Greening residential quarters in China: What are the roles of urban form,socioeconomic factors,and biophysical context? |
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| Institution: | 1. Hunan Provincial Key Laboratory of Landscape Ecology and Planning & Design in Regular Higher Educational Institutions, College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China;2. Department of Geography and Environmental Studies, New Mexico State University, Las Cruces, NM 88011, United States;3. Hunan Provincial Key Laboratory of Rural Ecosystem Health in Dongting Lake Area, College of Environment and Ecology, Hunan Agricultural University, Changsha 410128, China;4. College of Horticulture, Hunan Agricultural University, Changsha 410128, China;5. Hunan Institute of Economic Geography, Hunan University of Finance and Economics, Changsha 410205, China;1. Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;2. Key Laboratory of Tree Breeding and Cultivation and Urban Forest Research Centre, National Forestry and Grassland Administration, Beijing 100091, China;3. Guangdong Eco-Engineering Polytechnic, Guangzhou 510520, China;4. Research Institute of Tropical Forestry, Chinese Academy of Forestry, Guangzhou 510520, China;5. University of British Columbia, Vancouver, BC, Canada V6T 1Z4;1. Cartography & GIS Research Group, Department of Geography, Vrije Universiteit Brussel, 1050 Ixelles, Belgium;2. Cosmopolis Centre for Urban Research, Department of Geography, Vrije Universiteit Brussel, 1050 Ixelles, Belgium;3. Building, Architecture, & Town Planning (BATir) Department, Université Libre de Bruxelles, 1050 Ixelles, Belgium;1. College of Agriculture and Biotechnology, Zhejiang University, Hangzhou 310058, Zhejiang Province, PR China;2. Linan Municipal Bureau of Culture, Radio, TV, Tourism and Sport, Hangzhou 311100, Zhejiang Province, PR China;3. Department of Geography, Virginia Tech, United States;4. Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai 200241, PR China;5. School of Geographic Sciences, East China Normal University, Shanghai 200241, PR China;6. China Mobile (Zhejiang) Innovation Research Institute Co., Ltd, Hangzhou 310030, PR China;7. Institute of Landscape Architecture, Zhejiang University, Hangzhou 310058, Zhejiang Province, PR China;1. The College of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei 230036, Anhui, China;2. Urban Ecosystem Positioning Observation and Research Station, China |
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| Abstract: | Residential greenspace has great intracity variations. Its driving factors have been widely investigated in Western countries (e.g., in Europe and North America), where residential areas are mostly privately owned, but few studies have examined the determinants of residential greenspace in China, where land is owned by the government. Taking the subtropical city of Changsha, China, as an example, this study mapped the percent green cover (PGC) in residential quarters with a fine-resolution satellite image. We also investigated its driving factors measured from multisource geospatial data. The results show that (1) the PGC in the residential quarters showed great spatial variation, with an average of 36.6% (0–85.7%) and a standard deviation of 18.3%. (2) Urban form, biophysical context, and socioeconomic factors together explained 49.18% of the variation in the PGC, and they independently explained 22.87%, 11.17%, and 2.31% of the variation, respectively. (3) Residential quarter size, PGC in the surrounding buffer zone, residential quarter age, housing value, and population density significantly and positively impact the PGC, while percent building cover, floor area ratio, and distance to city center had significant negative impacts. The strongest positive and negative impacts came from PGC in the surrounding buffer zone and percent building cover, respectively. Socioeconomic factors, the dominant driving factors in Western countries, show little impact on residential PGC. These findings expand our understanding of the intracity variation in greenspace coverage and the driving factors, which sheds light on the effective planning and management of urban greenspaces in China. |
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| Keywords: | Percent green cover Spatial heterogeneity Driving factors Urban greening |
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