1 / 43

TRANSMILENIO

TRANSMILENIO. ENRIQUE LILLO EMME/2 UGM May 2002. Bogotá. 7 million people Mean annual population growth of 4,5 % over the last 10 years 25 % of Colombian GDP US$ 3 300 GDP per Capita. Transport indicators. 1 million automobiles moving 19% of the population

raya-hutchinson
Télécharger la présentation

TRANSMILENIO

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. TRANSMILENIO ENRIQUE LILLO EMME/2 UGM May 2002

  2. Bogotá • 7 million people • Mean annual population growth of4,5 % over the last 10 years • 25 % of Colombian GDP • US$ 3 300 GDP per Capita

  3. Transport indicators • 1 million automobiles moving 19% of the population • 30 000 buses moving 72% of the population • Mean bus speed during peak hour: 7 km/hr • Approximately 650 bus lines • Approximately 22 000 registered buses • On average a transit rider spent 2 hours and 20 minutes in transport per day

  4. Public Transport: The Vehicles Bus Corriente 26% 65 passengers Year: < 90 Bta Ejecutiva 33% 30 passengers Years: 75 - 92 Bus Intermedio 12% 68 passengers Year: > 91 Colectivos 16 % 15 passengers All years Bus Ejecutivo 9 % 72 passengers All Years Bta. Ejecutiva 4 % 30 passengers Year: 93 > Source: STT 1998

  5. Public Transport: The Bus Network

  6. Demand for Public Transport: Daily Pattern

  7. Demand for Public Transport: Socio-economic Strata

  8. Demand for Public Transport : Travel Distance

  9. Demand for Public Transport: Number of Transfers

  10. Demand for Public Transport: Passenger Load Figures correspond to the heaviest load per direction during the a.m. peak hour Source: From passenger counts, April 1999

  11. Transmilenio: Concept • INFRASTRUCTURE • Bus Only Lanes • Transfer Stations • Bus Stations • BUS LINES • Trunk Routes • Feeder Lines • New Transit Agency • New Public Transport Providers • Fare Collection System • Remote Control System • New Vehicles

  12. Transmilenio: Main Corridors

  13. Transmilenio: Stations • Transfer Stations: • Main : Located at the end of the main corridors • Intermediate: Located along any of the main corridors

  14. Transmilenio : Stations • Regular Stations: • Boarding and Alighting of Passengers • Transfers between trunk lines • Located along the main corridors

  15. Transmilenio: Feeder Zones

  16. Feeder Line Transfer Station CBD Bus Stop Feeder Zobe Transmilenio: Feeder – Trunk Interaction

  17. Transmilenio: Feeder – Trunk Interaction Feeder 2 Feeder 1 COMMON SPACE FARE INTEGRATION Trunk Route

  18. Bus Operations: Formation of bus queues in stations • r= saturation degree = Demand Rate / Service Rate • Queue Length L = 0.7*r2/(1-r)

  19. Bus Operations: Operational Parameters • x = time in station / available time x = frequency *(time per bus)/ 3600 example f = 100 veh/h, t = 30 sec x = 30*100 / 3600 = 0.83 • fm= Maximum Frequency Maximum x = 0,4 0,4=fm * t /3600 fm=1440 / t • C= Operational Capacity C= passengers / hr C = fm * Bus Capacity = 1440 * Bus Capacity / t

  20. phase oxford street metro SP approach sec 5 10 open doors sec 2 2 board. and alight. sec 48 25 close doors sec 2 5 resume route sec 2 10 total sec 59 52 fm Veh/h 24 33 bus capacity pas/veh 70 1700 Op. capacity Pas/h 1708 56100 Bus Operations: Dwelling Time • Tp = to * tp * np • to: bus manoeuvring + door operations time • tp: time per passenger • np:number of passengers = bus capacity * R • R: loading factor

  21. Operational Scheme Bus cap. to tp Operational capacity pas sec sec pas/h veh/h van 15 10 3 1.137 76 minibus 35 11 3 1.575 45 bus 70 12 3 1.867 27 articulated - fare inside 160 13 1.5 3.777 24 Bi-articulated - fare inside 240 14 1.5 4.019 17 Articulated – at grade boarding 160 13 1 5.120 32 Bi- articulated – at g. b. 240 14 1 5.574 23 Articulated – at g. b. + fare outside 160 13 0.33 9.779 61 Bi-articulated at g.b. + fare outside 240 14 0.3 12.169 51 Bus Operations: Operational Capacity • C=1440/(to / bus capacity +tp*R) Single stop, one vehicle

  22. Bus Operations: Capacity as a function of R (demand)

  23. Bus Operations: Speed and Frequency

  24. Bus Operations: Fleet size and Frequency

  25. Bus Operations: Alternative 1 - Convoys

  26. Bus Operations: Alternative 2 – Differentiated Stops • Segregated bus stops by destination • Local and Express Buses using two lanes per direction in the bus corridors Platform A Platform B

  27. Bus Operations: Station Design in Avenida Caracas

  28. Strategic Modelling: Objectives • Forecast the demand • Describe the riders • Provide flexibility for simulation • Create appropriate interface with operational design • Provide functional and economic indicators • Create and model that can be updated

  29. Strategic Modelling : Overall Design Transmilenio Service Attributes Transmilenio Demand Transmilenio Routes Transmilenio Riders Revenue Sharing Revenue Calculation

  30. The Demand: Surveys and Counts • Public Transport Passenger and Vehicle Counts (250 000 records) • Boarding and Alighting (20 000 records) • Origin Destination Surveys on board ( 66 000 records) • Public Transport Users Counts in bus stops ( 3 000 records) • Traffic Counts at major intersections • Stated Preferences (1 989 interviews)

  31. Spatial Distribution of the Demand • Destinations • Origins

  32. Analysis Zones 635 Zones: 606 Inside the study area and 29 outside

  33. EMME/2 Model • 635 zones • 1904 nodes • 8509 links • 6 modes • 400 public transport lines

  34. Value of Time • Value of Time Estimated from SP survey

  35. Results (1)

  36. Results (2)

  37. Results(3)

  38. Results (4)

  39. Results(5)

  40. Sensibility Analysis: Fare and Competition • Financial Equilibrium: $ 750 • 10% increase in fare creates a 10% reduction in demand • With strong competition the equilibrium point is 15% higherand the demand drops 25% Weak Competition Strong Competition

  41. Sensibility Analysis: Speed and Competition • 5 km/hr less creates a 20% demand reduction • With strong competition the demand drops 70 % Weak Competition Strong Competition

  42. Most Common modelling errors (1) • OD Matrices • Obtained from household surveys • Zoning detail is not appropriate for modelling purposes • Lack of information • Automatic adjustments • Market segmentation • Market segmentation criteria • Not enough segments • Wrong Models • Fare system • Different Users • Erroneous simulation of pedestrian access • “ Slow Models”

  43. Most Common modelling errors (2) • Perception of the new system • Commercial Speed • “New system” Effect • Some costs are not truly evaluated ( waiting time, walking time, etc.) • Competition • Fare • Level of Service • Changes in mobility patterns • Peak Hour behaviour • Changes in Land Use

More Related