A ridesplitting market equilibrium model with utility-based compensation pricing

被引:0
作者
Lu, Qing-Long [1 ]
Qurashi, Moeid [1 ]
Antoniou, Constantinos [1 ]
机构
[1] Tech Univ Munich, TUM Sch Engn & Design, Chair Transportat Syst Engn, Munich, Germany
关键词
Ridesplitting; Market equilibrium; Pricing; Equity; Level of services; TAXI SERVICES; REAL-TIME; RIDE; CONGESTION; BEHAVIOR; OPTIMIZATION; COMPETITION; STRATEGIES; NETWORK; SET;
D O I
10.1007/s11116-022-10339-z
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The paper develops a theoretic equilibrium model for ridesplitting markets with specific considerations of origin-destination demand patterns, competition with other transport modes, characteristics of en route matching, and spatial allocation of ridesplitting vehicles, to adequately portray the intertwined relationships between the endogenous variables and decisions. The operation property of the market under distance-based unified pricing is analyzed through the response of system performance indicators to the decisions. Moreover, a gradient descent algorithm is derived to find optimal operating strategies in the monopoly scenario and social optimum scenario. Leveraging the tight connection between trip's utility and level of service (LoS), the paper then proposes a utility-based compensation pricing method to alleviate the inequity issue in ridesplitting, which results from the variance in waiting time and detour time and the implementation of unified pricing. Specifically, the trip fare of those with an initial utility smaller than a threshold will be compensated following a predefined compensation function. We compare its effectiveness and influence in different scenarios through numerical experiments at Munich. The results show that the proposed pricing method can improve the LoS and equity without losing any profit and welfare, and can even achieve increments in maximum profit and social welfare under certain conditions.
引用
收藏
页码:439 / 474
页数:36
相关论文
共 64 条
[1]   Characterizing the adoption and frequency of use of a pooled rides service [J].
Abouelela, Mohamed ;
Tirachini, Alejandro ;
Chaniotakis, Emmanouil ;
Antoniou, Constantinos .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2022, 138
[2]   Optimization for dynamic ride-sharing: A review [J].
Agatz, Niels ;
Erera, Alan ;
Savelsbergh, Martin ;
Wang, Xing .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2012, 223 (02) :295-303
[3]  
Alexander LP, 2015, Proc. Urbcomp, P1
[4]   On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment [J].
Alonso-Mora, Javier ;
Samaranayake, Samitha ;
Wallar, Alex ;
Frazzoli, Emilio ;
Rus, Daniela .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (03) :462-467
[5]   ALLOCATION, CONGESTION, AND VALUATION OF RECREATIONAL RESOURCES [J].
ANDERSON, FJ ;
BONSOR, NC .
LAND ECONOMICS, 1974, 50 (01) :51-57
[6]   EXISTENCE OF AN EQUILIBRIUM FOR A COMPETITIVE ECONOMY [J].
Arrow, Kenneth J. ;
Debreu, Gerard .
ECONOMETRICA, 1954, 22 (03) :265-290
[7]   Spatial Pricing in Ride-Sharing Networks [J].
Bimpikis, Kostas ;
Candogan, Ozan ;
Saban, Daniela .
OPERATIONS RESEARCH, 2019, 67 (03) :744-769
[8]   Competition and regulation in the taxi industry [J].
Cairns, RD ;
ListonHeyes, C .
JOURNAL OF PUBLIC ECONOMICS, 1996, 59 (01) :1-15
[9]   Labor supply of New York City cabdrivers: One day at a time [J].
Camerer, C ;
Babcock, L ;
Loewenstein, G ;
Thaler, R .
QUARTERLY JOURNAL OF ECONOMICS, 1997, 112 (02) :407-441
[10]   Dynamic Pricing in a Labor Market: Surge Pricing and Flexible Work on the Uber Platform [J].
Chen, M. Keith .
EC'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON ECONOMICS AND COMPUTATION, 2016, :455-455