Chen, Xu (Columbia University), Fang, Bowen (Columbia University), Di, Xuan (Columbia University)

A Unified Network Equilibrium for Integrated Shared Mobility Services

Scheduled for presentation during the Video Session "On-Demand Video Presentations" (VP-VP), Saturday, November 22, 2025, 08:00−18:00, On-Demand Platform

2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC), November 18-21, 2025, Gold Coast, Australia

This information is tentative and subject to change. Compiled on April 2, 2026

Abstract

This paper aims to combine both economic and network user equilibrium for ride-hailing and ride-sharing services. This paper proposes a unified network equilibrium framework that incorporates three key components: travelers' mode choices, e-platforms’ decisions on vehicle dispatch and driver-passenger matching, and network congestion effects. The framework evaluates the impact of e-platform operational strategies on system performance, including deadhead miles and total system travel time. Numerical experiments on the Sioux Falls network demonstrate how congestion, search friction, and private vehicle ownership influence equilibrium outcomes and provide insights into optimizing e-platform operations. Our key finding is, high e-pooling price and high matching friction could make roads more congested and in turn hurt e-pooling demands further. To promote pooling service, policy makers and planners should consider taking a series of countermeasures, including subsidy to pooling customers or to e-hailing platforms, congestion pricing to e-solo customers, and regulation. The proposed equilibrium framework can efficiently assist policymakers and urban planners to evaluate the impact of e-hailing and ride-sharing services on traffic congestion.