Hansheng Wang and Ke Xu) and the Center for Statistical Science at Peking University (Dr. Luping Sun the Business Intelligence Research Center at Peking University (Dr. Hansheng Wang National Natural Science Foundation of China (Grant No. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are within the paper and its Supporting Information files.įunding: This study is supported by National Natural Science Foundation of China (Grant No. Received: NovemAccepted: Published: June 8, 2018Ĭopyright: © 2018 Xu et al. Our findings contribute to the related literature and provide managerial implications for ride-hailing service providers.Ĭitation: Xu K, Sun L, Liu J, Wang H (2018) An empirical investigation of taxi driver response behavior to ride-hailing requests: A spatio-temporal perspective. 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.
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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 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. 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 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. Using data provided by a ride-hailing platform, this paper examines the factors that affect taxi driver response behavior to ride-hailing requests.
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