Abstract

This paper aims to conduct an empirical study to evaluate the influence of built environment features and socioeconomic factors on commuters’ simultaneous choice of departure time and travel mode. Using Kunming, China, as the study region, the 2015 Regional Household Travel Survey and 2016 Point of Interest data are used in the analysis. The results show that, in addition to socioeconomic factors, built environment, such as the density of residential building, employment, and service facility are correlated with joint choice behavior. Moreover, there exist differences regarding the influence of built environment and socioeconomic factors on departure time and travel mode choice. The dissimilarity parameters show that commuters prefer to shift travel mode than departure time generally when travel condition alters. In order to examine the policy measures’ potential performance, the paper conducts simulation tests based on the Monte Carlo method. The simulation results show that congestion pricing of car travel during peak hours can reduce the number of commuting trips, and reducing travel time of public transit would be a better strategy to attract more passengers during peak hours. Moreover, reasonable land use planning, such as building more bus stops around commuters’ home location, would be a long term and fundamental approach to reduce mobile-source emissions and attract more public transit passengers.

Highlights

  • Transportation in China is developing at a fast pace, and with the collaborative operation of various travel modes, traffic efficiency has improved considerably

  • To make up for the abovementioned deficiencies, this paper aims to present an empirical research on the effect of built environment features and socioeconomic factors on commuters’ joint choice on departure time and travel mode for commuting trips

  • It is found that there is no strong correlation between commercial density and commuters’ joint choice of departure time and travel mode

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Summary

Introduction

Transportation in China is developing at a fast pace, and with the collaborative operation of various travel modes, traffic efficiency has improved considerably. The worst times for traffic condition of the day are during the morning and evening peak time when people commute to and from work Choices, such as departure time and travel mode, are crucial ingredients of a commuter’s decision about trip-making. Understanding the factors that affect the joint choice of departure time and travel mode for commuting trips is an indispensable prerequisite in evaluating policy measures potential effectiveness. In this manner, reasonable policy measures that can help reduce trip-making during peak periods and encourage commuters to use public transit to alleviate traffic congestion problems can be formulated

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