The Impact of Residential Density on Vehicle Usage and Fuel Consumption: Evidence from National Samples
AbstractThis paper investigates the impact of residential density on household vehicle usage and fuel consumption. We estimate a simultaneous equations system to account for the potential residential self-selection problem. While most previous studies focus on a specific region, this paper uses national samples from the 2001 National Household Travel Survey. The estimation results indicate that residential density has a statistically significant but economically modest influence on vehicle usage, which is similar to that in previous studies. However, the joint effect of the contextual density measure (density in the context of its surrounding area) and residential density on vehicle usage is quantitatively larger than the sole effect of residential density. Moving a household from a suburban to an urban area reduces household annual mileage by 18%. We also find that a lower neighborhood residential density induces consumer choices toward less fuel-efficient vehicles, which confirms the finding in Brownstone and Golob (2009).
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 47785.
Date of creation: 17 Jun 2013
Date of revision:
Household vehicle choice; Simultaneous equations systems; Residential density;
Other versions of this item:
- Kim, Jinwon & Brownstone, David, 2013. "The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples," Energy Economics, Elsevier, vol. 40(C), pages 196-206.
- Kim, Jinwon & Brownstone, David, 2010. "The impact of residential density on vehicle usage and fuel consumption," University of California Transportation Center, Working Papers qt31m0w2x3, University of California Transportation Center.
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-06-30 (All new papers)
- NEP-DCM-2013-06-30 (Discrete Choice Models)
- NEP-ENE-2013-06-30 (Energy Economics)
- NEP-TRE-2013-06-30 (Transport Economics)
- NEP-URE-2013-06-30 (Urban & Real Estate Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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