Does e-hailing perform better than on-street searching?An investigation based on the temporal-spatial distributions of idle vehicles  

作　　者：Juwen GUAN Yue BAO 

机构地区：[1]Tsinghua Shenzhen International Graduate School,Tsinghua University,Shenzhen 518000,China [2]School of Systems Science,Beijing Jiaotong University,Beijing 100044,China

出　　处：《Frontiers of Engineering Management》2024年第4期710-720,共11页工程管理前沿（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.72361137002 and 72288101);the Fundamental Research Funds for the Central Universities(Grant No.2023XKRC038).

摘　　要：This paper investigates whether e-hailing performs better than on-street searching for taxi services.By adopting the Poission point process to model the temporal-spatial distributions of idle vehicles,passengers’waiting time distributions of on-street searching and ehailing are explicitly modeled,and closed-form results of their expected waiting time are given.It is proved that whether e-hailing performs better than on-street searching mainly depends on the density of idle vehicles within the matching area and the matching period.It is proved that given the advantage of e-hailing in rapidly pairing passengers and idle vehicles,the expected waiting time for onstreet searching is always longer than that of e-hailing as long as the number of idle vehicles within a passenger’s dominant temporal-spatial area is lower than 4/π.Moreover,we extend our analysis to explore the market equilibria for both e-hailing and on-street searching,and present the equilibrium conditions for a taxi market operating under ehailing versus on-street searching.With a special reciprocal passenger demand function,it is shown that the performance difference between e-hailing and on-street searching is mainly determined by the ratio of fleet size to maximum potential passenger demand.It suggests that e-hailing can achieve a higher capacity utilization rate of vehicles than on-street searching when vehicle density is relatively low.Furthermore,it is shown that an extended average trip duration improves the chance that e-hailing performs better than on-street searching.The optimal vehicle fleet sizes to maximize the total social welfare/profit are then analyzed,and the corresponding maximization problems are formulated.

关 键 词：taxi services on-street searching e-hailing service passenger waiting time 

分 类 号：TM615[电气工程—电力系统及自动化] F426.61[经济管理—产业经济]