0.50.5 ______._____._______.~.................................................................................______._____._______.~.................................................................................

0.00.0 tt II0 0 1 2 3 4 5 62 3 4 5 6


- Palm Beach - Dade I I I- Broward - Treasure Coast

I 1

Trip Rate ComparisonsSingle Family 2+ Auto HBW

0.0 0.0 1100

3.0

Trip Rate ComparisonsMulti-Family 2+ Auto HBW

Trip Rate ComparisonsSingle Family No Auto HBSH

0.0 0.0 -I I I

0 55

lj,lj,66

J

Trip Rate ComparisonsMulti-Family No Auto HBSH

______._._._._______..............-______._._._._______..............-

o,2o,2 __________________,__...,...._..........__________________,__...,...._..........

0.0 0.0 TT II II

00

Trip Rate ComparisonsSingle Family No Auto HBSH

0.2 __ .___ _ __..______.__.______...................................................................... . . . . . .

0.0 -

0 55

l21l2166

Trip Rate ComparisonsMulti-Family No Auto HBSH

O.* 3______ __ _______ __ _____~~~~~~~~.~~..~~~ _.___________.______.................... . . . . . . . . - . +-..-.--.------1..---

_._____.._________ // . . . . . . . . . . . . . . . . . . .

________ __ __,,___ _________.._.__._.__............................................................... - . . . -.

0.00.0 -I I0 1 22 33 44 55 66

persons per Household

I- Orlando - Tallahassee

- Lee county - Jacksonville

Trip Rate ComparisonsSingle Family 1 Auto HBSH

Trip Rate ComparisonsMulti-Family 1 Auto HBSH

1.81.61.4

0 1.23 1.0.20.8I- 0.6

______________...___.................. .-.....__.___...._._______..........

. . .__..__................. --.

0.0 7


- Palm Beach - Dade

- Broward - Treasure Coast

Trip Rate Comparisons

0.0I0 1 2 3 4 5 62 3 4 5 6


/ - Orlando - Tallahassee

- Lee County - Jacksonville

Trip Rate ComparisonsMulti-Family 1 Auto HBSH

I 0.0 -I I0 55

ljilji 66

Trip Rate ComparisonsSingle Family 2+ Auto HBSH

0.0 I

0 1 !I!I 3 5 3 5 66

Trip Rate ComparisonsMulti-Family 2+ Auto HBSH

2.52.51

2.0 ____________________...................................... __.............._....................... .- - . -.:l~~~~~~~~0.0 0 1 3 53 5a!a! 66

Trip Rate ComparisonsSingle Family 2+ Auto HBSH

Trip Rate ComparisonsMulti-Family 2+ Auto HBSH

0.0 0.0 --00

Trip Rate ComparisonsMulti-Family No Auto HBSR

Trip Rate ComparisonsSingle Family No Auto HBSR

0.6 0.6 ,

Trip Rate ComparisonsSingle Family No Auto HBSR

0.6 ,, 11

;

. .0.1 --

_____ _____________.____ ,._______.._._______................................... .-........-...-...

0.0 7 1

0

**; 6

i :

::

j :

Trip Rate Comparisons Trip Rate ComparisonsSingle Family 2+ Auto HBSR Single Family 2+ Auto HBSR

Trip Rate ComparisonsMulti-Family 2+ Auto HBSR

. . . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . .

Trip Rate ComparisonsMulti-Family 2+ Auto HBSR

..______..........__..______..........__

0.0 0.0 77 II 11 11

00

___......._.........___......._.........

00

Trip Rate ComparisonsSingle Family No Auto HBO

I I

Trip Rate ComparisonsMulti-Family No Auto HI30

1.8 7

‘i_i~~~~~014 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .._._.......___..................................... _._.....___________._____


Trip Rate ComparisonsSingle Family No Auto HBO

I 1

Trip Rate ComparisonsMulti-Family No Auto HBO

1 3.5 , I I

0 I 33

e-i5e-i5 66

Trip Rate ComparisonsSingle Family 1 Auto HBO

Trip Rate ComparisonsMulti-Family 1 Auto HBO

4.0 , I3.53.0

2 2.5z2.0‘g 1.5

1.00.5

0 1 5

4,6

Trip Rate ComparisonsSingle Family 1 Auto HBO

Trip Rate ComparisonsMulti-Family 1 Auto HBO

6.0 6.0 --

ctl2.01 J-J

I............... w . . .. . . . . . . . . . . . /y

0.0 -I I I


-+

-%

-\B-

-i--l-

00000000

~\d

vi+

Pic

-ir

;daw

d!.q,

0W

APPENDIX G

Updated Dwelling Unit Weights

Data on the average size of households in 1990 and the total number of households having one, two, three,

four, or five or more persons is available at the Census Tract level for each urban area. These figures are

based on a fifteen percent sample by the U.S. Census. The development of a household stratification model

for an urban area is a five-step process.

1

2.

3.

4.

5.

The area’s Census Tracts are grouped by average household size. Each Tract is assigned

to one of seventeen groups representing the average number of persons per dwelling unit

in increments from 0.00 to 1.12,1.13 to 1.37, and so forth (increments of 0.25 persons per

dwelling unit are used until the final increment of 6.00+ is reached).

Within each household size group, the number of households with one, two, three, four,

or five or more persons (based on Census data) is recorded.

The proportions of households in each of the five size categories within each of the

seventeen groups are calculated.

These proportions are plotted against the respective average values of each group (i.e.,

against 1.00, 1.13, 1.38, and so forth, to the last average of 6.00+).

Five curves are then drawn through the points representing households of one, two, three,

four, or five or more persons. The proportions corresponding to each average value must

total 100 percent.

This process yields a set of five curves for each urban area. The Florida Department of Transportation

prepared a set of the proportion matrices (step 3 above) from 1990 Census tiles. From these matrices, a

graph of the five curves was prepared for four test urban areas: Broward County, Orlando, Tallahassee,

and Sarasota.

TALLAHASSEE/LEON URBAN AREA CONVERSION MATRIX FOR PERSONS PER DWELLING UNIT

AVERAGE PERSONS PER DWELLING UNIT*

* EACH VALUE IN THE TABLE REPRESENTS THE PROPORTION OF HOUSEHOLDS ASSUMED TO HAVE THE ROW VALUE

OF PERSONS PER DWELLING UNIT, GIVEN AN AVERAGE VALUE WITHIN THE RANGE INDICATED BY THE COLUMNS

l * INSUFFICIENT DATA AVAILABLE, THEREFORE, FSUTMS DWELLING UNIT WEIGHT MATRIX DEFAULT VALUES WERE USED

SARASOTA/MANATEE URBAN AREA CONVERSION MATRIX FOR PERSONS PER DWELLING UNIT




** INSUFFICIENT DATA AVAILABLE, THEREFORE, FSUTMS DWELLING UNIT WEIGHT MATRIX DEFAULT VALUES WERE USED

BROWARD URBAN AREA CONVERSION MATRIX FOR PERSONS PER DWELLING UNIT


PERSONS/DU

1

2

3.13-3.37

0.12

0.29

3.38-3.62

0.08

0.24

3.63-3.87

0.05

0.20

3.88-4.12

0.04

0.16

4.13-4.37

0.02

0.15

4.38-4.62

0.01

0.15

4.63-5.99

0.00

0.05

6.00-UP

0.00

0.00

3 0.18 0.20 0.19 0.17 0.14 0.13 0.07 0.02

4 0.17 0.20 0.23 0.24 0.21 0.17 0.14 0.05

5 0.24 0.28 0.33 0.39 0.48 0.54 0.74 0.93

” l * tt t* ** t* l * * * l *

l EACH VALUE IN THE TABLE REPRESENTS THE PROPORTION OF HOUSEHOLDS ASSUMED TO HAVE THE ROW VALUE


** INSUFFICIENT DATA AVAILABLE, THEREFORE, FSUTMS DWELLING UNIT WEIGHT MATRIX DEFAULT VALUES WERE USED

ORANGE/OSCE~LA/SEM~N~LE URBAN AREA CON VE RS IO N MAT RIX FOR PERSONS PER DWELLING U N I T




+* INSUFFICIENT DATA AVAILABLE, THEREFORE, FSUTMS DWELLING UNIT WEIGHT MATRIX DEFAULT VALUES WERE USED

APPENDIX H

Graphed Dwelling Unit Weights

50%-

45%-

40%-

35%-

30%-

25%-

20%-

15%.

10%.

5%.

0%.

- L

HSHLD OCCUPANCY STRATIFICATION CURVESTALLAHASSEE/LEON URBAN AREA

1.87 2.i2 2.37 2.62 2.87TRACT AVERAGE PERSONS PER DWELLING UNIT

(MAXIMUM VALUE OF EACH RANGE)

--m- 1 PERSON/DU + 2 PERSONS/DU +++ 3 PERSONS/DU

-E+- 4 PERSONS/DU -++-- 5 PERSONS/DU

60%

50%

40%

30%

20%

10%

0%.

HSHLD OCCUPANCY STRATIFICATION CURVESSARASOTA/MANATEE URBAN AREA

I I1.37

I1.62

I1.87

1 I2.12 2.37

I2.62 2.87

TRACT AVERAGE PERSONS PER DWELLING UNIT(MAXIMUM VALUE OF EACH RANGE)

- I PERSON/DU + 2 PERSONS/DU -+I+- 3 PERSONS/DU-a--- 4 PERSONS/DU * 5 PERSONS/DU

PE

RC

EN

T O

F H

OU

SE

HO

LDS

C m u)

45%

40%

35%

30%

25%

20%

15%

10%

5%

0%

HSHLD OCCUPANCY STRATIFICATION CURVESORANGE/OSCEOLA/SEMINOLE URBAN AREA

1 I I I I I I

1.62 1.87 2.12 2.37 2.62 2.87 3.12TRACT AVERAGE PERSONS PER DWELLING UNIT

(MAXIMUM VALUE OF EACH RANGE)

- 1 PERSON/DU + 2 PERSONSIDU -+I+ 3 PERSONS/DU

- 4 PERSONS/DU - 5 PERSONS/DU

DOCUMENTATION AND PROCEDURAL UPDATES TO THE FLORIDA STANDARD URBAN

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