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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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    as
    1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    2. Arentze, Theo A. & Timmermans, Harry J. P., 2004. "A learning-based transportation oriented simulation system," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 613-633, August.
    3. Chinh Ho & Corinne Mulley, 2013. "Tour-based mode choice of joint household travel patterns on weekend and weekday," Transportation, Springer, vol. 40(4), pages 789-811, July.
    4. Pendyala, Ram M. & Kitamura, Ryuichi & Chen, Cynthia & Pas, Eric I., 1997. "An activity-based microsimulation analysis of transportation control measures," Transport Policy, Elsevier, vol. 4(3), pages 183-192, July.
    5. Bhat, Chandra R., 1998. "Accommodating flexible substitution patterns in multi-dimensional choice modeling: formulation and application to travel mode and departure time choice," Transportation Research Part B: Methodological, Elsevier, vol. 32(7), pages 455-466, September.
    6. Cinzia Cirillo & Renting Xu, 2011. "Dynamic Discrete Choice Models for Transportation," Transport Reviews, Taylor & Francis Journals, vol. 31(4), pages 473-494.
    7. Eric Miller & Matthew Roorda & Juan Carrasco, 2005. "A tour-based model of travel mode choice," Transportation, Springer, vol. 32(4), pages 399-422, July.
    8. Nurul Habib, Khandker & El-Assi, Wafic & Hasnine, Md. Sami & Lamers, James, 2017. "Daily activity-travel scheduling behaviour of non-workers in the National Capital Region (NCR) of Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 1-16.
    9. Mark Bradley & Peter Vovsha, 2005. "A model for joint choice of daily activity pattern types of household members," Transportation, Springer, vol. 32(5), pages 545-571, September.
    10. Swait, Joffre & Adamowicz, Wiktor & Bueren, Martin van, 2004. "Choice and temporal welfare impacts: incorporating history into discrete choice models," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 94-116, January.
    11. Auld, Joshua & Mohammadian, Abolfazl(Kouros), 2012. "Activity planning processes in the Agent-based Dynamic Activity Planning and Travel Scheduling (ADAPTS) model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1386-1403.
    12. Khandker Habib, 2011. "A random utility maximization (RUM) based dynamic activity scheduling model: Application in weekend activity scheduling," Transportation, Springer, vol. 38(1), pages 123-151, January.
    13. Hasnine, Md Sami & Lin, TianYang & Weiss, Adam & Habib, Khandker Nurul, 2018. "Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto," Journal of Transport Geography, Elsevier, vol. 70(C), pages 161-171.
    14. Bhat, Chandra R., 1995. "A heteroscedastic extreme value model of intercity travel mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 29(6), pages 471-483, December.
    15. Bhat, Chandra R. & Sardesai, Rupali, 2006. "The impact of stop-making and travel time reliability on commute mode choice," Transportation Research Part B: Methodological, Elsevier, vol. 40(9), pages 709-730, November.
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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. Giancarlos Parady & Kay W. Axhausen, 2024. "Size matters: the use and misuse of statistical significance in discrete choice models in the transportation academic literature," Transportation, Springer, vol. 51(6), pages 2393-2425, December.
    9. 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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