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

机译:出租车司机对乘车请求响应行为的实证研究:时空视角

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摘要

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.
机译:本文使用乘车平台提供的数据,研究了影响出租车驾驶员对乘车请求响应行为的因素。从乘车人的角度进行的经验调查对于乘车服务提供商来说非常重要,因为大约有40%的呼唤请求没有得到任何驾驶员的回应。为了全面了解出租车驾驶员的反应行为,我们使用了一个丰富的数据集来生成与时空供求强度,经济诱因,要求和驾驶员特征有关的变量。结果表明,驾驶员更有可能以经济激励措施(特别是坚定的补贴)来响应需求,而时空需求强度较低或时空供应强度较高的驾驶员。此外,驾驶员更有可能响应涉及更大地理距离的游乐设施的请求,以及对重复提交次数较少的请求。驾驶员的特征,即接收到的请求数和已响应的请求数,对他们对当前请求的响应概率的影响相对较小。我们的发现有助于相关文献,并为乘车服务提供商提供管理上的启示。

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