Work

The Taxi‐Sharing: User Equilibrium, System Optimum and Pricing Scheme Design

Year: 2025

Type: article

Abstract: ABSTRACT Taxi‐sharing service involves three stakeholders: passengers, taxi drivers and platform. From the interests of different stakeholders, taxi‐sharing equilibrium assignment and taxi‐sharing system optimum assignment can be obtained which may be not consistent with each other. This paper addresses two decisions for taxi‐sharing service: matching passengers and taxis and pricing with compensation. Nonlinear equations are formulated to describe the equilibrium assignment of taxis to passengers. A price scheme is designed to steer a taxi‐sharing equilibrium assignment to a system optimum assignment. The models of taxi‐sharing equilibrium assignment, optimum assignment, equilibrium assignment with compensation and the algorithm for finding optimum compensation vectors are validated by case studies based on data of Dalian taxi companies. The findings show that in some cases, a sub‐optimal assignment is achieved. After relaxing the equilibrium constraint, most of the cases can get system optimum assignment by compensations.

Source: IET Intelligent Transport Systems

DOI: 10.1049/itr2.70043

Authors: Zixuan Peng, Peng Jia

Institutions: Beijing Jiaotong University, Dalian Maritime University

Language: English

Topic: Transportation and Mobility Innovations

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: gold

Estimated APC paid: $2,790