Examining the effects of the built environment and residential self-selection on commuting trips and the related CO2 emissions: An empirical study in Guangzhou,China |
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| Institution: | 1. School of Geography Science and Planning, Sun Yat-sen University, Guangzhou 510275, China;2. Institute of Transport Geography and Spatial Planning, Shaanxi Normal University, Xi’an 710119, China;3. College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou 510642, China;1. Humphrey School of Public Affairs;University of Minnesota, Twin Cities 301 19th Avenue South Minneapolis, MN, 55455, USA;1. Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;2. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China;3. Guangdong Key Laboratory for Urbanization and Geo-simulation, Guangzhou 510275, China;4. School of Geography, University of Leeds, Leeds, LS2 9JT, UK;1. Université Laval, École supérieure d’aménagement du territoire et de développement régional, Pavillon Félix-Antoine-Savard, 2325, rue des Bibliothèques Local 1622, Québec, QC G1V 0A6, Canada;2. Department of Civil Engineering and Architecture, Zhejiang University, China;3. Centre for Transport Studies, Department of Transport Science, KTH Royal Institute of Technology, Sweden;1. Faculty of Environmental Design, University of Calgary, 2500 University Drive NW, Calgary, AB T2N 1N4, Canada;2. Community and Regional Planning, University of Texas at Austin, 310 Inner Campus Drive, Stop B7500, Austin, TX 78712-1009, USA;1. Department of Geography, National University of Singapore, Singapore;2. Department of Real Estate, National University of Singapore, Singapore;1. State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing 100084, China;2. Center for Energy & Environmental Policy Research, Beijing Institute of Technology, China |
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| Abstract: | Numerous studies have established the link between the built environment and travel behavior. However, fewer studies have focused on environmental costs of travel (such as CO2 emissions) with respect to residential self-selection. Combined with the application of TIQS (Travel Intelligent Query System), this study develops a structural equations model (SEM) to examine the effects of the built environment and residential self-selection on commuting trips and their related CO2 emissions using data from 2015 in Guangzhou, China. The results demonstrate that the effect of residential self-selection also exists in Chinese cities, influencing residents’ choice of living environments and ultimately affecting their commute trip CO2 emissions. After controlling for the effect of residential self-selection, built environment variables still have significant effects on CO2 emissions from commuting although some are indirect effects that work through mediating variables (car ownership and commuting trip distance). Specifically, CO2 emissions are negatively affected by land-use mix, residential density, metro station density and road network density. Conversely, bus stop density, distance to city centers and parking availability near the workplace have positive effects on CO2 emissions. To promote low carbon travel, intervention on the built environment would be effective and necessary. |
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| Keywords: | Commuting trip Built environment Residential self-selection structural equations model (SEM) China |
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