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Exploring the effects of the rural built environment on household car ownership after controlling for preference and attitude: Evidence from Sichuan,China
Institution:1. College of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, Sichuan 610059, China;2. Business School, Sichuan University, Chengdu, Sichuan 610065, China;3. Information Systems of the Built Environment, Department of the Built Environment, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600, the Netherlands;4. Department of Engineering Management, Sichuan College of Architectural Technology, Deyang, Sichuan 618000, China;1. Department of Urban Planning and Design, Faculty of Architecture, The University of Hong Kong, Hong Kong, SAR, China;2. School of Architecture, Planning and Environmental Policy, University College Dublin, Dublin, Ireland;2. Distinguished Professor of Beijing University of Technology, Shandong Jiaotong University and Chan''an University, China;3. PATH Program, The University of California at Berkeley, Richmond Field Station, Bldg. 177, MC 3580, 1357 S. 46th Street, Richmond, CA 94804, USA;4. National Risk Management Research Laboratory, US EPA, Office of Research and Development, Cincinnati, OH 45268, USA;1. School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. Department of Geography, Hebrew University of Jerusalem, Mount Scopus, 91905 Jerusalem, Israel;3. Department of Management Engineering, Technical University of Denmark, Bygningstorvet 116B, 2800 Kgs. Lyngby, Denmark;1. Key Lab of Regional Sustainable Development and Modelling, and Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2. Land Economy, The University of Cambridge, Silver Street 19, CB4 9EP, UK;3. Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500, The Netherlands;4. School of Management and Economy, Tianjin University, Tianjin 300072, China
Abstract:With the rapid infrastructure development and economic growth in China, household car ownership in the country's rural areas has changed dramatically in the past 16 years. The total number of cars owned by households in rural areas is currently 12 times higher than it was 16 years ago. The exploration of the effects of the built environment on household car ownership in China's rural areas is worthwhile. However, few studies have investigated this topic. To fill in the research gap, this work collected 374 household data from rural areas in China to examine the effects of the built environment in Sichuan's rural areas on the number of cars in a household. It considered family structure, socioeconomic characteristics, and individual's perceptions of the built environment, preferences towards the built environment and attitudes towards car ownership (shortened to perceptions, preferences and attitudes from now on). Geographic information system (GIS) technology, combined with on-site measurement, was used for data collection. The multinomial logit model was applied for estimation. Household structure and the built environment (including the perceived built environment and the objective built environment) significantly influence the number of cars in a household. By contrast, preference and attitude attributes have less influence on car ownership. Most of the findings are in line with the literature in the context of Chinese cities. Nevertheless, new results are also found. For example, rural hukou, and building density have significant positive impacts on household car ownership in China's rural areas, which is in contrast with their effects on cities. As the first study on rural areas in China, this research provides some insights for rural planners and policymakers to understand better the relationship between built environment and household car ownership.
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