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Exploring the Relationship between Built Environment and Commuting Mode Choice: Longitudinal Evidence from China.

Chaoying Yin1, Xiaoquan Wang2, Chunfu Shao3

  • 1College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China.

International Journal of Environmental Research and Public Health
|November 11, 2022
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Summary
This summary is machine-generated.

The built environment influences commuting, with balanced land use and density reducing car use. Life-cycle events also significantly impact travel mode choices.

Keywords:
Chinabuilt environmentcommuting behaviorlife-cycle eventslongitudinal relationships

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Area of Science:

  • Urban Planning
  • Transportation Science
  • Environmental Psychology

Background:

  • Extensive research links the built environment (BE) to commuting behavior.
  • Most studies use cross-sectional data from developed nations, limiting understanding of longitudinal BE-commuting links.
  • Longitudinal data from China is used to explore these relationships.

Purpose of the Study:

  • To examine the relationship between the built environment and commuting mode choice.
  • To investigate these links from both cross-sectional and longitudinal perspectives.
  • To incorporate the influence of life-cycle events within a unified framework.

Main Methods:

  • Utilized two rounds of survey data from China.
  • Employed cross-sectional and longitudinal analytical approaches.
  • Integrated life-cycle event analysis into the study framework.

Main Results:

  • Longitudinal findings largely support cross-sectional analyses of BE and commuting.
  • More balanced land use and improved residential density are linked to reduced car use and increased active travel.
  • Balanced land use also increases motorcycle/electric bike use but decreases public transit use.

Conclusions:

  • Built environment factors like land use balance and residential density are key to influencing commuting behavior.
  • Life-cycle events play a significant role in commuting mode shifts.
  • Findings support targeted urban planning interventions for sustainable transportation.