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Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models

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  • David A. Hensher
  • John M. Rose
  • Waiyan Leong
  • Alejandro Tirachini
  • Zheng Li

Abstract

The development of behaviourally richer representations of the role of well-established and increasingly important influences on modal choice, such as trip time reliability and accounting for risk attitude and process rules, has moved forward at a fast pace in the context of automobile travel. In the public transport setting, such contributions have, with rare exception, not been considered. In this paper, we discuss and empirically illustrate the merits of advanced modelling developments aimed at improving our understanding of public transport choice, namely the inclusion of reliability in extended expected utility theoretic forms, to recognize risk attitude and perceptual conditioning, the consideration of passenger crowding and its inclusion in linear additive models, and the role of multiple heuristics in representing attribute processing as a way of conditioning modal choice. We illustrate the mechanics of introducing these behaviourally appealing extensions using a modal choice data set collected in Sydney.

Suggested Citation

  • David A. Hensher & John M. Rose & Waiyan Leong & Alejandro Tirachini & Zheng Li, 2013. "Choosing Public Transport—Incorporating Richer Behavioural Elements in Modal Choice Models," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 92-106, January.
    • Handle: RePEc:taf:transr:v:33:y:2013:i:1:p:92-106
    DOI: 10.1080/01441647.2012.760671
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    Cited by:

    1. Nadeem Ul Haque & Faheem Jehangir Khan (ed.), 2022. "RASTA Local Research, Local Solutions: Urban Development, Volume II," PIDE Books, Pakistan Institute of Development Economics, number 2022:10.
    2. Maljaee, Seyedeh Sara & Khadem Sameni, Melody, 2022. "Investigating factors affecting university students' use of subway before and after COVID-19 outbreak: A case study in Tehran," Journal of Transport Geography, Elsevier, vol. 105(C).
    3. Gijsenberg, Maarten & Verhoef, Pieter, 2018. "Moving Forward," Research Report 2018003-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Jochem, Patrick & Lisson, Christopher & Khanna, Arpita Asha, 2021. "The role of coordination costs in mode choice decisions: A case study of German cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 149(C), pages 31-44.

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