A geodemographic analysis of the relationship between individual travel behavior and the neighborhood environment

Masaya Uesugi, K. Yano
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Abstract

This study aims to investigate the association between individual travel behaviors, neighborhood built environment, and social area type based on a geodemographics dataset. Neighborhood environment includes population density, land use mixture, road density, service level of public transportation, destination accessibility, and topography. By using person trip survey data for Kyoto Prefecture residents in 2010, the results of multilevel logistic analysis showed that social area type can explain the variations of travel mode choice for commuting behavior̶particularly the use of public transportation and vehicle, even after controlling for neighborhood environment and individual characteristics such as gender, age, occupation, and household vehicle ownership. On the other hand, there was little evidence of association between mode choice for shopping and social area type.
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个人出行行为与周边环境关系的地理人口统计学分析
本研究旨在基于地理人口统计数据,探讨个人出行行为、社区建成环境和社会区域类型之间的关系。邻里环境包括人口密度、土地利用混合、道路密度、公共交通服务水平、目的地可达性、地形等。利用2010年京都居民个人出行调查数据,多层次logistic分析结果表明,即使在控制了社区环境和个人特征(如性别、年龄、职业和家庭车辆拥有量)后,社会区域类型也可以解释通勤行为的出行方式选择的变化,特别是公共交通和车辆的使用。另一方面,购物方式选择与社会区域类型之间的关联证据很少。
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