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Mode choice analysis in urban transport with shared battery electric vehicles: A stated-preference case study in Beijing, China

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  • Jin, Fanglei
  • An, Kun
  • Yao, Enjian

Abstract

In recent years, with promotion of the sharing economy, one-way carsharing has received increasing attention. With the technology advances in battery electric vehicles, owing to their zero emissions, an increasing number of carsharing companies are replacing their fleets with battery electric vehicles. This paper provides insights into the mode choice mechanism of travelers when battery electric vehicle sharing is incorporated in an urban transport system. A nested logit model is developed to jointly analyze the mode choice and route-vehicle choice under various trip scenarios. The impacts of the level-of-service variables including the access distance and remaining range are investigated. The results show that battery electric vehicle sharing can serve as a substitute for taxis in long-distance trips. Further, the access distance to a shared battery electric vehicle has a more significant impact on the mode choice of a traveler, which is 1.78 times that of the impact of the egress distance in the utility function. It is also found that when the trip distance increases, a traveler tends to become more tolerant to the access distance and requires a longer remaining range of vehicles.

Suggested Citation

  • Jin, Fanglei & An, Kun & Yao, Enjian, 2020. "Mode choice analysis in urban transport with shared battery electric vehicles: A stated-preference case study in Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 95-108.
    • Handle: RePEc:eee:transa:v:133:y:2020:i:c:p:95-108
    DOI: 10.1016/j.tra.2020.01.009
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    1. Egbue, Ona & Long, Suzanna, 2012. "Barriers to widespread adoption of electric vehicles: An analysis of consumer attitudes and perceptions," Energy Policy, Elsevier, vol. 48(C), pages 717-729.
    2. Jin, Fanglei & Yao, Enjian & An, Kun, 2020. "Analysis of the potential demand for battery electric vehicle sharing: Mode share and spatiotemporal distribution," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Felipe F. Dias & Patrícia S. Lavieri & Venu M. Garikapati & Sebastian Astroza & Ram M. Pendyala & Chandra R. Bhat, 2017. "A behavioral choice model of the use of car-sharing and ride-sourcing services," Transportation, Springer, vol. 44(6), pages 1307-1323, November.
    4. Efthymiou, Dimitrios & Antoniou, Constantinos, 2016. "Modeling the propensity to join carsharing using hybrid choice models and mixed survey data," Transport Policy, Elsevier, vol. 51(C), pages 143-149.
    5. Shaheen, Susan A & Cohen, Adam P & Roberts, J. Darius, 2006. "Carsharing in North America: Market Growth, Current Developments, and Future Potential," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt46b7n137, Institute of Transportation Studies, UC Berkeley.
    6. Efthymiou, Dimitrios & Antoniou, Constantinos & Waddell, Paul, 2013. "Factors affecting the adoption of vehicle sharing systems by young drivers," Transport Policy, Elsevier, vol. 29(C), pages 64-73.
    7. Kim, Kyeongsu, 2015. "Can carsharing meet the mobility needs for the low-income neighborhoods? Lessons from carsharing usage patterns in New York City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 249-260.
    8. Shaheen, Susan & Martin, Elliot, 2006. "Assessing Early Market Potential for Carsharing in China: A Case Study of Beijing," Institute of Transportation Studies, Working Paper Series qt9hf9784f, Institute of Transportation Studies, UC Davis.
    9. Le Vine, Scott & Polak, John, 2019. "The impact of free-floating carsharing on car ownership: Early-stage findings from London," Transport Policy, Elsevier, vol. 75(C), pages 119-127.
    10. Daniel McFadden, 1977. "Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments," Cowles Foundation Discussion Papers 474, Cowles Foundation for Research in Economics, Yale University.
    11. Karabasoglu, Orkun & Michalek, Jeremy, 2013. "Influence of driving patterns on life cycle cost and emissions of hybrid and plug-in electric vehicle powertrains," Energy Policy, Elsevier, vol. 60(C), pages 445-461.
    12. Prettenthaler, Franz E. & Steininger, Karl W., 1999. "From ownership to service use lifestyle: the potential of car sharing," Ecological Economics, Elsevier, vol. 28(3), pages 443-453, March.
    13. Susan Shaheen & Nelson Chan & Helen Micheaux, 2015. "One-way carsharing’s evolution and operator perspectives from the Americas," Transportation, Springer, vol. 42(3), pages 519-536, May.
    14. Yao, Enjian & Morikawa, Takayuki, 2005. "A study of on integrated intercity travel demand model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 367-381, May.
    15. de Luca, Stefano & Di Pace, Roberta, 2015. "Modelling users’ behaviour in inter-urban carsharing program: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 71(C), pages 59-76.
    16. Stasko, Timon H. & Buck, Andrew B. & Oliver Gao, H., 2013. "Carsharing in a university setting: Impacts on vehicle ownership, parking demand, and mobility in Ithaca, NY," Transport Policy, Elsevier, vol. 30(C), pages 262-268.
    17. Kim, Jinhee & Rasouli, Soora & Timmermans, Harry, 2017. "Satisfaction and uncertainty in car-sharing decisions: An integration of hybrid choice and random regret-based models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 13-33.
    18. Shaheen, Susan PhD & Chan, Nelson & Micheaux, Helen, 2015. "One-Way Carsharing's Evolution and Operator Perspectives from the Americas," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt83s1z8j4, Institute of Transportation Studies, UC Berkeley.
    19. Martin, Elliot & Shaheen, Susan, 2011. "The Impact of Carsharing on Public Transit and Non-Motorized Travel: An Exploration of North American Carsharing Survey Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6xt6d5jv, Institute of Transportation Studies, UC Berkeley.
    20. Gary L. Hunt, 2000. "Alternative Nested Logit Model Structures and the Special Case of Partial Degeneracy," Journal of Regional Science, Wiley Blackwell, vol. 40(1), pages 89-113, February.
    21. Hess, Stephane & Rose, John M., 2009. "Allowing for intra-respondent variations in coefficients estimated on repeated choice data," Transportation Research Part B: Methodological, Elsevier, vol. 43(6), pages 708-719, July.
    22. Elliot Martin & Susan Shaheen, 2011. "The Impact of Carsharing on Public Transit and Non-Motorized Travel: An Exploration of North American Carsharing Survey Data," Energies, MDPI, vol. 4(11), pages 1-21, November.
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    7. Chen, Tiantian & Fu, Xiaowen & Hensher, David A. & Li, Zhi-Chun & Sze, N.N., 2024. "Effects of proactive and reactive health control measures on public transport preferences of passengers – A stated preference study during the COVID-19 pandemic," Transport Policy, Elsevier, vol. 146(C), pages 175-192.
    8. Hu, Beibei & Sun, Yue & Li, Zixun & Zhang, Yanli & Sun, Huijun & Dong, Xianlei, 2024. "Competitive advantage of car-sharing based on travel costs comparison model: A case study of Beijing, China," Research in Transportation Economics, Elsevier, vol. 103(C).

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