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The net effects of the built environment on household vehicle emissions: A case study of Austin,TX
Institution:1. University of California, Los Angeles, Department of Atmospheric and Oceanic Sciences, 405 Hilgard Ave., Los Angeles, CA 90095, USA;2. University of California, Los Angeles, Institute of the Environment and Sustainability, La Kretz Hall, Suite 300, Los Angeles, CA 90095, USA;3. University of California, Los Angeles, Luskin Center for Innovation, Luskin School of Public Affairs, 3250 Public Affairs Bldg., Los Angeles, CA 90095, USA;4. Center for Environmental Sciences, Faculty of Sciences, University of Chile, Las Palmeras 3425 Ñuñoa, Santiago, Chile;5. University of California, Los Angeles, Fielding School of Public Health, Environmental Health Sciences Department, 650 Charles Young Dr., Los Angeles, CA 90095, USA;1. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China;2. College of Environment and Resources, Fuzhou University, Fuzhou 350108, China;3. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Abstract:Growing concerns over climate change have led to an increasing interest in the role of the built environment to reduce transportation greenhouse gas (GHG) emissions. Many studies have reported that compact, mixed-use, and well-connected developments reduce vehicle miles traveled (VMT). Others, however, argue that densification and mixture of land uses can slow down vehicle movements, and consequently generate more driving emissions. Methodologically, VMT is only a proxy, not an exact measure of emissions. This study quantifies the net effects of the built environment on household vehicle emissions through a case study of Austin, TX. The study employed structural equation modeling (SEM) techniques and estimated path models to improve understanding of the relationship between the built environment and vehicle emissions. The results show a rather complex picture of the relationship. Densification can reduce regional vehicle emissions despite its secondary effect of reduced vehicle travel speed. A 1% increase in density was found to reduce household vehicle emissions by 0.1%. However, intensification of the design feature of the built environment in developed areas may work in the opposite direction; the modeling results showed a 1% increase in grid-like network being associated with 0.8% increase in household vehicle emissions. Based on the results, the study addressed the potential of and the challenges to reducing vehicle emissions through modifying the built environment in local areas.
Keywords:Built environment  Vehicle miles traveled  Vehicle emissions  Structural equation model  Austin  Texas
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