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What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling

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  • Hasnine, Md Sami
  • Habib, Khandker Nurul

Abstract

The paper presents a heteroskedastic dynamic discrete choice (HDDC) model for tour-based mode choices modelling with an empirical investigation of university students' daily mode choices in Toronto. The reality of connected trips and resulting constrained mode choices are captured through the HDDC framework that is suitable for fitting in an activity-based travel demand modelling system. Data from a web-based travel survey of the students of four universities in Toronto are used. The empirical model highlights the importance of capturing the dynamics in tour-based mode choices modelling. The dynamic model reveals that students' sensitivity to cost vary by trips of the day, while their sensitivity to travel time remains stable. Results of this investigation have policy implications and the proposed methodology has applications in activity-based travel demand modelling.

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  • Hasnine, Md Sami & Habib, Khandker Nurul, 2018. "What about the dynamics in daily travel mode choices? A dynamic discrete choice approach for tour-based mode choice modelling," Transport Policy, Elsevier, vol. 71(C), pages 70-80.
    • Handle: RePEc:eee:trapol:v:71:y:2018:i:c:p:70-80
    DOI: 10.1016/j.tranpol.2018.07.011
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    Cited by:

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    5. Hasnine, Md Sami & Graovac, Ana & Camargo, Felipe & Habib, Khandker Nurul, 2019. "A random utility maximization (RUM) based measure of accessibility to transit: Accurate capturing of the first-mile issue in urban transit," Journal of Transport Geography, Elsevier, vol. 74(C), pages 313-320.
    6. Ren, Xiyuan & Chow, Joseph Y.J., 2022. "A random-utility-consistent machine learning method to estimate agents’ joint activity scheduling choice from a ubiquitous data set," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 396-418.
    7. Song, Yuchen & Li, Dawei & Liu, Dongjie & Cao, Qi & Chen, Junlan & Ren, Gang & Tang, Xiaoyong, 2022. "Modeling activity-travel behavior under a dynamic discrete choice framework with unobserved heterogeneity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    8. Zhang, Yu & Li, Leiming, 2022. "Research on travelers’ transportation mode choice between carsharing and private cars based on the logit dynamic evolutionary game model," Economics of Transportation, Elsevier, vol. 29(C).

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