OPTIMAL LOCATIONS AND ALLOCATION OF PERSONNEL (OLAP) DURING THE LOCKDOWN

AND PROPOSED WEB-LIKE BUS NETWORK DESIGN FOR METRO MANILA

DOST-PCIEERD Funded Project

Team Composition:Dr. Alexis Fillone (Civil Eng. Dept., DLSU)Dr. Joel Ilao (Computer Science Dept. DLSU)Dr. Robert Billones (ECE Dept., DLSU)

With technical support from:Dr. Raymund Abad and Engr. Kervin Lucas (DLSU)

Flow of Discussion

• Objectives of the Study

• INITIAL Findings of the Study

• Analysis

- Checkpoints

- Re-introduction of the Mass Transit Systems in MM

- Online Survey on Covid-19, Public Transport and Cycling

1 Explore the optimal allocation of health care and security personnel among checkpoints surrounding Metro Manila or any city within Metro Manila

2 Assess the effectiveness of the rationalized public transport route implementation versus the proposed web-like network design for Metro Manila

3 Analyze survey findings on the expressed fear of public commuters on contracting the COVID-19 virus when using public transport

4 Determine public opinion on setting up bicycle lanes/infrastructure in Metro Manila

Objectives of the Ongoing Study

1 It is possible to classify checkpoints based from (a) vehicle volume (pre-Covid 19 estimates) and (b) the number of key facilities that could be reached through the checkpoint gates (e.g. road sections)

2 Providing high-capacity public transport along major corridors and supplementing with secondary feeder routes is best

3 Most commuters fear getting COVID-19 when riding public transport, as against using their own personal vehicles or when walking

4 Most people are willing to ride a bicycle once the proper biking facilities or infrastructure network are in place

Initial Findings of the Ongoing Study

Checkpoints can be set up along the boundary of Metro Manila with neighboring provinces (65 checkpoints)

Other possible checkpoint locations are along the boundary of Quezon City and neighboring cities (40 check points)

Note: Depending on the city or district or barangay to be contained, the potential checkpoints can be identified and the number of vehicles passing these potential checkpoints can be estimated

(1) About Checkpoints

Demand Estimates:• On a regular day, around

62,243 private vehicle trips come from other areas (Green) going to Quezon City (Red) during the morning peak hour

• On a regular day, around 285,311 public transport trips come from other areas (Red) going to Quezon City (Green) during the morning peak hour

The Case of Quezon City

Example: A Checkpoint along Marcos Highway

Checkpoint location

Total Morning Trips Using the Checkpoint = 7,389

Total Origins served = 111Total Destination served = 113

Example: Checkpoint along Marcos

Highway

No. of Public markets connected = 149

No of Supermarkets = 89

No. of Hospitals = 27

Proposed Categories of Checkpoints

Facilities include public markets, supermarkets, and hospitals that connect through each specific link including vehicular volumes

Major

Secondary

Minor

Major Checkpoints: 5000Secondary Checkpoints: 3000 to 4999Minor Checkpoints: 2999 and below

Possible Classification of Local Checkpoints along boundaries of QC and neighboring cities

Major Checkpoints: 5000

Secondary Checkpoints: 3000 to 4999

Minor Checkpoints: 2999 and below

A. Pre-COVID Public Transport System - With Existing Rail Lines, Traditional Jeepneys, Buses, UVs, and P2P routes

B. Current EDSA Bus Carousel, Rationalized Bus Routes (by DOTr), with Existing Rail lines, Modern Jeepneys, Traditional Jeepneys (partial), UVs, and P2Ps (Current as of July 2020)

C. Proposed Web-like Bus Network Route Design for Radial and Circumferential Roads, with Existing Rail Lines, Modern Jeepneys, Tradition Jeepneys (partial), UVs, P2Ps

(2) Re-intro of Mass Transit in Metro Manila

Figure 1. Green are trip origins and Red are trip destinations

Assumptions:- MUCEP (2014) OD was used and proportionately expanded to

Year 2020 including addition of zones- 1.5 trips per household during the morning period- Around 20% of morning trips happen during the morning peak

hour- Around 20% of trips from surrounding provinces go to Metro

Manila during the morning peak- Neighboring MM provinces include Cavite, Laguna, Rizal, Bulacan

and Pampanga

Important Events since January 2020, the March 14 Lockdown, and up to today

Developed by Engr. Strike IbascoRail system, EDSA

Carousel, P2P start to operate (STO)

3 + 11 bus routes start to operate

15 + 9 + 10 modern jeepney routes start to operate (STO)

47 UV Express Routes STO

49 Traditional jeepneys STO

Start of Lockdown

Scenario A. Public Transport Routes in Metro Manila BEFORE the COVID-19 PANDEMIC

Bus Routes UV Express Routes LRT/MRT/PNR lines Trad. Jeepney Routes P2P Routes

Scenario B: Current Public Transport Routes in Metro Manila as of July 2020 with ongoing MGCQ PANDEMICRationalized Bus Routes

with EDSA Carousel UV Routes Rail Lines P2P Routes Trad. Jeepney Routes Modern Jeepney Routes

Radial and Circumferential Roads in Metro Manila

Proposed Web-like Bus Network Route Design for Radial and Circumferential Roads for the MGCQ

Proposed Bus Circumferential Routes

Proposed Bus Radial Routes

C6

+ =

Proposed Circumferential and Radial Routes

Proposed Circumferential and Radial Bus Routes

• 22 Radial bus routes (includes vice versa)• Total estimated service route coverage = 674 kms• Estimated no. of buses required during the peak hour =

709 buses at 5 min. headway

• 18 Circumferential bus routes (includes vice versa)• Total estimated service route coverage = 380 kms• Estimated no. of buses required during the peak hour =

448 buses at 3 & 5 & 10 min. headways

Scenario C: Proposed Web-like Bus Network Route Design for Radial and Circumferential Roads

Web-like Bus Route Design The rest of the routes are similar to Scenario B!

Proposed Web-like Bus Network Design

Pre-Covid Mass transit services in MM

Graphical Comparison of Estimated Public Transport Passenger Flows on the Network

Proposed LTFRB’s EDSA Carousel plus existing rail lines (Phase 1)

Note: Red lines are passengers flows using public transport; green lines are auxiliary transit (e.g., walking, biking, tricycles)

COMPARISON OF SCENARIO RESULTS

Pre-COVID Public Transport System

Graphical Comparison of Estimated Public Transport Passenger Flows on the Network

Proposed Web-like Bus Network DesignRationalized bus routes with EDSA Carousel (Current)

Can you spot the difference?

Pre-COVID Public Transport System Proposed Web-like Bus Network DesignRationalized bus routes with EDSA Carousel

Comparison of Node Activities (boardings, alightings and transfers)

• Will guide in identifying the proper location of transfer stations for mass transit along major corridors

No. of Passengers Pass.Km Pass.Hour

Fx/AUV (Original) 362,081 973,128 76,567M. Jeepney/ Trad.Jeepney (Partial) 552,204 1,208,790 61,182

Rail Lines 56,416 634,766 27,729

Buses / P2P 266,254 842,465 64,092

Total 1,236,955 3,659,148 229,570

No. of Passengers Pass.Km Pass.Hour

Fx/AUV (Original) 358,456 797,024 60,107M.Jeepney, Trad.Jeepney (Partial) 477,694 906,607 45,897

Rail Lines 28,613 365,572 15,946

Buses / P2P 305,987 1,826,670 80,543

Total 1,170,750 3,895,873 202,492

No. of Passengers Pass.Km Pass.Hour

Fx/AUV (Original) 173,327 760,258 53,690M.Jeepney/ Trad.Jeepney 822,610 1,252,207 105,361

Rail Lines 47,863 602,383 26,378

Buses 350,745 1,495,562 123,175

Total 1,394,545 4,110,411 308,604

Pre-COVID Public Transport System

Initial Results

Rationalized bus routes with EDSA Carousel

Proposed Web-like Bus Network Design

Passenger Trip Demand (50%) = 424,616

Mean no. of transfers = 3.28

Mean no. of transfers = 2.76

Mean no. of transfers = 2.91

1.69

2.01

2.09

2.46

3.14

3.30

3.58

3.60

3.79

4.02

4.06

4.08

4.10

0.00 0.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50

Private Car

Personal Bicycle

Private Motorcycle

Walking

Tricycle/Pedicab

Grab Car/Grab Taxi/Regular Taxi

P2P

Motorcycle Taxi

Grab Share

Jeepney

Bus

FX/UV Express

Rail (LRT/MRT/PNR)

Weighted AverageMID-VALUE

Question: Whether you use these transport modes or not, how likely would you or the user contract COVID-19? [Rate: 5 (Extremely likely) to 1 (Extremely unlikely)]

Note: Users are assumed to be using masks, observing social distancing measures, etc.

(3) Online Survey on Covid-19 and Commuting

Question: What are the factors that hinder you from using a bicycle for your usual trips in Metro Manila? (Select all that applies)

Choices% of Responses

(N = 151)I think bicycles are expensive 4.64I do not know how to use a bike 20.53Others (Far destination, air pollution, with medical condition, carry many things) 28.48I am comfortable and satisfied with my current travel arrangement 32.45I currently do not own a bike 40.40I need a place to shower after cycling 43.05The weather condition in Metro Manila is not cycling friendly 57.62I think cycling is unsafe (prone to accidents) 60.93There are not many cycling facilities in Metro Manila (bike lanes, parking, etc.) 64.24

• Majority will use a bicycle if enough cycling facilities are in place.

(4) Cycling as a Transit Option

Policy scenarios on cyclingWeighted Average

A bike-share program (sharing of bicycles at certain areas for a small charge of for free) 1.97Police presence near bike lanes/facilities 2.24Allowing bicycles inside public transportation 2.25Allocate more parking spaces for bicycles (ex. Dedicate bicycle only parking) 2.39Provide shower and locker facilities for cyclists at work office 2.40A dedicated and separate bike lane on major roads and away from sidewalks (with signages, markings, and physical barriers) 2.45Clear sidewalks and ban on-street parking to make space for cyclists 2.45Making some local roads as bicycle- and pedestrian-only streets (ban motorized transport) 2.46

Question: If the government would propose different policies related to cycling, will you consider integrating cycling into your usual trips in Metro Manila?

Rating:1 - Never (I will not use a bike at all)2 - Sometimes (I will combine cycling in my trip: Ex. Public transport + Bike)3 - Always (I will completely shift to a bike for this trip)

• Majority of the answers will be integrating cycling in their travel in Metro Manila

For further investigation…

1 Combine the analysis of the actual processing rate of vehicles at checkpoints to estimate the number of personnel needed per type of checkpoint.

2 To use the actual data gathered including waiting time from the current operation of buses along the rationalized routes and EDSA Carousel to improve the modeling and analysis.

3 The online survey is still ongoing, and we hope to gather more samples for a more robust analysis of results.

Thank you for your kind attention!

E-mail: alexis.fillone@dlsu.edu.ph