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OMU - Observatorio de Movilidad Urbana 2014
Eduardo A. Vasconcellos PUC CHILE WebSeminar 09/26/ 2017
OMU- Observatorio de Movilidad Urbana Datos de 2014
OMU – General information
Urban areas 29
Countries 12
Inhabitants 150,...
Available data
Social population
Infrastructure roads, traffic signals and bike+ bus priorities
Vehicles quantity, value, ...
Public Transport
Institutional organization and regulation
Vehicles, capacity, energy and emissions
Fares, discounts and s...
Structure of the analysis (“Mobility metabolism”)
Individual expenses per mode
Consumptions Travel time per mode
Distance ...
32%
42%
26%
Reparto modal de viajes, 2014
TI TC A pie
Million Trips/day: Foot/bike: 75 Private: 93 Public: 120
Individual ...
Trips per day per type of vehicle
Auto: 68 million
Bus: 64 million
OMU- Observatorio de Movilidad Urbana Datos de 2014
Aut...
0
5.000.000
10.000.000
15.000.000
20.000.000
25.000.000
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
Área...
0,00
0,20
0,40
0,60
0,80
1,00
1,20
1,40
USD/viaje
Costodirecto de viaje de 7 km, 2014
Automóvil Motocicleta Autobús
OMU- O...
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
Barranquilla
B.Horizonte
Bogotá
Brasília
BuenosAires
Cali
Caracas
Cd.México
Curitiba...
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
B. Horizonte
Brasília
Buenos Aires
Caracas
Ciud Mexico
Montevideo
Panamá
Porto...
Mode % space1 % time
Auto/taxi 75.4 27.3
Motorcycles 12.5 2.7
Buses 11.6 46.7
Rieles 0.5 11.3
1: km run by vehicles
Space ...
53,2
15,3
9,5
7,6
5,8
3,6 2,9 2,5 1,7 0,2
0,0
10,0
20,0
30,0
40,0
50,0
60,0
Auto Ómnibus
Estandar
Micro Comb/van Taxi Moto...
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Automóvil
Motocicleta
Taxi
Taxicolectivo
Jeep
Combi/van
Microbús
Autobús
Emisi...
43,0
17,4
11,4 10,9
7,5 6,7
2,4
0,5
0,0
5,0
10,0
15,0
20,0
25,0
30,0
35,0
40,0
45,0
50,0
Autos Motos Taxis Autobús Taxis
c...
3587
2347
1276
367
0
500
1000
1500
2000
2500
3000
3500
4000
peatones motos autos ciclistas
Defunciones
Defuncionesen el tr...
25%
13%
1%
3%
56%
2%
Mobility Infrastructure and vehicle economic value
(%)
Sistema vial Rieles Carriles y BRT Vehículos T...
0
100
200
300
400
500
600
700
800
900
Barranquilla
B.Horizonte
Bogotá
Brasília
BuenosAires
Cali
Caracas
Cd.México
Curitiba...
Fleet increase, private vehicles
2007 2014 Increase %
Autos 24.690.850 35.264.511 10.6 million 48
Motos 2.832.736 7.168.99...
1044
1313 1430 1497 1596
1935 2058
3223
0
1000
2000
3000
4000
2007 2008 2009 2010 2011 2012 2013 2014
Kmdeprioridad
Priori...
Main challenges to cities
1. Annual exponential increase: 4% autos and 13% motorcycles
2. Increasing congestion and pollut...
OMU- Observatorio de Movilidad Urbana Datos de 2014
OMU Latin AmericanObservatory
http://scioteca.caf.com/discover (Spanis...
www.caf.com
Eduardo Vasconcellos - Urban mobility in Latin America –reflexions on the 2014 report of  the OMU – Latin America Mobility...
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Eduardo Vasconcellos - Urban mobility in Latin America –reflexions on the 2014 report of the OMU – Latin America Mobility Observatory, from CAF – Banco de Desarrollo de America Latina

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Eduardo Vasconcellos - Urban mobility in Latin America –reflexions on the 2014 report of the OMU – Latin America Mobility Observatory, from CAF – Banco de Desarrollo de America Latina

  1. 1. OMU - Observatorio de Movilidad Urbana 2014 Eduardo A. Vasconcellos PUC CHILE WebSeminar 09/26/ 2017
  2. 2. OMU- Observatorio de Movilidad Urbana Datos de 2014 OMU – General information Urban areas 29 Countries 12 Inhabitants 150,176,953 Fleet Automobiles 35,264,511 Motorcycles 7,168,997 Buses 125,459 Micro/vans 253,248 Trips/day 288 million (1.9/inhab.)
  3. 3. Available data Social population Infrastructure roads, traffic signals and bike+ bus priorities Vehicles quantity, value, energy, taxes Economy minimum wage, GNP, exchange rates (USD) Mobility trips per mode and energy OMU- Observatorio de Movilidad Urbana Datos de 2014
  4. 4. Public Transport Institutional organization and regulation Vehicles, capacity, energy and emissions Fares, discounts and subsidies Workers Traffic management Special Operations (license plates/reversible lanes) Road safety OMU- Observatorio de Movilidad Urbana Datos de 2014
  5. 5. Structure of the analysis (“Mobility metabolism”) Individual expenses per mode Consumptions Travel time per mode Distance run per mode Mobility Energy used per mode Impacts Emissions per mode Fatalities per mode OMU- Observatorio de Movilidad Urbana Datos de 2014
  6. 6. 32% 42% 26% Reparto modal de viajes, 2014 TI TC A pie Million Trips/day: Foot/bike: 75 Private: 93 Public: 120 Individual mobility rate: 1.9 trips/day (range:1.04 – 2.29) OMU- Observatorio de Movilidad Urbana Datos de 2014 Modal share by main mode
  7. 7. Trips per day per type of vehicle Auto: 68 million Bus: 64 million OMU- Observatorio de Movilidad Urbana Datos de 2014 Auto moto taxis bike moto-taxi shared vans micro bus large rail metro taxis bus
  8. 8. 0 5.000.000 10.000.000 15.000.000 20.000.000 25.000.000 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Áreaaocupada(M2) Automóviles Ómnibuses Hourly road space use in a large corridor in São Paulo OMU- Observatorio de Movilidad Urbana Datos de 2014 Use of road space in corridors Private 85% Public 15%
  9. 9. 0,00 0,20 0,40 0,60 0,80 1,00 1,20 1,40 USD/viaje Costodirecto de viaje de 7 km, 2014 Automóvil Motocicleta Autobús OMU- Observatorio de Movilidad Urbana Datos de 2014 Conclusion: Cost of moto << bus Cost of auto is similar to bus Question: who will get off autos and motos to use buses? Relative out-of-pocket cost of using 3 available modes, 7 km-trip Costs : Buses: full fare Auto and moto: fuel
  10. 10. 0,0 5,0 10,0 15,0 20,0 25,0 30,0 35,0 Barranquilla B.Horizonte Bogotá Brasília BuenosAires Cali Caracas Cd.México Curitiba Florianópolis Guadalajara León Lima Manaus Medellín Montería Montevideo Panamá Pereira PortoAlegre Quito Recife R.Janeiro Rosario Salvador SanJosé S.C.Sierra Santiago SãoPaulo Pesode50tarifas/SM(%) Pesode 50 tarifasde ómnibus sobre el salario mínimo,2007-2014 2007 2014 OMU- Observatorio de Movilidad Urbana Datos de 2014 “Ideal rate” = 6% Actual rates: between 10 y 20 Cost of 50 monthly bus fares as compared to minimum wages
  11. 11. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% B. Horizonte Brasília Buenos Aires Caracas Ciud Mexico Montevideo Panamá Porto Alegre Quito Recife Rosario Santiago São Paulo Áreas con subsidios al transporte colectivo (%), 2014 Subsídios Recaudación Total revenues: USD 22.4 billion Subsidies: USD 6.9 billion (30%) (mostly rail systems) OMU- Observatorio de Movilidad Urbana Datos de 2014 Cities with subsidies to public transport (% of total cost)
  12. 12. Mode % space1 % time Auto/taxi 75.4 27.3 Motorcycles 12.5 2.7 Buses 11.6 46.7 Rieles 0.5 11.3 1: km run by vehicles Space and time use per mode OMU- Observatorio de Movilidad Urbana Datos de 2014
  13. 13. 53,2 15,3 9,5 7,6 5,8 3,6 2,9 2,5 1,7 0,2 0,0 10,0 20,0 30,0 40,0 50,0 60,0 Auto Ómnibus Estandar Micro Comb/van Taxi Moto Metro Artic/Biart Tren Tax colect Consumodeenergía(%) Consumo de energía por tipo de vehículo TOTAL private: 65.8 % public. 4.2% Energy per trip Private 500.6 gep Public 200.9 gep OMU- Observatorio de Movilidad Urbana Datos de 2014 Energy use by type of vehicle (% of total) Auto bus micro van taxi moto metro large bus train shared taxi
  14. 14. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Automóvil Motocicleta Taxi Taxicolectivo Jeep Combi/van Microbús Autobús Emisión(%) CO HC NOx MP10 Emissions of local pollutants per type of vehicle Total Emissions 4.1 thous. ton/day OMU- Observatorio de Movilidad Urbana Datos de 2014 Buses Microbus Vans Jeep Shared taxi Taxi Motorcycle Automobile
  15. 15. 43,0 17,4 11,4 10,9 7,5 6,7 2,4 0,5 0,0 5,0 10,0 15,0 20,0 25,0 30,0 35,0 40,0 45,0 50,0 Autos Motos Taxis Autobús Taxis colectivos Microbús Combi/vans Jeeps EmisióndeCO2(%) Emisión de CO2 por clase de vehículo, 2014 Individual (71,9%) Colectivo (28,1%) Total emissions: 357 thous. tons/day OMU- Observatorio de Movilidad Urbana Datos de 2014 CO2 emissions per vehicle type Autos Motos Taxis Bus Shared taxi Microbus Vans Jeeps
  16. 16. 3587 2347 1276 367 0 500 1000 1500 2000 2500 3000 3500 4000 peatones motos autos ciclistas Defunciones Defuncionesen el tránsito, 2014 (47%) (31%) (17%) (5%) Total : 7,577 0,0 5,0 10,0 15,0 20,0 25,0 Barranquilla B.Horizonte Bogotá Brasília BuenosAires Cali Caracas Cd.México Curitiba Florianópolis Guadalajara León Lima Manaus Medellín Montería Montevideo Panamá Pereira PortoAlegre Quito Recife R.Janeiro Rosario Salvador SanJosé S.C.Sierra Santiago SãoPaulo Road fatalities/100,000 people Average in Europe OMU- Observatorio de Movilidad Urbana Datos de 2014 Road fatalities Pedestrians motos autos cyclists
  17. 17. 25% 13% 1% 3% 56% 2% Mobility Infrastructure and vehicle economic value (%) Sistema vial Rieles Carriles y BRT Vehículos TC Automóviles Motocicletas Total: 864 billion USD OMU- Observatorio de Movilidad Urbana Datos de 2014 Roads rail BRT Public vehicles autos motorcycles
  18. 18. 0 100 200 300 400 500 600 700 800 900 Barranquilla B.Horizonte Bogotá Brasília BuenosAires Cali Caracas Cd.México Curitiba Florianópolis Guadalajara León Lima Manaus Medellín Montería Montevideo Panamá Pereira PortoAlegre Quito Recife R.Janeiro Rosario Salvador SanJosé S.C.Sierra Santiago SãoPaulo Variación2007-14(valor2007=100) Change of minimum wages and bus fares, 2007-14 (2007 values = 100) Sal. Mínimo Tarifa OMU- Observatorio de Movilidad Urbana Datos de 2014 Minimum wage Fare
  19. 19. Fleet increase, private vehicles 2007 2014 Increase % Autos 24.690.850 35.264.511 10.6 million 48 Motos 2.832.736 7.168.997 4.3 million 153 OMU- Observatorio de Movilidad Urbana Datos de 2014
  20. 20. 1044 1313 1430 1497 1596 1935 2058 3223 0 1000 2000 3000 4000 2007 2008 2009 2010 2011 2012 2013 2014 Kmdeprioridad Priority to cyclists (km) 1049 1114 1152 1186 1286 1418 1494 2083 0 500 1000 1500 2000 2500 2007 2008 2009 2010 2011 2012 2013 2014 Kmdeprioridad Priority to buses (km) Rate of increase: 3:1 Rate of increase: 2:1 OMU- Observatorio de Movilidad Urbana Datos de 2014 There is priority in just 1.2% of roads There is priority in just 0.8% of roads
  21. 21. Main challenges to cities 1. Annual exponential increase: 4% autos and 13% motorcycles 2. Increasing congestion and pollution 3. Private transport with high consumption and impacts 4. Week regulation of public transport + low quality 5. Fare costs too high to the average wages 6. High quantity of road fatalities 7. Auto users do not pay for social and environmental costs OMU- Observatorio de Movilidad Urbana Datos de 2014
  22. 22. OMU- Observatorio de Movilidad Urbana Datos de 2014 OMU Latin AmericanObservatory http://scioteca.caf.com/discover (Spanish) Brazilian Observatory http://antp.org.br/sistema-de-informacoes-da-mobilidade/apresentacao.html (Portuguese)
  23. 23. www.caf.com

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