 How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel modelChuan Ding and Xinyu Cao Journal of Transport Geography, 2019, vol. 75, issue C, 37-45 Abstract: 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. Keywords: Auto ownership; Land use; Travel behavior; Spatial dependency; Random effect model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:75:y:2019:i:c:p:37-45 DOI: 10.1016/j.jtrangeo.2019.01.012 Access Statistics for this article Journal of Transport Geography is currently edited by Frank Witlox More articles in Journal of Transport Geography from Elsevier |
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