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Measuring road network use with a Totally Disaggregate Approach

Measuring road network use with a Totally Disaggregate Approach. Martin Trépanier Catherine Morency (Robert Chapleau) École Polytechnique de Montréal MADITUC group Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport (CIRRELT)

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Measuring road network use with a Totally Disaggregate Approach

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  1. Measuring road network use with a Totally Disaggregate Approach Martin Trépanier Catherine Morency (Robert Chapleau) École Polytechnique de Montréal MADITUC group Centre interuniversitaire de recherche sur les réseaux d’entreprise, la logistique et le transport (CIRRELT) COST WG2 Meeting – Madrid – May 2007

  2. In this presentation PLAN • MADITUC and the Totally Disaggregate Approach • Household surveys in Montreal • Totally disaggregate trip • Survey information system • MADSTRAT, TDA applied to freight transportation • 1992-3 survey • Road network assignment • Specificities of Household surveys for car use measurement • Bridge use analysis • Vehicle inventories • Parking and activities • Road network use • Perspectives COST MADRID MAY 2007 2

  3. MADITUC and TDA MADITUC & TDA • MADITUC: Modèle d’analyse désagrégée des itinéraires de transport urbain collectif • Developed in the 80s by R. Chapleau • MADITUC is a research group, a suite of software and a paradigm  the Totally Disaggregate Approach • Goal: to have a better understanding of transport planning phenomenon • Methods: • Single pieces of information from household surveys are characterized within trip files (household, person, trip chain, trip) • Information is to be at the best possible level of resolution (no zoning system, individual simulation/validation of paths) • Wide spectrum of applications: transit network resources, financing, socio-demographic analysis, user information, etc. COST MADRID MAY 2007

  4. MAD(strat)2, TDA applied to goodsmovmt. MAD(strat)2 Goods • Greater Montreal Area study in 1992-3 related to Goods and Hazardous Materials movement • Origin-destination survey + counts + inventories • Led to MAD(strat)2(Modèle d’Analyse Désagrégée Stratifié et Stratégique - Stratified and Strategical Disaggregate Analysis Model) • Information system based on Demand, Territory and Network elements • Aggregate statistics on goods movement • Survey validation and simulation software for road itineraries COST MADRID MAY 2007

  5. Basic aggregateresults MAD(strat)2 Goods • About 64 entities (tables) • Very fragmented survey(less than 1% sample) • Methodological limitations(complexity) COST MADRID MAY 2007

  6. Road network Assignment MAD(strat)2 Goods • Small scale network, all-or-nothing assignment of each itinerary • Validation of partial declared itineraries (compared to transit, where itineraries are complete) COST MADRID MAY 2007

  7. Vehicleinventory Vehicle inventory • SAAQ Vehicle database analysis • 100% sampling  universe! For 1993 and 1996 Vehicledatabase Commercialowner Individualowner COST MADRID MAY 2007 Commercialvehicle Individual car Transportation base Home

  8. DISAGGREGATE ANALYSIS Vehicle inventory Postal code  Street block COST MADRID MAY 2007

  9. MotorizationIncrease Vehicle inventory COST MADRID MAY 2007 Evolution - 5% 1 250 000 in 1993 to 1 440 000 in 1996 (+15,2%) ... + 35%

  10. Measuring car use withhouseholdsurvey OD survey • Car use can be derived from specific questions (in the case of car trips): • Which bridge(s) did you travel on to access the islands of Montreal and Laval ? • 15 bridges for Montreal island only • What are the main road link that were used in your trip? • mostly freeways • What was your mode of parking at destination? • parking lot or garage, on street, free, paid by employer, self-paid, monthly pass, etc. • This information is linked with other variables: gender, age, car ownership, trip purpose, trip ends, status, etc. COST MADRID MAY 2007

  11. Bridge use to accessMontrealisland Bridge to Montreal • Several choices • Southbound A25-Louis-H. Lafontaine R116-Jacques-Cartier R112-Victoria A10,15,20-Champlain R138-Honoré-Mercier • Westbound A20-Galipeau A40-Île-aux-Tourtes COST MADRID MAY 2007 • Northbound A13-Louis-Bisson R117-Lachapelle A15-Médéric-Martin R335-Viau A19-Papineau-Leblanc A25-Pie IX A40-Charles-de-Gaulle R138-Le Gardeur

  12. THE TOTALLY DISAGGREGATE TRIP MADITUC & TDA If subway or train, stations Access First transfer node Bus stop Walk Walk First transit route Access node to transit network COST MADRID MAY 2007 Egress node from transit network Second transfer node declared in survey derived by MADITUC validation

  13. The complexity of partial itineraries Bridge to Montreal • Network assignment of individual trips must reproduce the declaration without “knowing” all the parts of the itinerary • Bridge use is influenced by traffic jams, user perception, level of service, etc. Origin Access node Junction nodes Section COST MADRID MAY 2007 Egress Itinerary Declared infrastructure Destination

  14. DISAGGREGATE ANALYSIS OF BRIDGE USE Bridge to Montreal • Goal: to know precisely « who » is on « which » bridge COST MADRID MAY 2007

  15. DISAGGREGATE ANALYSIS OF BRIDGE USE Bridge to Montreal • According to home location 49 900 43 000 40 500 COST MADRID MAY 2007 1998 survey, daily trip without « return to home » trips

  16. Survey Information system MADITUC & TDA COST MADRID MAY 2007

  17. Road network use Road use COST MADRID MAY 2007

  18. Load profiles by home location Road use Couronne Nord Laval Île de Montréal COST MADRID MAY 2007 Couronne Sud Rive-Sud Proche Source: OD 1998

  19. Trip generator relocation Trip generator Building two large hospitals in Montreal COST MADRID MAY 2007 Before After

  20. Unbalancebetweenusers Road use « undergone » M veh-km COST MADRID MAY 2007 M veh-km done

  21. Parking spacestudy: PMR borough Parking • Important urban life and traffic issue • Process of refining the Montreal transportation plan (advisory committee)  enhance safety, reduce negative impacts on residents, increase accessibility to local stores, introduce traffic segmentation (walking and cycling paths, commuting ways, …) • 101 000 inhabitants (56 800 households) • Dense area: 13 090 inhabitants/km2 (City of Montreal: 3625 inhab/km2) • Mostly residential (78% of people are tenants of their dwelling) with important commercial streets SAMPLE (2003):  10 000 trip ends (3 400 Car driver) AVG WEEKDAY:  256 200 trips (83 800 Car driver) COST MADRID MAY 2007

  22. Age and gender of car drivers Parking Men/Women ratio: HIGHEST for SUBSIDIZED parking spaces LOWEST for interior lots

  23. Monitoring car locations Parking For every CAR DRIVER trip observed in the OD sample:  Monitoring in SPACE (x-y coordinates) and TIME Car driver: Home location, HH attributes, Age, Gender, Activities, … 1 car parked from 18:20 to 7:00 1 car parked from 7:25 to 16:00 TD1 7:00 T1=25 min TA1 7:25 TA3 18:20 TD2 16:00 T2=10 min T3=20 min Constructing PAPs TD3 18:00 TA2 16:10 1 car parked from 16:10 to 18:00

  24. Daily Movement of population (2003) 06:00 07:00 08:00 09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00 18:00 19:00 20:00 21:00 22:00 23:00 24:00 05:00 People!

  25. Parking accumulation profile(total) Parking & sleeping

  26. Parking accumulation profile(parking class) Parking

  27. Parking accumulation profile(driver’s home location) Parking

  28. Parking accumulation profile(activity) Parking Average duration of parking events: Work: 8.37 h Study: 8.32 h Leisure: 3.46 h Shopping: 1.71 h

  29. Perspectives and Issues • TDA Simulation on road network • Based on All-or-Nothing Assignment, OK for global estimate • Vehicle inventory • Problem of « false » base for commercial veh. • Bridges • Structuring effect on trip behaviour • When several itineraries  difficult to estimate • Parking • Fare effects, before/after comparisons • Road use • « Political » questions • Good for aggregate figure COST MADRID MAY 2007

  30. References and Acknowldegments • MORENCY, Catherine, SAUBION, Benjamin, TRÉPANIER, Martin (2006). Evaluating the use of parking spaces in strategic urban areas using travel survey data, 53rd Annual North American Meetings of the Regional Science Association International, Toronto • MORENCY, Catherine (2006). Contributions de l'approche totalement désagrégée à la modélisation des transports dans la Grande Région de Montréal, Sixièmes rencontres francophones de socio-économie des transports, Athènes (Grèce). • TRÉPANIER, Martin, CHAPLEAU, Robert, ALLARD, Bruno, MORENCY, Catherine (2002). Méthodologie d'analyse des impacts de relocalisation des générateurs de déplacements, 37e congrès de l'Association québécoise du transport et des routes, Québec. • CHAPLEAU, Robert, MORENCY, Catherine (2001). Impacts of settlement patterns and dynamics on urban mobility behavior: findings from the combination of multiple data sources, World Conference on Transportation Research, July 2001, Séoul, Corée, CD-ROM. • BERGERON, Daniel, CHAPLEAU, Robert, LAVIGUEUR, Pierre (1996). Modélisation de l'accessibilité à l'île de Montréal depuis l'enquête-ménage Origine-Destination STCUM-MTQ de 1993, 31e congrès de l'Association québécoise du transport et des routes, Québec • FOURNIER, Pierre, TRÉPANIER, Martin, CHAPLEAU, Robert (1999). État de la motorisation dans la grande région de Montréal: un essai de caractérisation, 34e congrès de l'Association québécoise du transport et des routes, Montréal, CD-ROM, 18 pages. • etc. • MADITUC Team: Bruno ALLARD, Guillaume BISAILLON, Daniel PICHÉ COST MADRID MAY 2007

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