Understanding the role of built environment in reducing vehicle miles traveled accounting for spatial heterogeneity

  • Chuan Ding
  • , Yaowu Wang
  • , Binglei Xie*
  • , Chao Liu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In recent years, increasing concerns over climate change and transportation energy consumption have sparked research into the influences of urban form and land use patterns on motorized travel, notably vehicle miles traveled (VMT). However, empirical studies provide mixed evidence of the influence of the built environment on travel. In particular, the role of density after controlling for the confounding factors (e.g., land use mix, average block size, and distance from CBD) still remains unclear. The object of this study is twofold. First, this research provides additional insights into the effects of built environment factors on the work-related VMT, considering urban form measurements at both the home location and workplace simultaneously. Second, a cross-classified multilevel model using Bayesian approach is applied to account for the spatial heterogeneity across spatial units. Using Washington DC as our study area, the home-based work tour in the AM peak hours is used as the analysis unit. Estimation results confirmed the important role that the built environment at both home and workplace plays in affecting work-related VMT. In particular, the results reveal that densities at the workplace have more important roles than that at home location. These findings confirm that urban planning and city design should be part of the solution in stabilizing global climate and energy consumption.

Original languageEnglish
Pages (from-to)589-601
Number of pages13
JournalSustainability (Switzerland)
Volume6
Issue number2
DOIs
StatePublished - 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  3. SDG 13 - Climate Action
    SDG 13 Climate Action
  4. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Bayesian
  • Built environment
  • Cross-classified multilevel model
  • Density
  • Home-based work tour
  • Spatial heterogeneity
  • Vehicle miles traveled

Fingerprint

Dive into the research topics of 'Understanding the role of built environment in reducing vehicle miles traveled accounting for spatial heterogeneity'. Together they form a unique fingerprint.

Cite this