Optimizing urban green space patterns to improve spatial equity using location-allocation model: A case study in Wuhan |
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| Institution: | 1. College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China;2. Institute for Geosciences and Geography, Department of Sustainable Landscape, Martin Luther University Halle-Wittenberg, Halle (Saale), 06120, Germany;3. Shandong Tudi Rural Revitalization Group Co.,Lt, Jinan 250000, China;1. Department of phytology, FSAA., 2425 rue de l’Agriculture, Université Laval, Québec, QC, G1V 0A6, Canada;2. Quebec Centre for Biodiversity Science, Department of Biology, McGill University, Stewart Biology Building, 1205 Dr. Penfield Avenue, Montreal, QC H3A 1B1, Canada;3. Institut de recherche en biologie végétale, Département de sciences biologiques, Université de Montréal, 4101 Sherbrooke E., Montréal, QC H1X 2B2, Canada;4. Jardin botanique de Montréal, 4101 Sherbrooke E., Montréal, QC H1X 2B2, Canada;1. Department of Health Sciences, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON, Canada;2. Child Health Informatics Group, Great Ormond Street Institute of Child Health, UCL, London, UK;3. Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge, UK;4. London School of Hygeine and Tropical Medicine, Population Health Innovation Lab, Department of Public Health, Environments & Society, London, UK;1. Faculty of Economics and Business Administration, Ghent University, Tweekerkenstraat 2, B-9000 Ghent, Belgium;2. Department of Geography, Ghent University, Krijgslaan 281 (S8), B-9000 Ghent, Belgium |
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| Abstract: | Green space allocation aims to support the UNs sustainable development goals (SDGs) and to mitigate the conflicts between supply and demand. Previous studies have shown that the uneven distribution of populations and natural locations of green space results in environmental inequity. However, there is still a lack of knowledge on strategies for reducing mismatches of supply and demand by optimizing spatial patterns in highly dense cities. Developed urbanized areas are featured in fewer spaces for greening. In this study, we set three scenarios for coordinating the provision and demand of urban green spaces at a block scale. Taking the main city of Wuhan as an example, we apply the location-allocation model in order to identify potential sites for new green spaces. Then, the simulations of the three scenarios are used to depict various development strategies by evaluating the improvement of green equity. Our results show that the levels of green space accessibility are lower on the west side of the city center, while relatively higher on the east side, due to abundant natural resources. The Gini coefficient is 0.715, indicating unequal access for citizens to green space. Increasing green areas could enhance green equity, and the most effective way to allocate new increments is based on the accessibility. For developed cities, blocks with lower accessibility should be given priority when increasing green areas; doing so could offset the shortage of large green areas and reduce green inequity within daily walking distances. Optimal green space planning of small and functional parks near communities has the potential to meet higher recreational demands in densely populated areas. |
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| Keywords: | Green space accessibility Location-allocation Lorenz curve Spatial equity Simulation |
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