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Modelling second-best choices from the choice-based sample: revelation of potential mode-switching behaviour from transit passenger surveys

Author

Listed:
  • Zohreh Rashedi

    (University of Toronto)

  • Md Sami Hasnine

    (Howard University)

  • Khandker Nurul Habib

    (University of Toronto)

Abstract

The paper presents an application of the choice-based sample to explain the choice of non-chosen alternatives. It uses a passenger survey of GO rail transit of the Greater Toronto and Hamilton Area to investigate the factors that may affect the potential mode switching of the current GO rail users. It used a hybrid generalized extreme value with an endogenous latent variables model for jointly modelling the GO rail station access mode choice and the choice of switching from GO rail to alternative modes. The empirical results reveal that the influence of station access difficulty does not become an issue for relatively shorter access distance (e.g. station access distance is less than 5% of the total origin–destination distance). The traveller would rather switch access mode than switching away from GO rail for such a case. Competition of alternative modes, captured through the composite cost of using an alternative to GO rail, is also found to be critical in potential switching from GO rail. It is also clear that drive-alone is the most attractive alternative to switch to. Overall, the empirical investigations reveal that land-use policies that encourage higher residential density around a GO rail station would make a higher number of modes (including non-motorized modes) feasible as access to GO rail mode and thereby reduce the impact of access cost on mode switching behaviour from GO rail. Similarly, developing a high occupancy vehicle lane network and high occupancy tolled road network to serve along the corridors that are served by GO rail would encourage multimodality and help to tackle GO rail’s capacity constraints and their corresponding negative effect of in-train crowding.

Suggested Citation

  • Zohreh Rashedi & Md Sami Hasnine & Khandker Nurul Habib, 2022. "Modelling second-best choices from the choice-based sample: revelation of potential mode-switching behaviour from transit passenger surveys," Public Transport, Springer, vol. 14(3), pages 609-633, October.
  • Handle: RePEc:spr:pubtra:v:14:y:2022:i:3:d:10.1007_s12469-021-00275-z
    DOI: 10.1007/s12469-021-00275-z
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    References listed on IDEAS

    as
    1. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.
    2. Daly, Andrew & Bierlaire, Michel, 2006. "A general and operational representation of Generalised Extreme Value models," Transportation Research Part B: Methodological, Elsevier, vol. 40(4), pages 285-305, May.
    3. Javier Asensio, 2002. "Transport Mode Choice by Commuters to Barcelona's CBD," Urban Studies, Urban Studies Journal Limited, vol. 39(10), pages 1881-1895, September.
    4. Vincent Chakour & Naveen Eluru, 2014. "Analyzing commuter train user behavior: a decision framework for access mode and station choice," Transportation, Springer, vol. 41(1), pages 211-228, January.
    5. Zheng, Zuduo & Washington, Simon & Hyland, Paul & Sloan, Keith & Liu, Yulin, 2016. "Preference heterogeneity in mode choice based on a nationwide survey with a focus on urban rail," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 178-194.
    6. Hensher,David A. & Rose,John M. & Greene,William H., 2015. "Applied Choice Analysis," Cambridge Books, Cambridge University Press, number 9781107465923, September.
    7. Bhat, Chandra R., 1997. "Work travel mode choice and number of non-work commute stops," Transportation Research Part B: Methodological, Elsevier, vol. 31(1), pages 41-54, February.
    8. Surprenant-Legault, Julien & Patterson, Zachary & El-Geneidy, Ahmed M., 2013. "Commuting trade-offs and distance reduction in two-worker households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 51(C), pages 12-28.
    9. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    10. Christopher Vahl & Qing Kang, 2015. "Analysis of an outcome-dependent enriched sample: hypothesis tests," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 387-409, September.
    11. Khandker Habib, 2014. "Household-level commuting mode choices, car allocation and car ownership level choices of two-worker households: the case of the city of Toronto," Transportation, Springer, vol. 41(3), pages 651-672, May.
    12. Wen, Chieh-Hua & Koppelman, Frank S., 2001. "The generalized nested logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 627-641, August.
    13. Tyrinopoulos, Yannis & Antoniou, Constantinos, 2008. "Public transit user satisfaction: Variability and policy implications," Transport Policy, Elsevier, vol. 15(4), pages 260-272, July.
    14. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    15. Andrew Daly & Stephane Hess & Bhanu Patruni & Dimitris Potoglou & Charlene Rohr, 2012. "Using ordered attitudinal indicators in a latent variable choice model: a study of the impact of security on rail travel behaviour," Transportation, Springer, vol. 39(2), pages 267-297, March.
    Full references (including those not matched with items on IDEAS)

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