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

Chuan Ding, Jason Cao

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)37-45
Number of pages9
JournalJournal of Transport Geography
Volume75
DOIs
StatePublished - Feb 2019

Bibliographical note

Funding Information:
This work is supported by the National Natural Science Foundation of China ( 71874010 , 61773040 and U1764265 ), and Young Elite Scientist Sponsorship Program by the China Association for Science and Technology ( 2017QNRC001 ).

Publisher Copyright:
© 2019 Elsevier Ltd

Keywords

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

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