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An investigation on the performances of mode shift models in transit ridership forecasting

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  • Idris, Ahmed Osman
  • Nurul Habib, Khandker M.
  • Shalaby, Amer

Abstract

This paper aims at investigating the over-prediction of public transit ridership by traditional mode choice models estimated using revealed preference data. Five different types of models are estimated and analysed, namely a traditional Revealed Preference (RP) data-based mode choice model, a hybrid mode choice model with a latent variable, a Stated Preference (SP) data-based mode switching model, a joint RP/SP mode switching model, and a hybrid mode switching model with a latent variable. A comparison of the RP data-based mode choice model with the mode choice models including a latent variable showed that the inclusion of behavioural factors (especially habit formation) significantly improved the models. The SP data-based mode switching models elucidated the reasons why traditional models tend to over-predict transit ridership by revealing the role played by different transit level-of-service attributes and their relative importance to mode switching decisions. The results showed that traditional attributes (e.g. travel cost and time) are of lower importance to mode switching behaviour than behavioural factors (e.g. habit formation towards car driving) and other transit service design attributes (e.g. crowding level, number of transfers, and schedule delays). The findings of this study provide general guidelines for developing a variety of transit ridership forecasting models depending on the availability of data and the experience of the planner.

Suggested Citation

  • Idris, Ahmed Osman & Nurul Habib, Khandker M. & Shalaby, Amer, 2015. "An investigation on the performances of mode shift models in transit ridership forecasting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 551-565.
    • Handle: RePEc:eee:transa:v:78:y:2015:i:c:p:551-565
    DOI: 10.1016/j.tra.2015.06.012
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    1. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.
    2. Víctor Cantillo & Juan de Dios Ortúzar & Huw C. W. L. Williams, 2007. "Modeling Discrete Choices in the Presence of Inertia and Serial Correlation," Transportation Science, INFORMS, vol. 41(2), pages 195-205, May.
    3. Clifford Winston, 2000. "Government Failure in Urban Transportation," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 403-425, December.
    4. Barff, Richard & MacKay, David & Olshavsky, Richard W, 1982. "A Selective Review of Travel-Mode Choice Models," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 370-380, March.
    5. Roger Mackett, 2003. "Why do people use their cars for short trips?," Transportation, Springer, vol. 30(3), pages 329-349, August.
    6. Khandker Nurul Habib & Yuan Tian & Hamid Zaman, 2011. "Modelling commuting mode choice with explicit consideration of carpool in the choice set formation," Transportation, Springer, vol. 38(4), pages 587-604, July.
    7. Cristian Domarchi & Alejandro Tudela & Angélica González, 2008. "Effect of attitudes, habit and affective appraisal on mode choice: an application to university workers," Transportation, Springer, vol. 35(5), pages 585-599, August.
    8. Chorus, Caspar G. & Timmermans, Harry J.P., 2009. "Measuring user benefits of changes in the transport system when traveler awareness is limited," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 536-547, June.
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