Analysis of work trip timing and mode choice in the greater Toronto area

Canadian Journal of Civil Engineering

Volumn 37, Issue 5, 2010, Pages 695-705

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

^a IBI Group   (United States)

^b UNIVERSITY OF ALBERTA   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

Author keywords

Greater toronto area (GTA); Mode choice; Peak spreading; Traffic congestion

Indexed keywords

DIFFERENT MODES; GREATER TORONTO AREA; JOINT ANALYSIS; MODE CHOICE; MODE CHOICE MODELS; MULTINOMIAL LOGIT; SPATIAL DISTRIBUTION; TRAVEL DEMAND MODELS; TRIP MAKING; WORK HOURS;

EMPLOYMENT; MOTOR TRANSPORTATION; SIZE DISTRIBUTION; TIME MEASUREMENT; WAGES;

TRAFFIC CONGESTION;

COMPUTER; DECISION MAKING; LABOR; LOGIT ANALYSIS; OCCUPATION; PARKING; PEAK ACCELERATION; SPATIAL DISTRIBUTION; TRAFFIC CONGESTION; TRAVEL DEMAND; TRAVEL TIME; WORKING CONDITIONS;

CANADA; ONTARIO [CANADA]; TORONTO;

EID: 77953495149     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L10-008     Document Type: Article

References (12)

1. Arentze, T.A., and Timmermans, H.J.P. 2004. A learning-based transportation oriented simulation system. Transportation Re-search Part B: Methodological, 38(7): 613-633. doi:10.1016/j. trb.2002.10.001.
2. Ben-Akiva, M.S., and Lerman, S. 1985. Discrete choice analysis: theory and application to travel demand. The MIT Press.
3. Bhat, C.R., Guo, J.Y., Srinivasan, S., and Sivakumar, A. 2004. A comprehensive econometric microsimulator for daily activity-travel patterns. Transportation Research Record, 1894(1): 57-66. doi:10.3141/1894-07.
4. Data Management Group (DMG). 2005. Transportation tomorrow survey [online]. Joint Program in Transportation, University of Toronto. Available from http://www.jpint.utoronto.ca/dmg/tts.html [accessed June 2009].
5. Davidson, W., Donnelly, R., Vovsha, P., Freedman, J., Ruegg, S., Hicks, J., Castiglione, J., and Picado, R. 2007. Synthesis of first practises and operational research approaches in activity-based travel demand modeling. Transportation Research Part A, Policy and Practice, 41(5): 464-488. doi:10.1016/j.tra.2006.09.003.
6. Miller, E.J. 2007. A travel demand modelling system for the Greater Toronto Area, Version 3.0: Volume II GTAMODEL Version 3.0 model system documentation. Joint Program in Transportation, University of Toronto, ON, Canada.
7. Miller, E.J., and Kriger, D. 2004. Modelling peak spreading. A pre-sentation to the Greater Vancouver Regional District. May 12, 2004.
8. Miller, E.J., and Roorda, M.J. 2003. A prototype model of house-hold activity/travel scheduling. Transportation Research Record, 1831(1): 114-121. doi:10.3141/1831-13.
9. Pendyala, R.M., Kitamura, R., Kikuchi, A., Yamamoto, S., and Fuji, S. 2005. Florida activity mobility simulator: overview and preliminary validation results. Transportation Research Record, 1921(1): 123-130. doi:10.3141/1921-14.
10. Roorda, M.J., Miller, E.J., and Habib, K.M.N. 2008. Validation of TASHA: a 24-h activity scheduling microsimulation model. Transportation Research Part A, Policy and Practice, 42(2): 360-375. doi:10.1016/j.tra.2007.10.004.
11. Southern California Association of Governments (SCAG). 2003. Year 2000 model validation & summary: regional transportation model [online]. Available from http://www.scag.ca.gov/modeling/index.html [accessed June 2009].
12. Vickery, W.S. 1969. Congestion theory and transport investment. The American Economic Review, 59(2): 251-260.