IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0198605.html
   My bibliography  Save this article

An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective

Author

Listed:
  • Ke Xu
  • Luping Sun
  • Jingchen Liu
  • Hansheng Wang

Abstract

Using data provided by a ride-hailing platform, this paper examines the factors that affect taxi driver response behavior to ride-hailing requests. The empirical investigation from a driver’s perspective is of great importance for ride-hailing service providers, given that approximately 40% of the hailing requests receive no response from any driver. To comprehensively understand taxi driver response behavior, we use a rich dataset to generate variables related to the spatio-temporal supply-demand intensities, the economic incentives, the requests’ and the drivers’ characteristics. The results show that drivers are more likely to respond to requests with economic incentives (especially a firm subsidy), and those with a lower spatio-temporal demand intensity or a higher spatio-temporal supply intensity. In addition, drivers are more likely to respond to requests involving rides covering a greater geographical distance and to those with a smaller number of repeated submissions. The drivers’ characteristics, namely, the number of requests received and the number of requests responded, however, have relatively little impacts on their response probability to the current request. Our findings contribute to the related literature and provide managerial implications for ride-hailing service providers.

Suggested Citation

  • Ke Xu & Luping Sun & Jingchen Liu & Hansheng Wang, 2018. "An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-17, June.
  • Handle: RePEc:plo:pone00:0198605
    DOI: 10.1371/journal.pone.0198605
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0198605
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0198605&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0198605?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. Junhong Chu & Puneet Manchanda, 2016. "Quantifying Cross and Direct Network Effects in Online Consumer-to-Consumer Platforms," Marketing Science, INFORMS, vol. 35(6), pages 870-893, November.
    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. Nair, Gopindra S. & Bhat, Chandra R. & Batur, Irfan & Pendyala, Ram M. & Lam, William H.K., 2020. "A model of deadheading trips and pick-up locations for ride-hailing service vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 289-308.
    2. Soichiro Takagi, 0. "Literature survey on the economic impact of digital platforms," International Journal of Economic Policy Studies, Springer, vol. 0, pages 1-16.
    3. Wang, Hai & Yang, Hai, 2019. "Ridesourcing systems: A framework and review," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 122-155.
    4. Soichiro Takagi, 2020. "Literature survey on the economic impact of digital platforms," International Journal of Economic Policy Studies, Springer, vol. 14(2), pages 449-464, August.

    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. Sören Wallbach & Katrin Coleman & Ralf Elbert & Alexander Benlian, 2019. "Multi-sided platform diffusion in competitive B2B networks: inhibiting factors and their impact on network effects," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 693-710, December.
    2. Jingjing Zhao & Yongli Li & Yunlong Ding & Chao Liu, 2019. "The value of leading customers in a crowdfunding-based marketing pattern," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-18, April.
    3. Myriam Ertz & Jonathan Deschênes & Emine Sarigöllü, 2021. "From User to Provider: Switching Over in the Collaborative Economy," Sustainability, MDPI, vol. 13(10), pages 1-21, May.
    4. Agnieszka Izabela Baruk, 2021. "Relationships between Final Purchasers and Offerors in the Context of Their Perception by Final Purchasers," Energies, MDPI, vol. 14(11), pages 1-15, June.
    5. Hai Long Duong & Junhong Chu & Dai Yao, 2023. "Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences," Management Science, INFORMS, vol. 69(1), pages 179-199, January.
    6. Christian Stummer & Dennis Kundisch & Reinhold Decker, 2018. "Platform Launch Strategies," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(2), pages 167-173, April.
    7. Hung‐Hao Chang & Chad D. Meyerhoefer, 2021. "COVID‐19 and the Demand for Online Food Shopping Services: Empirical Evidence from Taiwan," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 448-465, March.
    8. Jianxin Guo & Songqing Jin & Jichun Zhao & Yuhua Li, 2023. "E‐commerce and supply chain resilience during COVID‐19: Evidence from agricultural input e‐stores in China," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 369-393, June.
    9. Zhiyi Wang & Lusi Yang & Jungpil Hahn, 2023. "Winner Takes All? The Blockbuster Effect on Crowdfunding Platforms," Information Systems Research, INFORMS, vol. 34(3), pages 935-960, September.
    10. Kevin J. Boudreau, 2021. "Promoting Platform Takeoff and Self-Fulfilling Expectations: Field Experimental Evidence," Management Science, INFORMS, vol. 67(9), pages 5953-5967, September.
    11. Benedict G. C. Dellaert, 2019. "The consumer production journey: marketing to consumers as co-producers in the sharing economy," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 238-254, March.
    12. BELLEFLAMME Paul, & LAMBERT Thomas, & SCHWIENBACHER Armin,, 2019. "Crowdfunding dynamics," LIDAM Discussion Papers CORE 2019014, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    13. Keran Zhao & Yingda Lu & Yuheng Hu & Yili Hong, 2023. "Direct and Indirect Spillovers from Content Providers’ Switching: Evidence from Online Livestreaming," Information Systems Research, INFORMS, vol. 34(3), pages 847-866, September.
    14. Maggie X. Chen & Min Wu, 2021. "The Value of Reputation in Trade: Evidence from Alibaba," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 857-873, December.
    15. Jean‐François Houde & Peter Newberry & Katja Seim, 2023. "Nexus Tax Laws and Economies of Density in E‐Commerce: A Study of Amazon's Fulfillment Center Network," Econometrica, Econometric Society, vol. 91(1), pages 147-190, January.
    16. Li Xiong & Chengwen Wang & Zhaoran Xu, 2022. "Supply and demand matching model of P2P sharing accommodation platforms considering fairness," Electronic Commerce Research, Springer, vol. 22(3), pages 951-978, September.
    17. Richards, Timothy J. & Hamilton, Stephen F., 2018. "Food waste in the sharing economy," Food Policy, Elsevier, vol. 75(C), pages 109-123.
    18. Botao Yang & Sha Yang & Shantanu Dutta, 2022. "Platform Service Offering to Business Customers: Strategic Considerations in Engendering Seller Use of Marketing Tools," Marketing Science, INFORMS, vol. 41(2), pages 361-379, March.
    19. Guo, Jianxin & Jin, Songqing & Zhao, Jichun & Wang, Hongbiao & Zhao, Fang, 2022. "Has COVID-19 accelerated the E-commerce of agricultural products? Evidence from sales data of E-stores in China," Food Policy, Elsevier, vol. 112(C).
    20. Xu Zhang & Puneet Manchanda & Junhong Chu, 2021. "“Meet Me Halfway”: The Costs and Benefits of Bargaining," Marketing Science, INFORMS, vol. 40(6), pages 1081-1105, November.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0198605. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.