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The impact of residential density on vehicle usage and fuel consumption

Jinwon Kim and David Brownstone ()

University of California Transportation Center, Working Papers from University of California Transportation Center

Abstract: This paper investigates the impact of residential density on vehicle usage and fuel consumption. The empirical model accounts for both residential self-selection effects and non-random missing data problems. While most previous studies focus on a specific region, this paper analyzes national level data from the 2001 National Household Travel Survey. Comparing two households that are equal in all respects except residential density, the household residing in an area that is 1000 housing units per square mile denser (roughly 50% of the sample average) will drive 1500 (7.8%) less miles per year and will consume 70 (7.5%) fewer gallons of fuel than the household in the less dense area. The effect of the contextual density measure (density in the context of its surrounding area) is quantitatively larger than the sole effect of residential density. A simulation moving a household from suburban to urban area reduces household annual mileage by 15%.

Keywords: Social; and; Behavioral; Sciences (search for similar items in EconPapers)
Date: 2010-03-01
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Related works:
Journal Article: The impact of residential density on vehicle usage and fuel consumption: Evidence from national samples (2013) Downloads
Working Paper: The Impact of Residential Density on Vehicle Usage and Fuel Consumption: Evidence from National Samples (2013) Downloads
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