A Multi-Modal Route Choice Model with Ridesharing and Public Transit

Meng Li,Haijun Huang,Guowei Hua

doi:10.3390/su10114275

Meng Li, Haijun Huang + Show 1 more

Open Access

https://doi.org/10.3390/su10114275

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Journal: Sustainability	Publication Date: Nov 19, 2018
Citations: 8	License type: CC BY 4.0

Affiliation: Beijing Jiaotong University, Beihang University

Abstract

With the extensive use of smart-phone applications and online payment systems, more travelers choose to participate in ridesharing activities. In this paper, a multi-modal route choice model is proposed by incorporating ridesharing and public transit in a single-origin-destination (OD)-pair network. Due to the presence of ridesharing, travelers not only choose routes (including main road and side road), but also decide travel modes (including solo driver, ridesharing driver, ridesharing passenger, and transit passenger) to minimize travelers’ generalized travel cost (not their actual travel cost due to the existence of car capacity constraints). The proposed model is expressed as an equivalent complementarity problem. Finally, the impacts of key factors on ridesharing behavior in numerical examples are discussed. The equilibrium results show that passengers’ rewards and toll charge of solo drivers on main road significantly affect the travelers’ route and mode choice behavior, and an increase of passengers’ rewards (toll) motivates (forces) more travelers to take environmentally friendly travel modes.

Highlights

With the economic development in big cities and the explosion of population, the number of vehicles has been increasing rapidly, and traffic congestion has been a severe problem that is faced by travelers in metropolis every day [1,2,3,4]
It is noted that the generalized travel cost of drivers and passengers should be same at the ridesharing user equilibrium (RUE) state
We have proposed a traffic assignment models integrating ridesharing and public transit into a single-OD-pair network

Summary

Introduction

With the economic development in big cities and the explosion of population, the number of vehicles has been increasing rapidly, and traffic congestion has been a severe problem that is faced by travelers in metropolis every day [1,2,3,4].

Model Description

Traffic Assignment Model without Ridesharing

Traffic Assignment Model with Ridesharing

Numerical Examples

Conclusions