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

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  • 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
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    References listed on IDEAS

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    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.
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    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. Jayita Chakraborty & Debapratim Pandit & Jianhong Xia & Felix Chan, 2024. "Modeling the decision of ridesourcing drivers to park and wait at trip ends: a comparison between Perth, Australia and Kolkata, India," Transportation, Springer, vol. 51(3), pages 1089-1124, June.
    5. 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.

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