IMPACT OF METRO MANILA TRANSPORT ON THE POOR Source: MMDA Source: MMDA Source: MMDA Dr. Primitivo C. Cal Professor School of Urban and Regional Planning University of the Philippines and President Eastern Asia Society for Transportation Studies (EASTS)
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Source: MMDA - World Banksiteresources.worldbank.org/INTURBANTRANSPORT/Resources/cal_1.pdf · Dr. Primitivo C. Cal Source: MMUTIS Data Socio-economic Profile, 1996 Item Metro Manila
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IMPACT OF METRO MANILA TRANSPORT ON THE POOR
Source: MMDA Source: MMDA
Source: MMDA
Dr. Primitivo C. CalProfessor
School of Urban and Regional PlanningUniversity of the Philippines
and
PresidentEastern Asia Society for Transportation
Studies (EASTS)
Dr. Primitivo C. Cal
• Geographic and Socio-economic profile of Metro Manila
• Metro Manila Transportation System• Impact on the Poor
- Mobility and Level of Service- Economic Impact- Social Impact- Environmental/Safety Impact
• Conclusion
OUTLINE OF PRESENTATION
Dr. Primitivo C. Cal
MAP OF THE PHILIPPINES
Metro Manila
Dr. Primitivo C. CalSource: MMUTIS Data
Socio-economic Profile, 1996Item Metro Manila Adjoining
MunicipalitiesMMUTIS Study
AreaPopulation: Population: Population: Population: 000No. of Households: 000Ave. Household Size
Source: MMUTIS Person Trip Survey and various official statistics.Note: Employment and School Attendance were taken at the workplace andin school, respectively.
Source: Land Transportation Office1/ A utility vehicle is a small van-type vehicle commonly used for either delivery ofcommodities or as passenger shuttle (e.g. school bus, company bus, jeepney, etc).
Dr. Primitivo C. Cal
Existing Traffic Management Measures in Metro Manila
Population (000) 9,454 8,126 9,175 1,344 2,930 11,772
Source: Various reports and publications
Source: MMUTIS Data
Dr. Primitivo C. CalSource: MMUTIS Data
Traffic Demand by Mode of Transportation in Metro Manila, 1996
Person Trips Vehicle TripsMode
No. (000) (%)
AverageOccupancy No. (000) (% vehicle) (% PCU 2/)
MotorcycleCar/Jeep+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
TricycleJeepneyBusLRTPNR
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
Dr. Primitivo C. CalSource: MMUTIS Data
Supply Characteristics of Road-based Public TransportationM ode Item Service Area 1983 1996 996/1983
M M IntracityM M Intracity 1 /
150 47
89 61
0 .59 1 .30
N o. of R outes
Total 197 150 0 .76
Inside M MA djoin ing A rea
121 n .a.
35 23
0 .29 -
N o. of Term inals
Total n .a. 58 -
M M IntracityM M Intracity 1 /
4 ,4001,500
9 ,600 2 /
3 ,300 2 /
2 .18 2 .20
B us
Estim ated N o. ofO perating U nits
Total 5 ,900 12,900 2 .19
M M IntracityM M Intracity 1 /
640 140
399 91
0 .62 0 .88
N o. of R outes
Total 744 490 0 .66
Inside M MA djoin ing A rea
184 n.a .
210 113
1 .14 -
N o. of Term inals
Total n .a. 323 -
M M IntracityM M Intracity 1 /
29,300 6 ,300
57,400 2 /
12 ,300 2 /
2.18 2.20
Jeepney
Estim ated N o. ofO perating U nits
Total 35,000 69,700 1 .96
Inside M MA djoin ing A rea
276 n .a.
640 551
2 .32 -
N o. of Term inals
Total n .a. 1 ,191 -
M M IntracityM M Intracioty
17,000 n.a .
60,700 56,600
3 .57 -
Tricycle
Estim ated N o. ofO perating U nits
Total n .a. 117,300 -
So urce: 1983 JU M S U T and 1996 M M U T IS1/ B etw een M etro M anila and ad jo in ing areas ( insid e the S tudy A rea o nly)2 / Prelim inary est im ate
Dr. Primitivo C. CalSource: MMUTIS Data
TRANSPORT TERMINALS
LEGEND
Jeepney Service Coverage
Jeepney Terminal
Dr. Primitivo C. Cal
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”
Dr. Primitivo C. Cal
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”
Dr. Primitivo C. Cal
EMPLOYMENT GENERATION
Type of PublicTransport
EstimatedNo. of Units
Estimated No. ofPeople Employedper Unit/Vehicle
Estimated Total No.of People Employedper type or Public
Transport
BUS 13,728 2.1 28,828.8
JEEPNEY 73,804 1.2 88,564.8
TRICYCLE 125,800 1 125,800.0
TAXI 24,607 2.5 61,517.5
TRUCKS/TRAILERS
62,656 2.1 31,577.6
UTILITYVEHICLE, E.G.PASSENGERSHUTTLE
20,552 1 20,552
TOTAL 321,147 9.9 456,840.7
Source: Based on 1983 JUMSUT, 1996 MMUTIS and 1995 LTO Report
Dr. Primitivo C. Cal
FARE RATES (METRO MANILA)PE R TY PE O F PA S SEN G E RPE R TY PE O F PA S SEN G E RPE R TY PE O F PA S SEN G E RPE R TY PE O F PA S SEN G E RTY PES O F PU B LICTY PES O F PU B LICTY PES O F PU B LICTY PES O F PU B LIC
TR A N SPO R TTR A N SPO R TTR A N SPO R TTR A N SPO R TPE R D ISTA N C EPE R D ISTA N C EPE R D ISTA N C EPE R D ISTA N C E
TR A V ELEDTR A V ELEDTR A V ELEDTR A V ELED R E G U LA RR E G U LA RR E G U LA RR E G U LA R STU D EN TSTU D EN TSTU D EN TSTU D EN T
O R D IN A R Y B U S
First Four (4 ) km s.Per K m . If m orethan four (4 )/fiv e(5 ) km
P 3 .00P 0 .50
P 2 .50P 0 .43
JEEPN EYFirst five (5 ) km s.Per km . If m orethan five (5 ) km s
P 4 .00P 0 .60
P 3 .25P 0 .50
TA X I
F lagdow n (1 st 500m eters)Every succeed ing(300 m eters )W aiting T im e
P 25 .00
P 2 .00
P 2 .00 /m inute
M R T (M etro R a il T ransit)
F rom N orth A ve –Ta ft A venue
P 9 .00 p lus P 0 .50 fo r every sta tion ,ch ild ren be low 3 feet a re free o fcharge
LR T (L ight R a il T ransit)
F rom M onum ento -B ac laran
P 12 .00 fo r a ll p assengersExcept: Sen io r C itizens an d thed isabled , they are g iven 30 %discount & ch ild ren under 3 f33t a refree o f charge
Source: LTFR B Pub lished data on H istory o f Fare Increases, LR TA D ata ,and M R T D ata
C onversion :$1 .00= P 50 .00
Dr. Primitivo C. Cal
Perception on Fare
Just67.59%
Not Just6.08%
No Comment26.33%
Source: D. L. Guariño, Master Thesis, “Consolidation of Bus Companies in Metro Manila”
Dr. Primitivo C. Cal
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”
Dr. Primitivo C. Cal
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
30Sun
days
During
OffCatn
ap3h
rs or
less
4 hrs
5 hrs
6 hrs
7 hrs
8 hrs
>8 hrs
Perc
ent
Dr. Primitivo C. Cal
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
Perc
ent
Dr. Primitivo C. Cal
Philippine Guideline on Ambient Air Quality of Pollutants (TSP and PM10)
Pollutants µµµµg/m3 Short-termAveraging Time
µµµµg/m3 Long-termAveraging Time
TSPPM-10
230150
2424
9060
1 yr.1 yr.
PM10 Concentration (µµµµg/m3) at Selected Sites
Source: MMUTIS Data
PM10 ConcentrationStation Street Average Max. 24 hr.
ObservationPeriod
(1991-1992)
No. ofObservation
Ermita, Manila Taft Avenue 144 258 Aug-Feb 62
ADB, EDSA EDSA 219 321 Aug-Feb 47
DENR-NCR Quezon Ave. 227 321 Oct-Feb 26
San Lorenzo 174 206 Jan-Feb 10
Monumento EDSA 198 241 Feb. 92 5
Source: ADB/EMB ProjectPM = Particulate Matterµµµµg/m3 = Microgram/ m3 = weight of particulate matter in air
Source: RG5 Members: C. M. Gardon, S. M. Cruz, R. L. Angeles, R. M. Dipol, N. C. Tiglao, R. S. Galiza, G. L. Labastillaand F. Abe, “Initial Development of a Traffic Accident Information System Using Geographic Information (GIS), presented during the TSSP 6th Conference
Accident by Type and Severity
Fatal
Serious
Minor
11
3500
3000
2500
2000
1500
1000
500
012 117
2946
Accident Severity
PropertyDamage
All
Acc
iden
ts
Dr. Primitivo C. Cal
Source: RG5 Members: C. M. Gardon, S. M. Cruz, R. L. Angeles, R. M. Dipol, N. C. Tiglao, R. S. Galiza, G. L.Labastilla and F. Abe, “Initial Development of a Traffic Accident Information System Using Geographic Information (GIS), presented during the TSSP 6th Conference
0
500
1000
1500
2000
2500
Bic
ycle
Mot
or C
ycle
Car
Bus
Truc
k (A
rctic
)
Ani
mal
Vehicle Type Involved in Accidents
Dr. Primitivo C. Cal
Source: RG5 Members: C. M. Gardon, S. M. Cruz, R. L. Angeles, R. M. Dipol, N. C. Tiglao, R. S. Galiza, G. L.Labastilla and F. Abe, “Initial Development of a Traffic Accident Information System Using Geographic Information (GIS), presented during the TSSP 6th Conference
Casualty Distribution by Users
DriversPassengersPedestrians
Dr. Primitivo C. Cal
CONCLUSION
• The poor is relatively well served by the public transport system
• 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.
• In general, transportation levels of service is below acceptable levels: improvements are urgently needed.