建筑环境
调解
结构方程建模
运输工程
汽车保有量
中国
旅游行为
投资(军事)
业务
经济地理学
计量经济学
环境经济学
地理
计算机科学
公共交通
经济
土木工程
工程类
社会学
政治学
考古
法学
机器学习
政治
社会科学
作者
Chuan Ding,Xinyu Zhou,Xinyu Cao,Jiawen Yang
标识
DOI:10.1016/j.tra.2023.103662
摘要
Built environment interventions have been widely promoted to reduce car use and associated carbon emissions. Although many studies have explored the relationship between the built environment and commuting behavior, few have simultaneously accounted for the mediating role of car ownership in the relationship, the effects of both residential and workplace environments, and spatial dependence among respondents. To fill the gap, this study proposes an approach to integrate the merits of structural equation models and discrete choice models while accommodating spatial dependence. We apply it to the 2019 household travel survey data from Zhongshan, China. This study shows that spatial heterogeneity is prevalent, and that overlooking the mediating role of car ownership will produce false statistical inference and understate built environment effects. The results suggest that urban growth boundary, densification and bus supply enhancement at residential neighborhoods, and residential development clustered around centers may discourage commuting by car, whereas road investment is counterproductive.
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