IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6595-d1122773.html
   My bibliography  Save this article

Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of China

Author

Listed:
  • Wenyuan Zhou

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China)

  • Xuanrong Li

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China)

  • Zhenguo Shi

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China)

  • Bingjie Yang

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China)

  • Dongxu Chen

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315832, China)

Abstract

This paper firstly analyzes the comparative advantages of carpooling under the mobile Internet and traditional travel modes, including buses, private cars and taxis, as well as the differences between carpooling under the mobile Internet and traditional carpooling, so as to obtain the factors that affect travelers’ mode choices. Secondly, the mixed logit model is used to describe the travelers’ travel mode choice behavior, which effectively avoids the limitations of the IIA characteristics and preference randomness of the logit model. Finally, we conducted an SP survey on 1077 samples online and offline. After eliminating some invalid samples, 984 valid ones were obtained. Based on these survey data, we analyze the impacts of carpooling under the mobile Internet on the mode shares of traditional travel modes. The results show that for different trip lengths, carpooling under the mobile Internet has different degrees of substitution for buses, taxis and private cars. That is to say, travelers who previously chose buses and other modes will shift to carpooling due to the mobile Internet. In addition, in most cases, the emergence of carpooling under the mobile Internet is helpful to reduce the traffic volume in the urban road network, thus alleviating the urban congestion. However, when the trip length is short and the seat utilization ratio of carpooling under the mobile Internet is low, carpooling under the mobile Internet will increase the traffic volume.

Suggested Citation

  • Wenyuan Zhou & Xuanrong Li & Zhenguo Shi & Bingjie Yang & Dongxu Chen, 2023. "Impact of Carpooling under Mobile Internet on Travel Mode Choices and Urban Traffic Volume: The Case of China," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6595-:d:1122773
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6595/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/8/6595/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Broach, Joseph & Dill, Jennifer & McNeil, Nathan Winslow, 2019. "Travel mode imputation using GPS and accelerometer data from a multi-day travel survey," Journal of Transport Geography, Elsevier, vol. 78(C), pages 194-204.
    2. Vanoutrive, Thomas & Van De Vijver, Elien & Van Malderen, Laurent & Jourquin, Bart & Thomas, Isabelle & Verhetsel, Ann & Witlox, Frank, 2012. "What determines carpooling to workplaces in Belgium: location, organisation, or promotion?," Journal of Transport Geography, Elsevier, vol. 22(C), pages 77-86.
    3. Yi, Xu & Lian, Feng & Yang, Zhongzhen, 2022. "Research on commuters’ carpooling behavior in the mobile internet context," Transport Policy, Elsevier, vol. 126(C), pages 14-25.
    4. Bhat, Chandra R., 2001. "Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model," Transportation Research Part B: Methodological, Elsevier, vol. 35(7), pages 677-693, August.
    5. Khandker Nurul Habib & Yuan Tian & Hamid Zaman, 2011. "Modelling commuting mode choice with explicit consideration of carpool in the choice set formation," Transportation, Springer, vol. 38(4), pages 587-604, July.
    6. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    7. Clewlow, Regina R. & Mishra, Gouri S., 2017. "Disruptive Transportation: The Adoption, Utilization, and Impacts of Ride-Hailing in the United States," Institute of Transportation Studies, Working Paper Series qt82w2z91j, Institute of Transportation Studies, UC Davis.
    8. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    9. Schwieterman, Joseph & Smith, C. Scott, 2018. "Sharing the ride: A paired-trip analysis of UberPool and Chicago Transit Authority services in Chicago, Illinois," Research in Transportation Economics, Elsevier, vol. 71(C), pages 9-16.
    10. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan & Stephan, Konrad, 2021. "Optimizing carpool formation along high-occupancy vehicle lanes," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1097-1112.
    11. VANOUTRIVE, Thomas & VAN CDE VIJVER, Elien & VAN MALDEREN, Lautrent & JOURQUIN, Bart, 2012. "What determines carpooling to workplaces in Belgium: location, organisation, or promotion?," LIDAM Reprints CORE 2418, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Suresh Malodia & Harish Singla, 2016. "A study of carpooling behaviour using a stated preference web survey in selected cities of India," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(5), pages 538-550, July.
    13. Shaheen, Susan PhD & Cohen, Adam MCRP & Bayen, Alexandre PhD, 2024. "The Benefits of Carpooling," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7jx6z631, Institute of Transportation Studies, UC Berkeley.
    14. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.
    15. Wang, Rui, 2011. "Shaping carpool policies under rapid motorization: the case of Chinese cities," Transport Policy, Elsevier, vol. 18(4), pages 631-635, August.
    16. Abrahamse, Wokje & Keall, Michael, 2012. "Effectiveness of a web-based intervention to encourage carpooling to work: A case study of Wellington, New Zealand," Transport Policy, Elsevier, vol. 21(C), pages 45-51.
    17. Hess, Stephane & Polak, John W., 2005. "Mixed logit modelling of airport choice in multi-airport regions," Journal of Air Transport Management, Elsevier, vol. 11(2), pages 59-68.
    18. Schaller, Bruce, 2021. "Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities," Transport Policy, Elsevier, vol. 102(C), pages 1-10.
    19. Correia, Gonçalo & Viegas, José Manuel, 2011. "Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 81-90, February.
    20. Barajas, Jesus M. & Brown, Anne, 2021. "Not minding the gap: Does ride-hailing serve transit deserts?," Journal of Transport Geography, Elsevier, vol. 90(C).
    21. Alejandro Henao & Wesley E. Marshall, 2019. "The impact of ride-hailing on vehicle miles traveled," Transportation, Springer, vol. 46(6), pages 2173-2194, December.
    22. Zhong, Lin & Zhang, Kenan & (Marco) Nie, Yu & Xu, Jiuping, 2020. "Dynamic carpool in morning commute: Role of high-occupancy-vehicle (HOV) and high-occupancy-toll (HOT) lanes," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 98-119.
    23. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    24. Long, Jiancheng & Tan, Weimin & Szeto, W.Y. & Li, Yao, 2018. "Ride-sharing with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 143-171.
    25. Young, Mischa & Allen, Jeff & Farber, Steven, 2020. "Measuring when Uber behaves as a substitute or supplement to transit: An examination of travel-time differences in Toronto," Journal of Transport Geography, Elsevier, vol. 82(C).
    Full references (including those not matched with items on IDEAS)

    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. Lazarus, Jessica R. & Caicedo, Juan D. & Bayen, Alexandre M. & Shaheen, Susan A., 2021. "To Pool or Not to Pool? Understanding opportunities, challenges, and equity considerations to expanding the market for pooling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 199-222.
    2. Yi, Xu & Lian, Feng & Yang, Zhongzhen, 2022. "Research on commuters’ carpooling behavior in the mobile internet context," Transport Policy, Elsevier, vol. 126(C), pages 14-25.
    3. María del Carmen Rey-Merchán & Antonio López-Arquillos & Manuela Pires Rosa & Jesús Manuel Gómez-de-Gabriel, 2022. "Proposal for an Institutional Carpooling System among Workers from the Public-Education Sector," Sustainability, MDPI, vol. 14(21), pages 1-10, November.
    4. Saxena, Aditya & Gupta, Vallary, 2023. "Carpooling: Who is closest to adopting it? An investigation into the potential car-poolers among private vehicle users: A case of a developing country, India," Transport Policy, Elsevier, vol. 135(C), pages 11-20.
    5. Julie Bulteau & Thierry Feuillet & Sophie Dantan, 2019. "Carpooling and carsharing for commuting in the Paris region: A comprehensive exploration of the individual and contextual correlates of their uses," Post-Print hal-02113257, HAL.
    6. Monchambert, Guillaume, 2020. "Why do (or don’t) people carpool for long distance trips? A discrete choice experiment in France," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 911-931.
    7. Anne Aguiléra & Eléonore Pigalle, 2021. "The Future and Sustainability of Carpooling Practices. An Identification of Research Challenges," Sustainability, MDPI, vol. 13(21), pages 1-16, October.
    8. Cohen, Maxime C. & Jacquillat, Alexandre & Ratzon, Avia & Sasson, Roy, 2022. "The impact of high-occupancy vehicle lanes on carpooling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 186-206.
    9. Saad AlQuhtani, 2022. "Ridesharing as a Potential Sustainable Transportation Alternative in Suburban Universities: The Case of Najran University, Saudi Arabia," Sustainability, MDPI, vol. 14(8), pages 1-18, April.
    10. Jun Guan Neoh & Maxwell Chipulu & Alasdair Marshall, 2017. "What encourages people to carpool? An evaluation of factors with meta-analysis," Transportation, Springer, vol. 44(2), pages 423-447, March.
    11. Zhang, Zhaolin & Zhai, Guocong & Xie, Kun & Xiao, Feng, 2022. "Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego," Journal of Transport Geography, Elsevier, vol. 104(C).
    12. Gheorghiu, Alexandra & Delhomme, Patricia, 2018. "For which types of trips do French drivers carpool? Motivations underlying carpooling for different types of trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 460-475.
    13. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    14. Anfeng Xu & Jiming Chen & Zihui Liu, 2021. "Exploring the Effects of Carpooling on Travelers’ Behavior during the COVID-19 Pandemic: A Case Study of Metropolitan City," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    15. Yao, Jia & Cheng, Zhanhong & Shi, Feng & An, Shi & Wang, Jian, 2018. "Evaluation of exclusive bus lanes in a tri-modal road network incorporating carpooling behavior," Transport Policy, Elsevier, vol. 68(C), pages 130-141.
    16. Hess, Stephane, 2007. "Posterior analysis of random taste coefficients in air travel behaviour modelling," Journal of Air Transport Management, Elsevier, vol. 13(4), pages 203-212.
    17. Monchambert, Guillaume, 2020. "Why do (or don’t) people carpool for long distance trips? A discrete choice experiment in France," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 911-931.
    18. Neoh, Jun Guan & Chipulu, Maxwell & Marshall, Alasdair & Tewkesbury, Adam, 2018. "How commuters’ motivations to drive relate to propensity to carpool: Evidence from the United Kingdom and the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 128-148.
    19. Birolini, Sebastian & Malighetti, Paolo & Redondi, Renato & Deforza, Paolo, 2019. "Access mode choice to low-cost airports: Evaluation of new direct rail services at Milan-Bergamo airport," Transport Policy, Elsevier, vol. 73(C), pages 113-124.
    20. Leonidas G. Anthopoulos & Dimitrios N. Tzimos, 2021. "Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review," Sustainability, MDPI, vol. 13(19), pages 1-29, September.

    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:gam:jsusta:v:15:y:2023:i:8:p:6595-:d:1122773. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.