作者:Wang, JP (Wang, Jing-Peng)[ 1 ] ; Ban, XG (Ban, Xuegang (Jeff))[ 2 ] ; Huang, HJ (Huang, Hai-Jun)[ 1,3 ]
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
卷: 122
页: 390-415
DOI: 10.1016/j.trb.2019.03.006
出版年: APR 2019
文献类型:Article
摘要
This paper investigates the dynamic ridesharing with the variable-ratio charging compensation scheme (VCS) in morning commute, with the continuous-time point-queue model applied to a single bottleneck. The optimal VCS without imposing road pricing when the ridesharing platform minimizes the disutility or maximizes its profit is analyzed. It is found that the user equilibrium coincides with the system optimum when the platform minimizes the system disutility with VCS, and the corresponding platform's profit is negative with high travel demand. Considering this, the optimal VCS when the platform minimizes the system disutility with zero profit is examined. Moreover, to ensure ridesharing participants commute with no queue, they need to depart at the two tails of the departure time window. Under that case, the optimal VCS are investigated with desirable objectives of the ridesharing platform. The analytical results indicate there should be fewer commuters involved in ridesharing when the platform maximizes its profit compared to that when the platform minimizes the system disutility with zero profit. (C) 2019 Elsevier Ltd. All rights reserved.
关键词
作者关键词:Dynamic ridesharing; Variable-ratio charging-compensation scheme; Bottleneck congestion; Morning commute
KeyWords Plus:USER EQUILIBRIUM; MODELS; ECONOMICS; SYSTEM
作者信息
通讯作者地址:
University of Washington University of Washington Seattle Univ Washington, Dept Civil & Environm Engn, 121 G More Hall, Seattle, WA 98195 USA.
通讯作者地址: Ban, XG (通讯作者)
Univ Washington, Dept Civil & Environm Engn, 121 G More Hall, Seattle, WA 98195 USA.
地址:
[ 1 ] Beihang Univ, Sch Econ & Management, Beijing 100191, Peoples R China
[ 2 ] Univ Washington, Dept Civil & Environm Engn, 121 G More Hall, Seattle, WA 98195 USA
[ 3 ] Minist Educ, Lab Complex Syst Anal & Management Decis, Beijing, Peoples R China
