Taxi-hailing platforms: Inform or Assign drivers?

doi:10.1016/j.trb.2020.10.001

CSpace

	Taxi-hailing platforms: Inform or Assign drivers?
	Sun, Luoyi 1,4; Teunter, Ruud H.2; Hua, Guowei 1; Wu, Tian 3,5
	2020-12-01
发表期刊	TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
ISSN	0191-2615
卷号	142 页码:197-212
摘要	Online platforms for matching supply and demand, as part of the sharing economy, are becoming increasingly important in practice and have seen a steep increase in academic interest. Especially in the taxi/travel industry, platforms such as Uber, Lyft, and Didi Chuxing have become major players. Some of these platforms, including Didi Chuxing, operate two matching systems: Inform, where multiple drivers receive ride details and the first to respond is selected; and Assign, where the platform assigns the driver nearest to the customer. The Inform system allows drivers to select their destinations, but the Assign system minimizes driver-customer distances. This research is the first to explore: (i) how a platform should allocate customer requests to the two systems and set the maximum matching radius (i.e., customer-driver distance), with the objective to minimize the overall average waiting times for customers; and (ii) how taxi drivers select a system, depending on their varying degrees of preference for certain destinations. Using approximate queuing analysis, we derive the optimal decisions for the platform and drivers. These are applied to real-world data from Didi Chuxing, revealing the following managerial insights. The optimal radius is 1-3 kilometers, and is lower during rush hour. For most considered settings, it is optimal to allocate relatively few rides to the Inform system. Most interestingly, if destination selection becomes more important to the average driver, then the platform should not always allocate more requests to the Inform system. Although this may seem counterintuitive, allocating too many orders to that system would result in many drivers opting for it, leading to very high waiting times in the Assign system. (c) 2020 Elsevier Ltd. All rights reserved.
关键词	Sharing economy Two-sided market Peer-to-peer market Ride-sourcing platform
DOI	10.1016/j.trb.2020.10.001
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[71831001] ; National Natural Science Foundation of China[71804181]
WOS研究方向	Business & Economics ; Engineering ; Operations Research & Management Science ; Transportation
WOS类目	Economics ; Engineering, Civil ; Operations Research & Management Science ; Transportation ; Transportation Science & Technology
WOS记录号	WOS:000592551100010
出版者	PERGAMON-ELSEVIER SCIENCE LTD
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/52502
专题	中国科学院数学与系统科学研究院
通讯作者	Hua, Guowei
作者单位	1.Beijing Jiaotong Univ, Beijing, Peoples R China 2.Univ Groningen, POB 72, NL-9700 AB Groningen, Netherlands 3.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China 4.3 Shangyuancun, Beijing, Peoples R China 5.55 East Zhongguancun Rd, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Sun, Luoyi,Teunter, Ruud H.,Hua, Guowei,et al. Taxi-hailing platforms: Inform or Assign drivers?[J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL,2020,142:197-212.
APA	Sun, Luoyi,Teunter, Ruud H.,Hua, Guowei,&Wu, Tian.(2020).Taxi-hailing platforms: Inform or Assign drivers?.TRANSPORTATION RESEARCH PART B-METHODOLOGICAL,142,197-212.
MLA	Sun, Luoyi,et al."Taxi-hailing platforms: Inform or Assign drivers?".TRANSPORTATION RESEARCH PART B-METHODOLOGICAL 142(2020):197-212.