Vehicle miles traveled and the built environment: evidence from vehicle safety inspection data

被引:24
作者
Diao, Mi [1 ]
Ferreira, Joseph, Jr. [2 ]
机构
[1] Natl Univ Singapore, Dept Real Estate, Singapore 117566, Singapore
[2] MIT, Dept Urban Studies & Planning, Cambridge, MA 02139 USA
来源
ENVIRONMENT AND PLANNING A-ECONOMY AND SPACE | 2014年 / 46卷 / 12期
关键词
vehicle miles travelled; built environment; vehicle safety inspection data; GIS; URBAN FORM; LAND-USE; BEHAVIOR;
D O I
10.1068/a140039p
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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 x 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.
引用
收藏
页码:2991 / 3009
页数:19
相关论文
共 22 条
[1]  
[Anonymous], 2006, PALGRAVE HDB ECONOME
[2]   The effects of urban spatial structure on travel demand in the United States [J].
Bento, AM ;
Cropper, ML ;
Mobarak, AM ;
Vinha, K .
REVIEW OF ECONOMICS AND STATISTICS, 2005, 87 (03) :466-478
[3]   The influence of land use on travel behavior: specification and estimation strategies [J].
Boarnet, M ;
Crane, R .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2001, 35 (09) :823-845
[4]  
Brownstone D, 2008, UNPUBLISHED PAPER PR
[5]   The impact of residential density on vehicle usage and energy consumption [J].
Brownstone, David ;
Golob, Thomas F. .
JOURNAL OF URBAN ECONOMICS, 2009, 65 (01) :91-98
[6]   Understanding individual mobility patterns from urban sensing data: A mobile phone trace example [J].
Calabrese, Francesco ;
Diao, Mi ;
Di Lorenzo, Giusy ;
Ferreira, Joseph, Jr. ;
Ratti, Carlo .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2013, 26 :301-313
[7]   Residential Property Values and the Built Environment Empirical Study in the Boston, Massachusetts, Metropolitan Area [J].
Diao, Mi ;
Ferreira, Joseph, Jr. .
TRANSPORTATION RESEARCH RECORD, 2010, (2174) :138-147
[8]   Travel and the built environment - A synthesis [J].
Ewing, R ;
Cervero, R .
LAND DEVELOPMENT AND PUBLIC INVOLVEMENT IN TRANSPORTATION: PLANNING AND ADMINISTRATION, 2001, (1780) :87-114
[9]   Estimating the Vehicle-Miles-Traveled Implications of Alternative Metropolitan Growth Scenarios: A Boston Example [J].
Ferreira, Joseph, Jr. ;
Diao, Mi ;
Xu, Jingsi .
TRANSACTIONS IN GIS, 2013, 17 (05) :645-660
[10]   Using GPS data to understand driving behavior [J].
Grengs, Joe ;
Wang, Xiaoguang ;
Kostyniuk, Lidia .
JOURNAL OF URBAN TECHNOLOGY, 2008, 15 (02) :33-53