Economic analysis of ridesourcing markets considering driver order cancellation and platform subsidy

IF 5.1 2区 工程技术 Q1 TRANSPORTATION Travel Behaviour and Society Pub Date : 2024-04-03 DOI:10.1016/j.tbs.2024.100795
Kai Xu , Meead Saberi , Tian-Liang Liu , Wei Liu
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Abstract

This paper models the ridesourcing market with an explicit consideration of driver order cancellation, and examines the impacts of driver order cancellation on the market. The operation strategy (service pricing, fleet sizing, subsidy to drivers) of the ridesourcing platform has been examined in the presence of driver order cancellation, where the operator maximizes platform profit or social welfare. It is found that the maximum platform profit and/or rider demand after considering driver order cancellation will be smaller than those when order cancellation from drivers is not considered (baseline scenario), i.e., ignoring driver order cancellation will overestimate profit and social welfare. Our results also show that subsidy to drivers to avoid driver order cancellation should be properly set, while compensating the drivers for the whole pickup distance may indeed reduce platform profit when demand is excessive or supply is insufficient.

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考虑司机订单取消和平台补贴的顺风车市场经济分析
本文建立了明确考虑司机取消订单的顺风车市场模型,并研究了司机取消订单对市场的影响。在司机订单取消的情况下,研究了顺风车平台的运营策略(服务定价、车队规模、对司机的补贴),即运营商实现平台利润或社会福利最大化。研究发现,考虑司机取消订单后,平台利润和/或乘客需求的最大值会小于不考虑司机取消订单时(基线情景)的最大值,也就是说,忽略司机取消订单会高估利润和社会福利。我们的结果还表明,为避免司机取消订单,应适当设定对司机的补贴,而当需求过大或供给不足时,补偿司机整个接单距离确实可能会减少平台利润。
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来源期刊
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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