Vehicle Miles Traveled and the Built Environment
Evidence from Vehicle Safety Inspection Data
Bibliographic Data
| ID | 4139516 |
|---|---|
| Authors | Mi Diao (0000-0002-0389-4199, National University of Singapore, corresponding author), M I Diao (National University of Singapore), Joseph Ferreira (0000-0003-0600-3803, Massachusetts Institute of Technology, corresponding author) |
| Year | 2014 |
| Volume | 46 |
| Issue | 12 |
| Pages | 2991-3009 |
| Publication date | 2014-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Planning A Economy and Space (JOURNAL) |
| Journal identifiers | ISSN: 0308-518X • E-ISSN: 1472-3409 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1068/a140039p |
| OpenAlex | W2031052082 |
| Language | EN |
| Citations received | 5 |
| References cited | 17 |
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 250 × 250 m 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 intraurban 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 5000-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
Built environment · Cartography · Civil engineering · Geocoding · Geographic information system · Geography · Grid · Metropolitan area · Odometer · Spatial analysis · Transport engineering · Computer Science · Engineering · Impact of Light on Environment and Health · Traffic and Road Safety · Urban Transport and Accessibility
Correlation or causality between the built environment and travel behavior? Evidence from Northern California
Methodologies for exploring the link between urban form and travel behavior
Travel and the Built Environment
The influence of land use on travel behavior
Understanding individual mobility patterns from urban sensing data
The Role of Land Use in Travel Mode Choice
The Effects of Urban Spatial Structure on Travel Demand in the United States
Using GPS Data to Understand Driving Behavior
The impact of residential density on vehicle usage and energy consumption
Policy Implications of Excess Commuting
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,83 |
| Citation span | 2020 - 2022 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |