Post on 08-Feb-2021
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