IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v82y2020ics0966692319305149.html
   My bibliography  Save this article

Analysis of the potential demand for battery electric vehicle sharing: Mode share and spatiotemporal distribution

Author

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

Abstract

Carsharing is considered one of the solutions to urban transport problems. As a new mode in the urban transport system in China, there are still initial questions of how carsharing will perform and what the impacts will be. Accordingly, this study considers battery electric vehicle sharing and investigates its potential demand, with Beijing as the case study. A nested logit model is established and calibrated to analyze mode choice behavior. Further, real trip data is used to estimate the potential demand for battery electric vehicle sharing. In addition, the temporal and spatial distribution of potential demand, the impact of battery electric vehicle sharing on the mode split, and the impact of pricing strategies are analyzed. The results show that an optimistic mode split of battery electric vehicle sharing is 4.23% when the average distance between travelers and stations is 0.5 km. The main source of potential demand is public transport. However, the substitution effect of battery electric vehicle sharing for private vehicles is weak. The potential trips are concentrated in the morning peak period, mainly starting in residential or integrative areas, and ending in commercial areas or green spaces. Commuting and long-distance trips are more sensitive to decreases in price, such that they are more likely to be completed as battery electric vehicle sharing trips. This price decrease could also increase the potential trip ratio during the evening peak period. These findings are useful to governments and operators for implementing policies such as station planning, relocation, and pricing strategies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:jotrge:v:82:y:2020:i:c:s0966692319305149
    DOI: 10.1016/j.jtrangeo.2019.102630
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692319305149
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.jtrangeo.2019.102630?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    3. 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.
    4. Kevin Washbrook & Wolfgang Haider & Mark Jaccard, 2006. "Estimating commuter mode choice: A discrete choice analysis of the impact of road pricing and parking charges," Transportation, Springer, vol. 33(6), pages 621-639, November.
    5. Coll, Marie-Hélène & Vandersmissen, Marie-Hélène & Thériault, Marius, 2014. "Modeling spatio-temporal diffusion of carsharing membership in Québec City," Journal of Transport Geography, Elsevier, vol. 38(C), pages 22-37.
    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. Martin, Elliot W. & Shaheen, Susan A., 2014. "Evaluating public transit modal shift dynamics in response to bikesharing: a tale of two U.S. cities," Journal of Transport Geography, Elsevier, vol. 41(C), pages 315-324.
    8. Ying Hui & Mengtao Ding & Kun Zheng & Dong Lou, 2017. "Observing Trip Chain Characteristics of Round-Trip Carsharing Users in China: A Case Study Based on GPS Data in Hangzhou City," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    9. Martin, Elliot PhD & Shaheen, Susan PhD, 2014. "Evaluating Public Transit Modal Shift Dynamics In Response to Bikesharing: A Tale of Two U.S. Cities," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6x29n876, Institute of Transportation Studies, UC Berkeley.
    10. 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.
    11. Zhang, Rui & Yao, Enjian & Liu, Zhili, 2017. "School travel mode choice in Beijing, China," Journal of Transport Geography, Elsevier, vol. 62(C), pages 98-110.
    12. 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.
    13. Martin, Elliot W & Shaheen, Susan A, 2011. "Greenhouse Gas Emission Impacts of Carsharing in North America," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6wr90040, Institute of Transportation Studies, UC Berkeley.
    14. Namdeo, A. & Tiwary, A. & Dziurla, R., 2014. "Spatial planning of public charging points using multi-dimensional analysis of early adopters of electric vehicles for a city region," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 188-200.
    15. 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.
    16. Wang, Mingquan & Martin, Elliot W & Shaheen, Susan A, 2012. "Carsharing in Shanghai, China: Analysis of Behavioural Response to Local Survey and Potential Competition," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4106z3tc, Institute of Transportation Studies, UC Berkeley.
    17. 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.
    18. 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.
    19. Correia, Gonçalo Homem de Almeida & Antunes, António Pais, 2012. "Optimization approach to depot location and trip selection in one-way carsharing systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(1), pages 233-247.
    20. 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.
    21. Rotaris, Lucia & Danielis, Romeo, 2018. "The role for carsharing in medium to small-sized towns and in less-densely populated rural areas," Transportation Research Part A: Policy and Practice, Elsevier, vol. 115(C), pages 49-62.
    22. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yong Wang & Jingxin Zhou & Yaoyao Sun & Xiuwen Wang & Jiayi Zhe & Haizhong Wang, 2022. "Electric Vehicle Charging Station Location-Routing Problem with Time Windows and Resource Sharing," Sustainability, MDPI, vol. 14(18), pages 1-31, September.
    2. Hong Gao & Kai Liu & Xinchao Peng & Cheng Li, 2020. "Optimal Location of Fast Charging Stations for Mixed Traffic of Electric Vehicles and Gasoline Vehicles Subject to Elastic Demands," Energies, MDPI, vol. 13(8), pages 1-16, April.
    3. Zhou, Yu & Chen, Yang & Liu, Shenyan & Kou, Gang, 2024. "Availability simulation and transfer prediction for bike sharing systems based on discrete event simulation," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Stefan Illgen & Michael Höck, 2020. "Establishing car sharing services in rural areas: a simulation-based fleet operations analysis," Transportation, Springer, vol. 47(2), pages 811-826, April.
    3. Yoon-Young Chun & Mitsutaka Matsumoto & Kiyotaka Tahara & Kenichiro Chinen & Hideki Endo, 2019. "Exploring Factors Affecting Car Sharing Use Intention in the Southeast-Asia Region: A Case Study in Java, Indonesia," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    4. Yixi Xue & Yi Zhang & Yi Chen, 2019. "An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    5. Golalikhani, Masoud & Oliveira, Beatriz Brito & Carravilla, Maria Antónia & Oliveira, José Fernando & Antunes, António Pais, 2021. "Carsharing: A review of academic literature and business practices toward an integrated decision-support framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    6. Rotaris, Lucia & Danielis, Romeo & Maltese, Ila, 2019. "Carsharing use by college students: The case of Milan and Rome," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 239-251.
    7. Maria Juschten & Timo Ohnmacht & Vu Thi Thao & Regine Gerike & Reinhard Hössinger, 2019. "Carsharing in Switzerland: identifying new markets by predicting membership based on data on supply and demand," Transportation, Springer, vol. 46(4), pages 1171-1194, August.
    8. Leiming Li & Yu Zhang, 2023. "An extended theory of planned behavior to explain the intention to use carsharing: a multi-group analysis of different sociodemographic characteristics," Transportation, Springer, vol. 50(1), pages 143-181, February.
    9. Circella, Giovanni & Alemi, Farzad & Tiedeman, Kate & Handy, Susan & Mokhtarian, Patricia, 2018. "The Adoption of Shared Mobility in California and Its Relationship with Other Components of Travel Behavior," Institute of Transportation Studies, Working Paper Series qt1kq5d07p, Institute of Transportation Studies, UC Davis.
    10. Xiaowei Chen & Hongyu Zheng & Ze Wang & Xiqun Chen, 2021. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires," Transportation, Springer, vol. 48(4), pages 1541-1561, August.
    11. Pan, Alexandra Q. & Martin, Elliot W. & Shaheen, Susan A., 2022. "Is access enough? A spatial and demographic analysis of one-way carsharing policies and practice," Transport Policy, Elsevier, vol. 127(C), pages 103-115.
    12. Teng Yu & Yajun Zhang & Ai Ping Teoh & Anchao Wang & Chengliang Wang, 2023. "Factors Influencing University Students’ Behavioral Intention to Use Electric Car-Sharing Services in Guangzhou, China," SAGE Open, , vol. 13(4), pages 21582440231, November.
    13. Circella, Giovanni & Tiedeman, Kate & Handy, Susan & Alemi, Farzad & Mokhtarian, Patricia, 2016. "What Affects U.S. Passenger Travel? Current Trends and Future Perspectives," Institute of Transportation Studies, Working Paper Series qt2w16b8bf, Institute of Transportation Studies, UC Davis.
    14. 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.
    15. Illgen, Stefan & Höck, Michael, 2019. "Literature review of the vehicle relocation problem in one-way car sharing networks," Transportation Research Part B: Methodological, Elsevier, vol. 120(C), pages 193-204.
    16. Junhee Kang & Keeyeon Hwang & Sungjin Park, 2016. "Finding Factors that Influence Carsharing Usage: Case Study in Seoul," Sustainability, MDPI, vol. 8(8), pages 1-12, July.
    17. Sweet, Matthias N. & Scott, Darren M., 2021. "Shared mobility adoption from 2016 to 2018 in the Greater Toronto and Hamilton Area: Demographic or geographic diffusion?," Journal of Transport Geography, Elsevier, vol. 96(C).
    18. 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.
    19. Zhang, Si & Sun, Huijun & Liu, Yang & Lv, Ying & Wu, Jianjun & Feng, Xiaoyan, 2024. "Carsharing equitable relocation problem: A two-stage stochastic programming approach with learning-embedded endogenous uncertainty in demand," Transportation Research Part B: Methodological, Elsevier, vol. 179(C).
    20. Shichao Sun & Yuanqian Liu & Yukun Yao & Zhengyu Duan & Xiaokun Wang, 2021. "The Determinants to Promote College Students’ Use of Car-Sharing: An Empirical Study at Dalian Maritime University, China," Sustainability, MDPI, vol. 13(12), pages 1-12, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jotrge:v:82:y:2020:i:c:s0966692319305149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-transport-geography .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.