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TRANSPORT FOR THE POOR: THE CASE OF METRO MANILA DR. PRIMITIVO C. CAL Former Professor, School of Urban & Regional Planning, University of the Philippines.

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Presentation on theme: "TRANSPORT FOR THE POOR: THE CASE OF METRO MANILA DR. PRIMITIVO C. CAL Former Professor, School of Urban & Regional Planning, University of the Philippines."— Presentation transcript:

1 TRANSPORT FOR THE POOR: THE CASE OF METRO MANILA DR. PRIMITIVO C. CAL Former Professor, School of Urban & Regional Planning, University of the Philippines & Former President, Eastern Asia Society for Transportation Studies

2 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

3 MAP OF THE PHILIPPINES Metro Manila

4 CHARACTERISTICS: Land Area: 636 sq.km. Population: 10.8 (2005) Per capita Income: $1,200 pa (2003) % of Poor Families (4.8%)

5 R- 1 R- 2 R- 3 C- 5 C- 4 C- 1 C- 2 C- 5 C- 4 C- 3 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

6 3/12/2008 3:23 PM REP/RAIL TPD 11 MRT8 Legend: Line 1 Line 2 Line 3 Line 4 Line 5 Line 6 Line 7 PNR Southrail PNR Northrail RAIL NETWORK

7 Tricycles: 57,720 (2008) Pedicabs PUBLIC TRANSPORT

8 Jeepneys: 58,215 (2008) Buses: 5,988 (2008) PUBLIC TRANSPORT

9 AUV Express: 9,606 (2008) Taxi: 22,345 (2008) PUBLIC TRANSPORT

10 Source: MMUTIS Data Traffic Demand by Mode of Transportation in Metro Manila, 1996

11 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

12

13 Impact on the Poor Level of Service Economic Impact Social Impact Environmental/Safety Impact

14 Public Transport Hierarchy Jeepney FX Tamaraw Taxi Tricycle Pedicab Source: MMUTIS Data

15 Bus Minibus Philippine National Railway Source: MMUTIS Data

16 Light Rail Transit Line 1 Metro Rail Transit 3 Source: MMUTIS Data

17 TRANSPORT TERMINALS LEGEND Jeepney Service Coverage Jeepney Terminal

18 Waiting Time of Bus Passengers Source: D. L. Guariño, Master Thesis, Consolidation of Bus Companies in Metro Manila

19 Attitude on Bus Level of Service Source: D. L. Guariño, Master Thesis, Consolidation of Bus Companies in Metro Manila

20 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 m §AUV : P7 min ($0.03/km) $1.00=P47.00

21 Perception on Fare Source: D. L. Guariño, Master Thesis, Consolidation of Bus Companies in Metro Manila

22 Willingness to Pay for More Source: D. L. Guariño, Master Thesis, Consolidation of Bus Companies in Metro Manila

23 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 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

24 Type of PUVEst. No. of Units No. of persons/unit Est. No. Employed Bus 5, ,575 Jeepney 58, ,858 Tricycle 57,720 1 Taxi 22, ,862 AUV 9,606 1 TOTAL 205,621 EMPLOYMENT GENERATION

25 Time Spent by Truck Drivers on Sleeping Source: J. Punzalan, Master Thesis, The Impact of Truck Ban on the Trucking Industry in Metro Manila

26 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

27 Concentration of Total Suspended Particulates (TSP)

28 Philippines MetroManila Number% Area, sq.km. (x1000) Population (million) Roads, km. (x1000) Vehicle Registration(million) Driver's License(million) Number of Driver Apprehensions(x1000) Fatalities % of nighttime accidents3060 (fatal) 40 (non-fatal) Statistics Source: Sigua, R.G.(2004), Philippine Road Safety Workshop

29 Place of Occurrence (2001)Vehicle Involvement (2001) Source: Sigua, R.G(2004), Philippine Road Safety Workshop

30 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

31 THANK YOU


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