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A utility-based bicycle speed choice model with time and energy factors

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  • Alexander Bigazzi

    (University of British Columbia)

  • Robin Lindsey

    (University of British Columbia)

Abstract

This paper presents a utility-based behavioral model of bicycle speed choice. A mathematical framework is developed with travel time, energy expenditure, and control factors. Observational speed data are used to calibrate the model and estimate marginal rates of substitution between energy expenditure and travel time. The model is validated by applying it to predict speed changes on pedal-assist electric bicycles. This paper lays a foundation for further development of operational active travel speed and joint speed-route choice models, which can lead to more sensitive and behaviorally-grounded operations, microsimulation, and mode choice models. In addition, the findings have implications for modeling the effects of emerging bicycle technologies. Further research is needed to calibrate the model for a broad population of travelers.

Suggested Citation

  • Alexander Bigazzi & Robin Lindsey, 2019. "A utility-based bicycle speed choice model with time and energy factors," Transportation, Springer, vol. 46(3), pages 995-1009, June.
    • Handle: RePEc:kap:transp:v:46:y:2019:i:3:d:10.1007_s11116-018-9907-2
    DOI: 10.1007/s11116-018-9907-2
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    References listed on IDEAS

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    Cited by:

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    2. Jiawei Gui & Qunqi Wu, 2020. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou," Sustainability, MDPI, vol. 12(19), pages 1-46, September.
    3. Tscharaktschiew, Stefan, 2020. "Why are highway speed limits really justified? An equilibrium speed choice analysis," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 317-351.

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