Friday, July 11, 2014

Vehicle Miles Traveled and the Built Environment: Evidence from Vehicle Safety Inspection Data

By Mi Diao and Joseph Ferreira, Jr.

This study examines the linkage between household vehicle usage and their residential locations within a metropolitan area using a newly available administrative dataset of annual private passenger vehicle safety inspection records (with odometer readings) and spatially detailed data on the built environment. Vehicle miles travelled (VMT) and a set of comprehensive built-environment measures are computed for a statewide 250m*250m grid cell layer using advanced Geographic Information Systems and database management tools. We apply factor analysis to construct five factors that differentiate the built-environment characteristics of the grid cells and then integrate the built-environment factors into spatial regression models of household vehicle usage that account for built environment, demographics, and spatial interactions. The empirical results suggest that built-environment factors not only play an important role in explaining the intra-urban variation of household vehicle usage, but may also be underestimated by previous studies that use more aggregate built-environment measures. One standard deviation variations in the built-environment factors are associated with as much as 5,000 mile differences in annual VMT per-household. This study also demonstrates the potential value of new georeferenced administrative datasets in developing indicators that can assist urban planning and urban management.


more about urban travel behavior:

Residential Self-Selection and Its Effects on Urban Commute Travels in Iranian Cities Compared to US, UK, and Germany

MODELING THE TRAVEL BEHAVIOR IMPACTS OF MICRO-SCALE LAND USE AND SOCIO-ECONOMIC FACTORS

Determinants of Automobile Use: A Comparison of Germany and the U.S.

The influence of neighbourhood design on travel behaviour: Empirical evidence from North East England

Mobility biographies. A new perspective for understanding travel behaviour

Residential self-selection and travel: The relationship between travel-related attitudes, built environment characteristics and travel behaviour

Dynamic GPS-position correction for mobile pedestrian navigation and orientation

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