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.

Highlights

  • With the growth in automobile use and increase in daily vehicle miles traveled (VMT), transportation energy consumption and air pollution are significantly increasing

  • The housewife, for example, may pick up children from school on her way to go grocery shopping [18]. This aim of this study is to provide additional insights into the linkages between built environment and the work-related VMT, using a cross-classified multilevel model with built environment factors measured at both home location and workplace to account for the spatial heterogeneity across spatial units

  • Understanding VMT and its relationship to urban form is vital for the planning aimed at transportation energy use and air pollution reduction

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Summary

Introduction

With the growth in automobile use and increase in daily vehicle miles traveled (VMT), transportation energy consumption and air pollution are significantly increasing. Antipova et al [16] used a multilevel modeling approach to examine the effects of neighborhood land use types at TAZ level and socio-demographic attributes on commuting distance and time These applications to travel behavior suggest that ignoring the spatial issue can lead to an inferior data fit and generate erroneous conclusions. The housewife, for example, may pick up children from school on her way to go grocery shopping [18] This aim of this study is to provide additional insights into the linkages between built environment and the work-related VMT, using a cross-classified multilevel model with built environment factors measured at both home location and workplace to account for the spatial heterogeneity across spatial units. The conclusions are provided and the future directions of this paper are proposed

Data Source and Built Environment Measures
Model Specification
Results
Conclusions
Full Text
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