4.7 Article

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

Journal

JOURNAL OF TRANSPORT GEOGRAPHY
Volume 75, Issue -, Pages 37-45

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.jtrangeo.2019.01.012

Keywords

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

Funding

  1. National Natural Science Foundation of China [71874010, 61773040, U1764265]
  2. Young Elite Scientist Sponsorship Program by the China Association for Science and Technology [2017QNRC001]

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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.

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