An investigation of commuting trip timing and mode choice in the Greater Toronto Area: Application of a joint discrete-continuous model

Transportation Research Part A: Policy and Practice

Volumn 43, Issue 7, 2009, Pages 639-653

  Nurul Habib, Khandker M ^a   Day, Nicholas ^b   Miller, Eric J ^c  

^a School of Mining and Petroleum Engineering   (Canada)

^b IBI Group   (United States)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

Activity based model; Commuting mode choice; Commuting trip; Departure time; Peak period congestion; Peak spreading; Travel demand model

Indexed keywords

CONTINUOUS TIME SYSTEMS; GAS METAL ARC WELDING; LOGISTIC REGRESSION; MOTOR TRANSPORTATION; TIMING CIRCUITS;

ACTIVITY BASED MODELING; COMMUTING MODES; COMMUTING TRIP; DEPARTURE TIME; PEAK SPREADING; PEAK-PERIOD CONGESTION; TRAVEL DEMAND MODELING;

TRAFFIC CONGESTION;

COMMUTING; DISCRETE CHOICE ANALYSIS; ECONOMETRICS; ESTIMATION METHOD; LOGIT ANALYSIS; MODELING; TRAFFIC CONGESTION; TRANSPORTATION MODE; TRAVEL DEMAND; URBAN AREA;

CANADA; NORTH AMERICA; ONTARIO [CANADA]; TORONTO;

EID: 67650708018     PISSN: 09658564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tra.2009.05.001     Document Type: Article

References (40)

1. Aptech Systems. GAUSS User's Manual (2006), Maple Valley, CA
2. Arentze T.A., and Timmermans H.J.P. A learning-based transportation oriented simulation system. Transportation Research B 38 (2004) 613-633
3. Barnard P.O., and Hensher D.A. Joint estimation of a polychotomous discrete-continuous choice system: an analysis of the spatial distribution of retail expenditures. Journal of Transport Economics and Policy XXVI 3 (1992) 299-312
4. Bates, J., Polak, J.W., 1997. Time period choice modelling: a preliminary review. Project Report. Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College, London, UK
5. Ben-Akiva M., and Lerman S. Discrete Choice Analysis: Theory and Application to Travel Demand (1985), MIT Press
6. Bhat C.R. A generalized multiple durations proportional hazard model with an application to activity behavior during the evening work-to-home commute. Transportation Research B 30 (1996) 465-480
7. Bhat C. Analysis of travel mode and departure time choice for urban shopping trips. Transportation Research B 32 (1998) 361-371
8. Bhat C., and Steed J. A continuous-time model of departure time choice for urban shopping trips. Transportation Research B 36 (2002) 207-224
9. Bowman J.L., and Ben-Akiva M.E. Activity-based disaggregate travel demand model system with activity schedules. Transportation Research A: Policy and Practice 35 (2000) 1-28
10. Data Management Group (DMG), 2005. Transportation tomorrow survey. Joint Program in Transportation, University of Toronto. (accessed 15.10.08).
11. Davidson W., Donnelly R., Vovsha P., Freedman J., Ruegg S., Hicks J., Castiglione J., and Picado R. Synthesis of first practices and operational research approaches in activity-based travel demand modeling. Transportation Research Part A: Policy and Practice 41 (2007) 464-488
12. deJong G., Daly A., Pieters M., Vellay C., Bradley M., and Hofman F. A model for time of day and mode choice using error components logit. Transportation Research Part E (2003) 39
13. Ettema D., and Timmermans H. Modeling departure time choice in the context of activity scheduling behavior. Transportation Research Record 1831 (2003) 39-46
14. Ettema D., Bastin F., Polak J., and Ashiru O. Modelling the joint choice of activity timing and duration. Transportation Research A: Policy and Practice 41 (2007) 827-841
15. Habib K.N., Carrasco J.A., and Miller E.J. Social context of activity scheduling: discrete-continuous model of relationship between 'with whom' and episode start time and duration. Transportation Research Record 2076 (2008) 81-87
16. Hensher D.A., and Mannering F.L. Hazard-based duration models and their application to transport analysis. Transport Reviews 14 (1994) 63-82
17. Hensher D.A., and Ton T. TRESIS: a transportation, land use and environmental strategy impact simulator for urban areas. Transportation 29 4 (2002) 439-457
18. Hess S., Daly A., Rohr C., and Hyman G. On the development of time period and mode choice models for use in large scale modelling forecasting system. Transportation Research A: Policy and Practice 41 (2007) 802-826
19. Hyman G. The Development of Operational Models for Time Period Choice (1997), Department of Environment, Transport and Regions, HETA Division, London, UK
20. Johnson N.L., Kotz S., and Balakrisnan N. Continuous Univariate Distributions vol. 2 (1995), Willey Inter. Science
21. Kiefer N.M. Economic duration data and hazard functions. Journal of Economic Literature 26 (1988) 646-679
22. Krishnamurthi L., and Raj S.P. A model of brand choice and purchase quantity price sensitivity. Marketing Science 7 (1988) 1-20
23. Lee L.-F. Notes and comments generalized econometric models with selectivity. Econometrica 51 (1983) 507-512
24. Lee B., and Timmermans H.J.P. A latent class accelerated hazard model of activity episode durations. Transportation Research Part B 41 (2007) 426-447
25. Miller, E.J., 2007. A Travel Demand Modelling System for the Greater Toronto Area, Version 3.0. GTAMODEL Version 3.0 Model System Documentation, vol. II. Joint Program in Transportation, University of Toronto, Ontario, Canada.
26. Muizaga M.A., Jara-Diaz R.C.S.R., and Ortuzar J. Valuing time with a joint mode choice-activity model. International Journal of Transport Economics 33 2 (2006)
27. Ozbay K., and Yanmaz-Tuzel O. Valuation of travel time and departure time choice in the presence of time-of-day pricing. Transportation Research Part A: Policy and Practice 42 (2008) 577-590
28. Palma A., and Marchal F. Real case application of fully dynamic METROPOLIS tool-box: an advocacy for large scale mesoscopic transportation system. Network and Spatial Econometrics 2 (2002) 347-369
29. Pendyala R., and Bhat C.R. An exploration of the relationship between timing and duration of maintenance activities. Transportation 31 (2004) 429-456
30. Pendyala R.M., Kitamura R., Kikuchi A., Yamamoto S., and Fuji S. Florida activity mobility simulator: overview and preliminary validation results. Transportation Research Record 1921 (2005) 123-130
31. Roorda M.J., Miller E.J., and Habib K.M.N. Validation of TASHA: a 24-h activity scheduling microsimulation model. Transportation Research Part A: Policy and Practice 42 (2008) 360-375
32. Russo F., Vitetta A., and Comi A. Estimation of target time distribution for agri food products by road transportation. Schedule-based Modeling of Transportation Network (2009), Springer, US 267-283 (Chapter 14)
33. Small K.A. The scheduling of consumer activities: work trips. American Economic Review 72 June (1982) 467-479
34. Small K.A. A discrete model for ordered alternatives. Econometrica 55 2 (1987) 409-424
35. Southern California Association of Governments (SCAG), 2003. Year 2000 model validation & summary: regional transportation model. (accessed October, 2008).
36. Susilo Y.O., and Kitamura R. Structural changes in commuters' daily travel: the case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980-2000. Transportation Research Part A: Policy and Practice 42 (2007) 95-115
37. Train K. Discrete Choice Methods with Simulation (2003), Cambridge University Press, New York, NY. http://elsa.berkeley.edu/books/choice2.html
38. van Vuren, T., Carmichael, S., Polak, J., Hyman, G., Cross, S., 1999. Modelling peak spreading in continuous time. In: Proceedings of European Transport Conference-PTRC, Cambridge, UK.
39. Vickery W.S. Congestion theory and transport investment. American Economic Review 59 (1969) 251-260
40. Vovsha P., and Bradley M. Hybrid discrete choice departure-time and duration model for scheduling travel tours. Transportation Research Record 1894 (2004) 46-56