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Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China

Author

Listed:
  • Qian Duan

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Xin Ye

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Jian Li

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

  • Ke Wang

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China)

Abstract

Carsharing is an emerging commute mode in China, which may produce social and environmental benefits. This paper aims to develop a commute mode choice model to explore influential factors and quantify their impacts on the potential demand for carsharing in Shanghai. The sample data were obtained from a revealed preference (RP) and stated preference (SP) survey and integrated with level-of-service attributes from road and transit networks. The RP survey collected commuters’ trip information and socioeconomic and demographic characteristics. In the SP survey, four hypothetical scenarios were designed based on carsharing’s unit price to collect commuters’ willingness to shift to carsharing. Data fusion method was applied to fuse RP and SP models. The joint model identified the target group of choosing carsharing with certain socioeconomic and demographic attributes, such as gender, age, income, household member, household vehicle ownership, and so on. It also indicates that the value of time (VOT) for carsharing is 35.56 RMB Yuan (5.08 US Dollar)/h. The elasticity and marginal effect analysis show that the direct elasticity of carsharing’s fare on its potential demand is −0.660, while the commuters, who have a more urgent plan on car purchase or are more familiar with the carsharing service, have much higher probabilities to choose carsharing as their commute modes. The developed model is expected to be applied to the urban travel demand model, providing references for the formulation of carsharing operation scheme and government policy.

Suggested Citation

  • Qian Duan & Xin Ye & Jian Li & Ke Wang, 2020. "Empirical Modeling Analysis of Potential Commute Demand for Carsharing in Shanghai, China," Sustainability, MDPI, vol. 12(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:2:p:620-:d:308766
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    References listed on IDEAS

    as
    1. Yajie Zou & Xinzhi Zhong & Jinjun Tang & Xin Ye & Lingtao Wu & Muhammad Ijaz & Yinhai Wang, 2019. "A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife‒Vehicle Crash Analysis," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
    2. Shaheen, Susan & Martin, Elliot & Totte, Hannah, 2020. "Zero-emission vehicle exposure within U.S. carsharing fleets and impacts on sentiment toward electric-drive vehicles," Transport Policy, Elsevier, vol. 85(C), pages 23-32.
    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. Irfan Ullah & Kai Liu & Tran Vanduy, 2019. "Examining Travelers’ Acceptance towards Car Sharing Systems—Peshawar City, Pakistan," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    5. Ke Wang & Xin Ye & Ram M Pendyala & Yajie Zou, 2017. "On the development of a semi-nonparametric generalized multinomial logit model for travel-related choices," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-19, October.
    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. repec:cdl:itsrrp:qt0z9711dw is not listed on IDEAS
    8. Johanna Kopp & Regine Gerike & Kay Axhausen, 2015. "Do sharing people behave differently? An empirical evaluation of the distinctive mobility patterns of free-floating car-sharing members," Transportation, Springer, vol. 42(3), pages 449-469, May.
    9. Crainic, Teodor Gabriel & Perboli, Guido & Rosano, Mariangela, 2018. "Simulation of intermodal freight transportation systems: a taxonomy," European Journal of Operational Research, Elsevier, vol. 270(2), pages 401-418.
    10. repec:cdl:itsrrp:qt6wr90040 is not listed on IDEAS
    11. Changxi Ma & Ruichun He & Wei Zhang, 2018. "Path optimization of taxi carpooling," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-15, August.
    12. 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.
    13. repec:cdl:itsrrp:qt25x091bh is not listed on IDEAS
    14. Ye, Xin & Garikapati, Venu M. & You, Daehyun & Pendyala, Ram M., 2017. "A practical method to test the validity of the standard Gumbel distribution in logit-based multinomial choice models of travel behavior," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 173-192.
    15. repec:cdl:itsrrp:qt95j7g71k is not listed on IDEAS
    16. Cartenì, Armando & Cascetta, Ennio & de Luca, Stefano, 2016. "A random utility model for park & carsharing services and the pure preference for electric vehicles," Transport Policy, Elsevier, vol. 48(C), pages 49-59.
    17. Prieto, Marc & Baltas, George & Stan, Valentina, 2017. "Car sharing adoption intention in urban areas: What are the key sociodemographic drivers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 218-227.
    18. repec:cdl:itsrrp:qt8042k3d7 is not listed on IDEAS
    19. repec:cdl:itsrrp:qt4106z3tc is not listed on IDEAS
    20. Yajie Zou & John E. Ash & Byung-Jung Park & Dominique Lord & Lingtao Wu, 2018. "Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(9), pages 1652-1669, July.
    21. Catalano, Mario & Lo Casto, Barbara & Migliore, Marco, 2008. "Car sharing demand estimation and urban transport demand modelling using stated preference techniques," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 40, pages 33-50.
    22. Mounce, Richard & Nelson, John D., 2019. "On the potential for one-way electric vehicle car-sharing in future mobility systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 17-30.
    23. Weibo Li & Maria Kamargianni, 0. "Steering short-term demand for car-sharing: a mode choice and policy impact analysis by trip distance," Transportation, Springer, vol. 0, pages 1-33.
    24. Xin Ye & Ke Wang & Yajie Zou & Dominique Lord, 2018. "A semi-nonparametric Poisson regression model for analyzing motor vehicle crash data," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-17, May.
    25. Ruone Zhang & Xin Ye & Ke Wang & Dongjin Li & Jiayu Zhu, 2019. "Development of Commute Mode Choice Model by Integrating Actively and Passively Collected Travel Data," Sustainability, MDPI, vol. 11(10), pages 1-15, May.
    26. repec:cdl:itsrrp:qt6xt6d5jv is not listed on IDEAS
    27. Manski, Charles F & Lerman, Steven R, 1977. "The Estimation of Choice Probabilities from Choice Based Samples," Econometrica, Econometric Society, vol. 45(8), pages 1977-1988, November.
    28. Becker, Henrik & Ciari, Francesco & Axhausen, Kay W., 2017. "Comparing car-sharing schemes in Switzerland: User groups and usage patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 97(C), pages 17-29.
    29. 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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    Cited by:

    1. Ke Wang & Chandra R. Bhat & Xin Ye, 2023. "A multinomial probit analysis of shanghai commute mode choice," Transportation, Springer, vol. 50(4), pages 1471-1495, August.
    2. Zu, Jinyan & Kong, Hui & Xu, Yang & Zhang, Xiaohu, 2024. "Carsharing in China: Impact of system and urban factors on usage and efficiency," Journal of Transport Geography, Elsevier, vol. 117(C).
    3. Fan Gao & Jinjun Tang & Zhitao Li, 2022. "Effects of spatial units and travel modes on urban commuting demand modeling," Transportation, Springer, vol. 49(6), pages 1549-1575, December.

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