Unraveling the Influence of Perceived Built Environment on Commute Mode Choice Based on Hybrid Choice Model

Author:

Lu Huan12ORCID,Gan Hongcheng12

Affiliation:

1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China

2. Center for Supernetworks Research, University of Shanghai for Science and Technology, Shanghai 200093, China

Abstract

To address the limitations of existing studies on the built environment and commute mode choice, which primarily focus on the objective and residential built environment, this study investigates how commuters’ perceptions of the built environment at their residences and workplaces influence their choice of commuting mode. First, six latent variables are proposed to characterize the perceived built environment. Then, commuters’ socio-economic and commuting characteristics are treated as exogenous variables. Subsequently, the influence of the perceived built environment on commute mode choice is analyzed using both a Multinomial Logit (MNL) model without latent variables and a Hybrid Choice Model (HCM) incorporating variables related to the perceived built environment. Finally, a case study conducted in Shanghai reveals that the goodness-of-fit value of the HCM improves by approximately 27.4% compared to that of the MNL, indicating that the perceived built environment plays a significant role in explaining commute mode choice. Furthermore, commuters’ socio-economic profiles, commuting characteristics, and perceptions of the built environment all significantly influence their commute mode choices. The perceived built environment at residences has a stronger impact on commute mode choice than that at workplaces. Among the various commute modes of driving, cycling, walking, and public transit, the perceived built environment most significantly influences public transit usage. Based on these findings, several policy implications are offered, providing decision-making support for urban planning and traffic management authorities.

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3