Department of Landscape Technology, Suzhou Agricultural Vocational and Technical College, Suzhou 215008, China.
Department of Landscape Architecture, School of Architecture, Soochow University, Suzhou 215006, China.
Int J Environ Res Public Health. 2022 Oct 13;19(20):13159. doi: 10.3390/ijerph192013159.
The scientific siting of urban parks is critical for sustainable urban environment development, and this study aimed to identify suitable areas for future urban parks in Nanjing, China. This study has integrated geographic information systems (GIS) and fuzzy hierarchical analysis (F-AHP) in order to evaluate the suitability of the site selection of urban parks in Nanjing, China. Different physical, natural, environmental, accessibility, and human activity factors were evaluated in order to assess the suitability of a park site. The results revealed that 5% were highly suitable for urban park site selection, 36% were more suitable, 32% were moderately suitable, 19% were less suitable, and 8% were unsuitable for urban park site selection. The findings suggest that the areas that are highly suitable for urban park placement are located in the western and eastern parts of Nanjing. Carbon storage was the most important factor in the suitability of urban park site selection, followed by the normalized difference vegetation index (NDVI) and the heat-island effect. The methodology that has been adopted in this study helps to improve the methodological framework of combining F-AHP and GIS; in addition, generating urban park site selection maps assists planners and decision-makers in making scientific site selection decisions.
城市公园的科学选址对于可持续城市环境的发展至关重要，本研究旨在确定中国南京未来城市公园的适宜区域。本研究将地理信息系统（GIS）和模糊层次分析法（F-AHP）相结合，以评估中国南京城市公园选址的适宜性。评估了不同的物理、自然、环境、可达性和人类活动因素，以评估公园选址的适宜性。结果表明，5%的地区高度适合城市公园选址，36%的地区更适合，32%的地区中等适合，19%的地区不太适合，8%的地区不适合城市公园选址。研究结果表明，高度适合城市公园建设的地区位于南京的西部和东部。碳储存是城市公园选址适宜性的最重要因素，其次是归一化差异植被指数（NDVI）和热岛效应。本研究采用的方法有助于改进结合 F-AHP 和 GIS 的方法框架；此外，生成城市公园选址图有助于规划者和决策者做出科学的选址决策。
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