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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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    1. Verhoef, Erik T. & Rouwendal, Jan, 2004. "A behavioural model of traffic congestion: Endogenizing speed choice, traffic safety and time losses," Journal of Urban Economics, Elsevier, vol. 56(3), pages 408-434, November.
    2. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    3. Patricia L. Mokhtarian & Ilan Salomon & Matan E. Singer, 2015. "What Moves Us? An Interdisciplinary Exploration of Reasons for Traveling," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 250-274, May.
    4. Cherry, Christopher & Cervero, Robert, 2007. "Use characteristics and mode choice behavior of electric bike users in China," Transport Policy, Elsevier, vol. 14(3), pages 247-257, May.
    5. Jin, Sheng & Qu, Xiaobo & Zhou, Dan & Xu, Cheng & Ma, Dongfang & Wang, Dianhai, 2015. "Estimating cycleway capacity and bicycle equivalent unit for electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 225-248.
    6. Börjesson, Maria & Eliasson, Jonas, 2012. "The value of time and external benefits in bicycle appraisal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 673-683.
    7. Zhang, Shuichao & Ren, Gang & Yang, Renfa, 2013. "Simulation model of speed–density characteristics for mixed bicycle flow—Comparison between cellular automata model and gas dynamics model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5110-5118.
    8. Ipek Sener & Naveen Eluru & Chandra Bhat, 2009. "An analysis of bicycle route choice preferences in Texas, US," Transportation, Springer, vol. 36(5), pages 511-539, September.
    9. Gatersleben, Birgitta & Appleton, Katherine M., 2007. "Contemplating cycling to work: Attitudes and perceptions in different stages of change," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(4), pages 302-312, May.
    10. Small, Kenneth A., 2012. "Valuation of travel time," Economics of Transportation, Elsevier, vol. 1(1), pages 2-14.
    11. Parkin, John & Rotheram, Jonathon, 2010. "Design speeds and acceleration characteristics of bicycle traffic for use in planning, design and appraisal," Transport Policy, Elsevier, vol. 17(5), pages 335-341, September.
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    Cited by:

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    2. 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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