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How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model

机译:住宅和工作地区的建筑环境如何影响汽车所有权?交叉分类多级模型的应用

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摘要

Although many studies investigate the connection between the residential built environment and car ownership, the literature offers limited evidence on the effect of work locations. Using data from the Washington metropolitan area, this study develops a cross-classified multilevel model to examine the influences of the built environment at both residential and workplace locations on car ownership, while controlling for spatial dependency arising from spatial aggregation. We found that built environment characteristics at work locations, particularly bus stop density and employment density, influence household car ownership. They explain one third of the total variation of car ownership across work locations. The residential environment appears to impose a stronger influence than the workplace environment. Density, diversity, design, transit access around residences and distance from home to the city center affect car ownership.
机译:虽然许多研究调查了住宅内部环境和汽车所有权之间的联系,但文献提供了有关工作地点效果的有限证据。本研究使用来自华盛顿大都市地区的数据,开发了一个跨分类的多级模型,以检查建筑环境在汽车所有权上的住宅和工作场所位置的影响,同时控制来自空间聚集的空间依赖。我们发现工作地点的内置环境特征,特别是总线停止密度和就业密度,影响家用汽车所有权。他们在工作地点解释了汽车所有权的总体变化的三分之一。住宅环境似乎对工作场所环境强加强烈的影响力。密度,多样性,设计,围绕住宅和房屋中心到市中心的距离影响汽车所有权。

著录项

  • 来源
    《Journal of Transport Geography》 |2019年第2期|37-45|共9页
  • 作者

    Ding Chuan; Cao Xinyu;

  • 作者单位

    Beihang Univ Sch Transportat Sci & Engn Beijing Key Lab Cooperat Vehicle Infrastruct Syst Beijing 100191 Peoples R China|Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing 100191 Peoples R China;

    Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing 100191 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Auto ownership; Land use; Travel behavior; Spatial dependency; Random effect model;

    机译:汽车所有权;土地使用;旅行行为;空间依赖;随机效果模型;
  • 入库时间 2022-08-18 21:02:07

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