ITE Data Collection Project 2015 v7

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ITEDataCollectionProject2015UniversityofWashingtonTo Richard Hutchinson

From Luka Ukrainczyk

AbstractThe UW ITE chapter studied traffic volumes at Starbucks Coffee in Lake City, Seattle. Trips generated by

the store as well as parking and drive‐thru demand were recorded and analyzed. Data was collected on

three consecutive non‐holiday weekdays in March 2015. Motor vehicle and drive‐thru demand were

found to be drastically high in the morning. Non‐motorized demand was steady throughout the day. All

data collected is organized and presented in this report.

Please contact Luka Ukrainczyk at [email protected] with any questions or requests.

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StudyScopeDuring three days in March 2015, members of the University of Washington ITE chapter and volunteers

from courses CEE 327 and CEE 410 collected data on driveway entrance volume, queue, and parking as

well as pedestrian and bicycle entrance volumes. There were 32 total people working on the study. The

data collection was done at Starbucks Coffee at 12001 Lake City Way NE in the Lake City neighborhood

of Seattle, WA. There were at least two team members collecting data at all times between 6:00 AM and

6:00 PM on Tuesday March 10th, Wednesday March 11th, and Thursday March 12th. These days were

typical weekdays. Part 1 of the appendix details the characteristics of the establishment. Figure 1 shows

the satellite image of the site with driveways, drive‐thru, and bus stops notated.

Table 1 Site Characteristics

Figure 1 Site map. Drive‐thru marked in red. Driveways marked in yellow.

MethodologyMotor vehicles were counted when they crossed the driveway threshold into the site. Only incoming

cars were counted. Exit trips were calculated from the difference between entrances and parking

turnover. Motor vehicles were distinguished by type; car, van, truck, and motorcycle. Bikes were

counted when they entered Starbucks property. Pedestrians and bus riders were counted when they

walked through the doors of the building. Parking tally was taken every 15 minutes of the site’s 28 spots.

The longest drive‐thru line was recorded every five minutes.

Location 12001 Lake City Way NE Seattle, WA 98125

Parking Lot 28 parking stalls (2 of which are ADA stalls)

Site Area .45 acres

Area of Facility 3,500 sq‐ft

Winter hours 5am ~ 10pm

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DrivewayVolumesFigure 2 shows the hourly volumes entering all driveways on the premises. Demand is strongest in the

morning, as expected at a coffee shop. Demand peaks between 8 AM and 9 AM, with much smaller

minor peaks around noon and 4 PM, which correspond to lunch and the end of the work day

respectively. The store remains open until 10 PM, with a much smaller stream of customers. For the

safety of our data collectors, we stopped collecting data at 6 PM.

Heavy trucks were very uncommon. 64 truck trips were recorded over all three days of data collection.

Part 2 and part 3 of the appendix detail the driveway volumes.

Figure 2

Average Hourly Weekday Vehicle Trips

0

50

100

150

200

250

300

Trips

Average Hourly Weekday Vehicle Trips

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ParkingandQueueingFigure 3 shows the maximum parking occupancy for every hour of data collection. Curiously, parking

occupancy grows throughout the day and reaches its peak at 4 PM. There is a smaller but significant

peak at 9 AM, which corresponds to the peak driveway volume in Figure 2. Data collectors observed that

many customers would park and leave their car idling for as much as ten minutes while they bought

coffee inside the store.

Figure 4 shows the maximum drive‐thru line recorded each hour. Drive‐thru queue length more closely

reflects entrance demand, with a peak between 7 AM and 8 AM and a much smaller peak around noon.

Drive‐thru queue lengths are heavily stacked in the morning, suggesting people are in a hurry at that

time and want to save time using the drive‐thru. The Parking and Queue Demand Survey Forms in the

Appendix detail parking volume and queue length.

Figure 3 Maximum hourly parking occupancy

Figure 4 Maximum hourly queue length

0%10%20%30%40%50%60%70%80%90%

100%

Parking occupan

cy

0

2

4

6

8

10

12

Queue length

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Non‐MotorizedTransportationandTrucksFigure 5 shows the entrance volumes of bicycle riders and pedestrians. Bicycle riders were rarely seen

patronizing Starbucks. The surrounding area does have bike lanes and the Starbucks does have a bike

rack. However, Lake City Way NE is a heavily driven arterial with a 30 mph speed limit. The surrounding

area is very hilly. This may limit the feasibility of cycling for many Lake City residents.

Pedestrians were more common, especially in the afternoon times in comparison to motorize vehicle

users, with very steady arrivals between 6 AM and 10 AM and significant peaks at 1 PM and 4 PM.

Bus riders were extremely rare, with less than 60 transit trips recorded in all three days of data

collection. Part 4 of the Appendix details pedestrian and bicycle volume.

Figure 5 Average Hourly Weekday Non‐car Trips

0

1

2

3

4

5

6

7

8

9

10

Trips

Average Hourly Weekday Non‐car Trips Bicycle Truck Transit

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Figure 6 Average Hourly Weekday Pedestrian Trips

Table 2 Average trip generation

2015 UW ITE Study Previous ITE studies

Weekday AM Trip generation per 1000 sq ft of retail space

77.90

110.75

Weekday AM directional distribution

50% entering, 50% exiting 51% entering, 49% exiting

Weekday mid‐day Trip generation per 1000 sq ft of retail space

73.00 ‐‐

Weekday mid‐day directional distribution

50% entering, 50% exiting ‐‐

Weekday PM Trip generation per 1000 sq ft of retail space

27.43 42.93

Weekday PM directional distribution 51% entering, 49% exiting 50% entering, 50% exiting

Square footage 3500 2000

0

5

10

15

20

25

30Trips

Average Hourly Weekday Pedestrian Trips

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ConclusionsDriveway demand and drive‐thru demand were heavily skewed to the morning rush, while parking

demand remained steady throughout the day. The majority of extra driveway demand in the morning

was attributed to drive‐thru usage. Pedestrian demand was more steady and uniform throughout the

day. Consistent idling by patrons was noticed, with some leaving their car parked and running for ten

minutes while they bought coffee inside. Combatting this habit would be a great opportunity for

emission reduction from this land use.

Luka Ukrainczyk UW ITE Chapter President April 14th 2015

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AppendixTrip Generation Rate for Land Use

1. Weekday Trip Generation 2. A.M. Peak Weekday Trip Generation 3. P.M. Peak Weekday Trip Generation

Trip Generation Data Forms 4. Part 1 Tuesday 5. Part 1 Wednesday 6. Part 1 Thursday 7. Part 2 8. Part 3 Tuesday 9. Part 3 Wednesday 10. Part 3 Thursday 11. Part 4

Demand Survey Forms 12. Parking Demand Survey Form 13. Queueing Demand Survey Form

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Trip Generation

1. AM Peak (8AM‐9AM)

Daily AM Peak‐Hour Trips

Time Tuesday Wednesday Thursday

8:15AM 39 46 65

8:30AM 69 108 48

8:45AM 75 97 60

9:00AM 54 82 71

Total Trips 237 333 244

Plotting the values of the hourly trips for each of the three days onto the ITE trip generation graph for

the AM peak hour traffic yields:

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2.

PM Peak (4PM‐5PM):

Daily PM Peak‐Hour Trips

Time Tuesday Wednesday Thursday

4:15 PM 27 31 23

4:30 PM 29 29 29

4:45 PM 27 22 23

5:00 PM 17 24 16

Total Trips 100 106 91 Plotting the values of the hourly trips for each of the three days onto the ITE trip generation graph for

the PM peak hour traffic yields:

Institute of Transportation Engineers

Name/Organization: ___University of Washington ITE______________________________________________________City/State: ____Seattle WA_________________Telephone Number: ____(206) 685-‐6817____________________________________________Detailed Driveway Volumes: Attach this sheet to parts 1 and 2 if you are providing additional information

Day of the week: ___Tuesday______________________________________________________________(All = All Vehicles Counted, Including Trucks; Trucks = Heavy Duty Trucks and Buses)

All Trucks All Trucks All Trucks All Trucks All Trucks All Trucks12:00 -‐ 12:15 12:00 -‐ 12:15 21 0 25 0 46 0

12:15 -‐ 12:30 12:15 -‐ 12:30 24 0 22 0 46 0

12:30 -‐ 12:45 12:30 -‐ 12:45 30 0 33 0 63 0

12:45 -‐ 13:00 12:45 -‐ 13:00 15 1 13 1 28 2

1:00 -‐ 1:15 1:00 -‐ 1:15 19 0 19 0 38 0

1:15 -‐ 1:30 1:15 -‐ 1:30 26 0 26 0 52 0

1:30 -‐ 1:45 1:30 -‐ 1:45 18 0 17 0 35 0

1:45 -‐ 2:00 1:45 -‐ 2:00 22 0 26 0 48 0

2:00 -‐ 2:15 2:00 -‐ 2:15 17 0 10 0 27 0

2:15 -‐ 2:30 2:15 -‐ 2:30 14 0 15 0 29 0

2:30 -‐ 2:45 2:30 -‐ 2:45 20 0 22 0 42 0

2:45 -‐ 3:00 2:45 -‐ 3:00 8 0 12 0 20 0

3:00 -‐ 3:15 3:00 -‐ 3:15 16 0 14 0 30 0

3:15 -‐ 3:30 3:15 -‐ 3:30 9 0 9 0 18 0

3:30 -‐ 3:45 3:30 -‐ 3:45 7 0 6 0 13 0

3:45 -‐ 4:00 3:45 -‐ 4:00 12 0 9 0 21 0

4:00 -‐ 4:15 4:00 -‐ 4:15 15 0 12 0 27 0

4:15 -‐ 4:30 4:15 -‐ 4:30 15 0 14 0 29 0

4:30 -‐ 4:45 4:30 -‐ 4:45 13 0 14 0 27 0

4:45 -‐ 5:00 4:45 -‐ 5:00 9 0 8 0 17 0

5:00 -‐ 5:15 5:00 -‐ 5:15 13 0 19 0 32 0

5:15 -‐ 5:30 5:15 -‐ 5:30 8 0 8 0 16 0

5:30 -‐ 5:45 5:30 -‐ 5:45 6 0 7 0 13 0

5:45 -‐ 6:00 5:45 -‐ 6:00 4 0 10 0 14 0

6:00 -‐ 6:15 24 0 21 0 45 0 6:00 -‐ 6:15

6:15 -‐ 6:30 18 0 19 0 37 0 6:15 -‐ 6:30

6:30 -‐ 6:45 24 0 18 0 42 0 6:30 -‐ 6:45

6:45 -‐ 7:00 22 0 21 0 43 0 6:45 -‐ 7:00

7:00 -‐ 7:15 25 0 27 0 52 0 7:00 -‐ 7:15

7:15 -‐ 7:30 37 1 36 0 73 1 7:15 -‐ 7:30

7:30 -‐ 7:45 22 0 23 0 45 0 7:30 -‐ 7:45

7:45 -‐ 8:00 29 1 23 0 52 1 7:45 -‐ 8:00

8:00 -‐ 8:15 19 0 20 0 39 0 8:00 -‐ 8:15

8:15 -‐ 8:30 35 2 34 2 69 4 8:15 -‐ 8:30

8:30 -‐ 8:45 35 1 40 1 75 2 8:30 -‐ 8:45

8:45 -‐ 9:00 28 0 26 0 54 0 8:45 -‐ 9:00

9:00 -‐ 9:15 24 0 24 0 48 0 9:00 -‐ 9:15

9:15 -‐ 9:30 25 2 24 2 49 4 9:15 -‐ 9:30

9:30 -‐ 9:45 27 3 26 3 53 6 9:30 -‐ 9:45

9:45 -‐ 10:00 23 3 23 2 46 5 9:45 -‐ 10:00

10:00 -‐ 10:15 21 0 21 0 42 0 10:00 -‐ 10:15

10:15 -‐ 10:30 21 2 22 2 43 4 10:15 -‐ 10:30

10:30 -‐ 10:45 16 1 15 1 31 2 10:30 -‐ 10:45

10:45 -‐ 11:00 9 0 12 1 21 1 10:45 -‐ 11:00

11:00 -‐ 11:15 20 0 17 0 37 0 11:00 -‐ 11:15

11:15 -‐ 11:30 13 1 15 0 28 1 11:15 -‐ 11:30

11:30 -‐ 11:45 11 1 14 1 25 2 11:30 -‐ 11:45

11:45 -‐ 12:00 12 0 7 0 19 0 11:45 -‐ 12:00

Trip Generation Data Form (Part 3)

A.M. Period Enter Exit Total P.M. Period Enter Exit Total


Name/Organization: ___University of Washington ITE______________________________________________________City/State: ____Seattle WA_________________Telephone Number: ____(206) 685-‐6817____________________________________________Detailed Driveway Volumes: Attach this sheet to parts 1 and 2 if you are providing additional information

Day of the week: ___Wednesday____________________________________________________________(All = All Vehicles Counted, Including Trucks; Trucks = Heavy Duty Trucks and Buses)


12:15 -‐ 12:30 12:15 -‐ 12:30 18 0 14 0 32 0

12:30 -‐ 12:45 12:30 -‐ 12:45 8 0 12 0 20 0

12:45 -‐ 13:00 12:45 -‐ 13:00 15 0 15 0 30 0

1:00 -‐ 1:15 1:00 -‐ 1:15 26 0 23 0 49 0

1:15 -‐ 1:30 1:15 -‐ 1:30 11 0 14 0 25 0

1:30 -‐ 1:45 1:30 -‐ 1:45 10 0 10 0 20 0

1:45 -‐ 2:00 1:45 -‐ 2:00 24 1 23 0 47 1

2:00 -‐ 2:15 2:00 -‐ 2:15 5 0 13 1 18 1

2:15 -‐ 2:30 2:15 -‐ 2:30 5 0 5 0 10 0

2:30 -‐ 2:45 2:30 -‐ 2:45 5 0 4 0 9 0

2:45 -‐ 3:00 2:45 -‐ 3:00 5 0 4 0 9 0

3:00 -‐ 3:15 3:00 -‐ 3:15 6 0 4 0 10 0

3:15 -‐ 3:30 3:15 -‐ 3:30 4 0 5 0 9 0

3:30 -‐ 3:45 3:30 -‐ 3:45 6 0 -‐3 0 3 0

3:45 -‐ 4:00 3:45 -‐ 4:00 9 0 8 0 17 0

4:00 -‐ 4:15 4:00 -‐ 4:15 16 0 15 0 31 0

4:15 -‐ 4:30 4:15 -‐ 4:30 15 0 14 0 29 0

4:30 -‐ 4:45 4:30 -‐ 4:45 9 0 13 0 22 0

4:45 -‐ 5:00 4:45 -‐ 5:00 12 0 12 0 24 0

5:00 -‐ 5:15 5:00 -‐ 5:15 9 0 7 0 16 0

5:15 -‐ 5:30 5:15 -‐ 5:30 7 0 14 0 21 0

5:30 -‐ 5:45 5:30 -‐ 5:45 8 0 7 0 15 0

5:45 -‐ 6:00 5:45 -‐ 6:00 5 0 5 0 10 0

6:00 -‐ 6:15 16 0 14 0 30 0 6:00 -‐ 6:15

6:15 -‐ 6:30 21 0 17 0 38 0 6:15 -‐ 6:30

6:30 -‐ 6:45 24 0 23 0 47 0 6:30 -‐ 6:45

6:45 -‐ 7:00 17 1 17 1 34 2 6:45 -‐ 7:00

7:00 -‐ 7:15 29 0 31 0 60 0 7:00 -‐ 7:15

7:15 -‐ 7:30 30 0 28 0 58 0 7:15 -‐ 7:30

7:30 -‐ 7:45 24 0 25 0 49 0 7:30 -‐ 7:45

7:45 -‐ 8:00 30 0 29 0 59 0 7:45 -‐ 8:00

8:00 -‐ 8:15 25 0 21 0 46 0 8:00 -‐ 8:15

8:15 -‐ 8:30 54 0 54 0 108 0 8:15 -‐ 8:30

8:30 -‐ 8:45 48 0 49 0 97 0 8:30 -‐ 8:45

8:45 -‐ 9:00 41 0 41 0 82 0 8:45 -‐ 9:00

9:00 -‐ 9:15 38 2 41 1 79 3 9:00 -‐ 9:15

9:15 -‐ 9:30 37 1 35 1 72 2 9:15 -‐ 9:30

9:30 -‐ 9:45 40 2 37 1 77 3 9:30 -‐ 9:45

9:45 -‐ 10:00 27 2 29 1 56 3 9:45 -‐ 10:00

10:00 -‐ 10:15 38 2 39 1 77 3 10:00 -‐ 10:15

10:15 -‐ 10:30 36 0 36 0 72 0 10:15 -‐ 10:30

10:30 -‐ 10:45 34 0 35 0 69 0 10:30 -‐ 10:45

10:45 -‐ 11:00 31 1 30 1 61 2 10:45 -‐ 11:00

11:00 -‐ 11:15 33 0 37 0 70 0 11:00 -‐ 11:15

11:15 -‐ 11:30 23 0 22 0 45 0 11:15 -‐ 11:30

11:30 -‐ 11:45 19 0 18 0 37 0 11:30 -‐ 11:45

11:45 -‐ 12:00 28 0 21 0 49 0 11:45 -‐ 12:00

P.M. Period Enter Exit Total


A.M. Period Enter Exit Total


Name/Organization: ___University of Washington ITE______________________________________________________City/State: ____Seattle WA_____________Telephone Number: ____(206) 685-‐6817____________________________________________Detailed Driveway Volumes: Attach this sheet to parts 1 and 2 if you are providing additional information

Day of the week: ___Thursday______________________________________________________________(All = All Vehicles Counted, Including Trucks; Trucks = Heavy Duty Trucks and Buses)


12:15 -‐ 12:30 12:15 -‐ 12:30 12 1 12 1 24 2

12:30 -‐ 12:45 12:30 -‐ 12:45 15 0 14 0 29 0

12:45 -‐ 13:00 12:45 -‐ 13:00 21 0 21 0 42 0

1:00 -‐ 1:15 1:00 -‐ 1:15 18 0 17 0 35 0

1:15 -‐ 1:30 1:15 -‐ 1:30 12 0 11 0 23 0

1:30 -‐ 1:45 1:30 -‐ 1:45 11 0 13 0 24 0

1:45 -‐ 2:00 1:45 -‐ 2:00 11 0 11 0 22 0

2:00 -‐ 2:15 2:00 -‐ 2:15 15 0 16 0 31 0

2:15 -‐ 2:30 2:15 -‐ 2:30 13 1 11 0 24 1

2:30 -‐ 2:45 2:30 -‐ 2:45 19 0 16 0 35 0

2:45 -‐ 3:00 2:45 -‐ 3:00 13 0 16 0 29 0

3:00 -‐ 3:15 3:00 -‐ 3:15 13 0 14 0 27 0

3:15 -‐ 3:30 3:15 -‐ 3:30 16 0 14 0 30 0

3:30 -‐ 3:45 3:30 -‐ 3:45 13 1 13 1 26 2

3:45 -‐ 4:00 3:45 -‐ 4:00 12 0 15 0 27 0

4:00 -‐ 4:15 4:00 -‐ 4:15 11 0 12 0 23 0

4:15 -‐ 4:30 4:15 -‐ 4:30 16 0 13 0 29 0

4:30 -‐ 4:45 4:30 -‐ 4:45 11 0 12 0 23 0

4:45 -‐ 5:00 4:45 -‐ 5:00 9 0 7 0 16 0

5:00 -‐ 5:15 5:00 -‐ 5:15 11 1 11 1 22 2

5:15 -‐ 5:30 5:15 -‐ 5:30 12 0 13 0 25 0

5:30 -‐ 5:45 5:30 -‐ 5:45 13 0 12 0 25 0

5:45 -‐ 6:00 5:45 -‐ 6:00 11 0 13 0 24 0

6:00 -‐ 6:15 18 0 20 0 38 0 6:00 -‐ 6:15

6:15 -‐ 6:30 31 0 29 0 60 0 6:15 -‐ 6:30

6:30 -‐ 6:45 35 0 40 0 75 0 6:30 -‐ 6:45

6:45 -‐ 7:00 37 0 35 0 72 0 6:45 -‐ 7:00

7:00 -‐ 7:15 42 0 40 0 82 0 7:00 -‐ 7:15

7:15 -‐ 7:30 36 0 33 0 69 0 7:15 -‐ 7:30

7:30 -‐ 7:45 42 0 43 0 85 0 7:30 -‐ 7:45

7:45 -‐ 8:00 42 0 37 0 79 0 7:45 -‐ 8:00

8:00 -‐ 8:15 32 1 33 0 65 1 8:00 -‐ 8:15

8:15 -‐ 8:30 26 0 22 1 48 1 8:15 -‐ 8:30

8:30 -‐ 8:45 28 0 32 0 60 0 8:30 -‐ 8:45

8:45 -‐ 9:00 38 0 33 0 71 0 8:45 -‐ 9:00

9:00 -‐ 9:15 28 0 28 0 56 0 9:00 -‐ 9:15

9:15 -‐ 9:30 22 0 22 0 44 0 9:15 -‐ 9:30

9:30 -‐ 9:45 28 0 23 0 51 0 9:30 -‐ 9:45

9:45 -‐ 10:00 33 0 37 0 70 0 9:45 -‐ 10:00

10:00 -‐ 10:15 33 0 33 0 66 0 10:00 -‐ 10:15

10:15 -‐ 10:30 25 0 24 0 49 0 10:15 -‐ 10:30

10:30 -‐ 10:45 24 0 25 0 49 0 10:30 -‐ 10:45

10:45 -‐ 11:00 19 0 17 0 36 0 10:45 -‐ 11:00

11:00 -‐ 11:15 17 0 20 0 37 0 11:00 -‐ 11:15

11:15 -‐ 11:30 14 0 19 0 33 0 11:15 -‐ 11:30

11:30 -‐ 11:45 7 0 7 0 14 0 11:30 -‐ 11:45

11:45 -‐ 12:00 12 0 15 0 27 0 11:45 -‐ 12:00

TotalEnter Total P.M. Period Enter ExitA.M. Period


Exit

ITE Data Collection Project 2015 v7

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