Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review

Mengxuan Zhao,Long Chen,Peng Jing,Meiling He

doi:10.3390/su10041185

Abstract

In recent years, traffic congestion has become increasingly serious and the urban environment has deteriorated, posing a challenge to the modern sustainable transportation system. Sustainable travel behavior is a solution that many scholars recognize as being an important aspect in the development of socially, environmentally, and economically sustainable communities. Increasing numbers of studies analyzed the travel choice behavior based on Random Regret-Minimization (RRM) model. RRM considers multiple attribute compromises to capture the traveler’s choice behavior based on minimizing the perceived regret decision criteria. Travel route choice and travel mode choice are interrelated and mutual restraint when a traveler makes a travel decision. To our knowledge, there are limited literatures that overall considered travel mode and travel route choice behavior based on RRM at present. This paper aims to fill this gap and presents a literature review for the application of RRM on sustainable travel mode and travel route choice behavior from empirical issues, influencing factors, theories and methods to evaluate RRM’s potential and limitations as a discrete model of travel choice behavior. The results will provide reference for researchers to study this field and develop novel strategies to promote the sustainable traffic system in the future.

Highlights

With the arrival of the information age, the expansion of the population and the deteriorating environment, the modern sustainable transportation system is facing severe challenges
The studies reviewed in this paper are from seven important databases through in-depth and detailed searching, positioning the research literature, and through the development of a clear screening mechanism to sort out the literature
This paper makes a comprehensive review and discussion for these sixteen empirical studies on the travel mode and travel route choice behavior from four main aspects: (1) empirical issues—the current situation of travel mode choice and travel route choice behavior based on regret model was understood; (2) influencing factors—a better behavioral understanding estimating suitable factors can lead to more accurate travel choice forecasts and has important implications for evaluating sustainable urban transport plans and policies; (3) theory utilization—different theoretical framework can bring different research variables and parameters

Summary

Introduction

With the arrival of the information age, the expansion of the population and the deteriorating environment, the modern sustainable transportation system is facing severe challenges. In order to achieve the balance between supply and demand and promote the sustainable development of the traffic system, traffic engineering scholars put forward the concept of Traffic Demand Management (TDM) in 1980s, whose core is inducing people’s travel behavior to alleviate traffic congestion [1]. Since the mid-seventies, the majority of the travel demand model has used the Random Utility Maximization (RUM) model rooted in discrete choice analysis [2,3]. The RUM model assumes that when a traveler is faced with a number of travel modes and travel routes, he/she will choose the one with the highest utility. The RUM model had great achievements to explain travel mode and travel route choice behavior, Chorus [4] presents an alternative approach to the RUM model of travel choice rooted in Regret Theory (RT) [5–7] and was coined Random Regret-Minimization (RRM)

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