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TRANSPORT FOR THE POOR: THE CASE OF METRO MANILA
DR. PRIMITIVO C. CALFormer Professor, School of Urban & Regional Planning,
University of the Philippines
&
Former President, Eastern Asia Society for Transportation Studies
• Geographic and Socio-economic profile of
Metro Manila
• Metro Manila Transportation System
• The poor as transport users
• The poor as transport providers
• Conclusion
OUTLINE OF PRESENTATION
MAP OF THE PHILIPPINES
Metro Manila
CHARACTERISTICS:
• Land Area: 636 sq.km.• Population: 10.8 (2005)• Per capita Income: $1,200 pa (2003)• % of Poor Families (4.8%)
•R-1
•R-2
•R-3
•C-5
•C-4
•C-1 •C-
2
•C-5
•C-5
•C-4
•C-4
•C-3
•C-3
•C-6
•C-6
•C-6
•C-6
•R-4
•R-5
•R-6
•R-7
•C-2
•R-10 •R-9
•R-8
Road Map of Metro Manila
•Source: Roads in the Philippines, 2003, Department of Public Works and Highways and Japan International Cooperation Agency
2006 ROAD LENGTHS, km:
Nat. roads - 1,000
Expressway - 37
Local - 2,366
Private - 1,639
Total 5,043
•3/12/2008 3:23 PM•3/12/2008 3:23 PM •REP/RAIL TPD•REP/RAIL TPD •11•11
•MRT8
•Legend:
• Line 1
• Line 2
• Line 3
• Line 4
• Line 5
• Line 6
• Line 7
• PNR Southrail
• PNR Northrail
RAIL NETWORK
Tricycles: 57,720 (2008) Pedicabs
PUBLIC TRANSPORT
Jeepneys: 58,215 (2008) Buses: 5,988 (2008)
PUBLIC TRANSPORT
AUV Express: 9,606 (2008) Taxi: 22,345 (2008)
PUBLIC TRANSPORT
Source: MMUTIS Data
Traffic Demand by Mode of Transportation in Metro Manila, 1996
Person Trips Vehic le TripsMode
No. (000) (%)
AverageOccupancy
No. (000) (% vehic le) (% PCU 2/)
MotorcycleCar/J eep+UV1/
Truck
125 3,289 422
0.7 18.5 2.4
1.1 2.5 2.1
1141,316 201
3.2 37.0 5.7
1.6 37.2 11.4
Private
Subtotal 3,836 21.6 - 1,630 45.8 50.2
TaxiHOV TaxiPrivate Bus
862 226 440
4.9 1.3 2.5
2.2 4.7 22.3
392 48 20
11.0 1.4 0.6
11.1 1.4 1.1
SemiPublic
Subtotal 1,528 8.6 - 460 12.9 13.6
Tricyc leJ eepneyBusLRTPNR
2,373 6,952 2,653 409 6
12.4 39.1 14.9 2.3 0.0
2.5 15.1 46.5 - -
949 460 57 - -
26.7 12.9 1.6 - -
13.4 19.5 3.2 - -
Public
Subtotal 12,394 69.8 - 1,467 41.2 36.2
Total 17,758 100.0 - 3,556 100.0 100.0
Source: MMUTIS Person Trip Survey1/ UV: utility vehicle2/PCU: (Passenger Car Unit): conversion factor of different sizes of vehicles in terms of passenger car size for comparison
Existing Traffic Management Measures in Metro Manila
• Urban Traffic Control
• Traffic Restraint
• U-turn schemes
• Reversible Lane
• Bus Stop Segregation Scheme
• Bus Only Lanes
• Yellow Box
• Others
Impact on the Poor
• Level of Service
• Economic Impact
• Social Impact
• Environmental/Safety Impact
Public Transport Hierarchy
Jeepney
FX Tamaraw
Taxi
Tricycle
Pedicab
Source: MMUTIS Data
Bus
Minibus
Philippine National Railway
Source: MMUTIS Data
Light Rail Transit Line 1
Metro Rail Transit 3
Source: MMUTIS Data
Source: MMUTIS Data
TRANSPORT TERMINALS
LEGEND
Jeepney Service Coverage
Jeepney Terminal
Waiting Time of Bus Passengers
0
50
100
150
200
250
Less than5 min.
5-10 min. 11-15min.
Waiting Time
PreferredWaiting Time
Source: D. L. Guariño, Master Thesis, “Consolidation of Bus Companies in Metro Manila”
Attitude on Bus Level of Service
Satisfied Not SatisfiedLevel of Service
Frequency Rank Frequency Rank
Comfort and Safety 210 1 33 7
Waiting Time 165 2 7 6
Travel Time 160 3 7 5
Driving Behavior 135 4 144 3
Loading Capacity 121 5 208 1
Cleanliness 112 6 104 4
Attitude ofConductors/Inspectors
63 7 65 2
Source: D. L. Guariño, Master Thesis, “Consolidation of Bus Companies in Metro Manila”
FARE RATES
LRT/MRT: P10-15 ($0.02/km)Bus : P9 min. ($0.04/km)Jeepney : P7.50 min. ($0.03/km)Taxi : P30 Flagdown plus P2.50/300 mAUV : P7 min ($0.03/km)
$1.00=P47.00
Perception on Fare
Just67.59%
Not Just6.08%
No Comment26.33%
Source: D. L. Guariño, Master Thesis, “Consolidation of Bus Companies in Metro Manila”
Willingness to Pay for More
Agree46.08%
Disagree35.70%
No Comment18.23%
Source: D. L. Guariño, Master Thesis, “Consolidation of Bus Companies in Metro Manila”
Economic Impact of Congestion in Metro Manila
100 billion pesos per year (year 1996 pesos) - a conservative estimate prepared by NCTS for NEDA and LEDAC (Legislative-Executive Development Advisory Council (LEDAC) in 2000.
This represents value-of-time costs only due to delay, calculated based on 50% of average hourly income across different occupation classes - classes considered were Gov’t Officials, Professionals, Technicians, Clerical Workers and Services workers based on MMUTIS classifications
Type of PUV Est. No. of Units
No. of persons/unit
Est. No. Employed
Bus 5,988 2.1 12,575
Jeepney 58,215 1.2 69,858
Tricycle 57,720 1 57,720
Taxi 22,345 2.5 55,862
AUV 9,606 1 9,606
TOTAL 205,621
EMPLOYMENT GENERATION
Time Spent by Truck Drivers on Sleeping
Source: J. Punzalan, Master Thesis, “The Impact of Truck Ban on the Trucking Industry in Metro Manila”
0
5
10
15
20
25
30
Sunda
ys
Durin
gOff
Catnap
3hrs
or le
ss4 h
rs5 h
rs6 h
rs7 h
rs8 h
rs
>8 hrs
Per
cent
Time Spent by Truck Drivers on Family/Personal Activities
Source: J. Punzalan, Master Thesis, “The Impact of Truck Ban on the Trucking Industry in Metro Manila”
0
10
20
30
40
50
NoTime 1-2hr/da 3-6hr/da Sundays
Per
cen
t
Source: Environment Management Bureau National Capital Region Department of Environment and Natural Resources, Partnership for Clean Air
Concentration of Total Suspended Particulates (TSP)
Philippines MetroManila
Number %
Area, sq.km. (x1000) 294.55 0.636 0.22
Population (million) 79.48 10.76 13.5
Roads, km. (x1000) 161 4.8 3.0
Vehicle Registration(million)
3.98 1.33 33.4
Driver's License(million) 1.93 0.57 29.6
Number of Driver Apprehensions(x1000)
612 162 26.5
Fatalities 714 240 33.6
% of nighttime accidents 30 60 (fatal)
40 (non-fatal)
---
2002 Statistics
Source: Sigua, R.G.(2004), Philippine Road Safety Workshop
39%
36%
8%
11%
4% 2%
National Road
Expressway
Provincial Road
City Road
Municipal Road
Barangay Road
Place of Occurrence (2001)
0.05.0
10.015.020.025.030.035.040.045.050.0
Bus Truck Car Jeep Tricycle Motorcycle
Vehicle Type
% In
volv
emen
t
Vehicle Involvement (2001)
Source: Sigua, R.G(2004), Philippine Road Safety Workshop
CONCLUSION
• The poor is relatively well served by the public transport system but level of service affected by traffic congestion
• Fares are affordable but LRT operations highly subsidized
• The transport system provides significant number of jobs for the poor
• The poor is exposed to air pollution and other health hazards particularly the drivers and crew of public transport vehicles
• Poor road safety
THANK YOU