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Identifying spatiotemporal transit deserts in Seoul,South Korea
Institution:1. Real Estate and Planning, Henley Business School, University of Reading, Whiteknights, Reading RG6 6UD, United Kingdom;2. The Bartlett School of Construction and Project Management, University College London, United Kingdom;1. Human Environments Analysis Laboratory, The University of Western Ontario, Social Sciences Centre, 1151 Richmond Street, London, ON N6A 5C2, Canada;2. Department of Geography and Environment, The University of Western Ontario, Social Sciences Centre, 1151 Richmond Street, London, ON N6A 5C2, Canada;3. Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Natural History Building, 1301 W Green Street, Urbana, IL 61801, USA;4. Department of Geography and Resource Management and Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong;5. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong;6. Department of Land Surveying and Geo-Informatics and Smart Cities Research Institute, The Hong Kong Polytechnic University, Hung Hom, Hong Kong;7. College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, China;1. Department of Geography, University of Utah, 260 South Central Campus Drive, Rm. 270, Salt Lake City, UT 84112-9155, USA;2. Environmental Systems Research Institute, 380 New York Street, Redlands, CA 92373, USA;3. Department of Geography, University of Cincinnati, 401 Braunstein Hall, Cincinnati, OH 45221-0131, USA
Abstract:Transit deserts can result from the inequitable distribution of resources and services, and people living in transit deserts have limited access to transportation system. The aim of this study was to perform spatiotemporal data analysis to identify transit desert areas in Seoul in three steps. First, the transit gap between peak and off-peak hours is evaluated and various spatial changes in each temporal transit desert area are identified. Second, a spatial analysis is conducted to identify transit desert and transit oasis areas that emerge during peak hours. Lastly, an independent T-test is conducted to identify how the socio-economic characteristics of transit deserts and transit oases are statistically different. Our analysis show that, transit deserts changed across space and over the time in Seoul. Furthermore, transit deserts in general appear to be associated with socio-economically vulnerable residential areas.
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