
Evaluating the urban park green space exposure from the perspective of the community life circle
ZHANG Jinguang, SONG Anqi, XIA Tianyu, ZHAO Bing
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2023, Vol. 47 ›› Issue (3) : 191-198.
Evaluating the urban park green space exposure from the perspective of the community life circle
【Objective】The community life circle is the most basic spatial unit comprising residents’ daily lives. Assessing exposure to park green spaces (PGSs) within the community life circle can accurately portray daily interactions between urban residents and public green resources, thus identifying blind spots in PGS services. 【Methed】In this study, we selected the central area of Nanjing city as a case study. First, the 15-minute walkable zone of the residential community was calculated using the isochrone as the basis for the demarcation of the community life circle. Additionally, a systematic exposure assessment framework covering quantity, area, distance and quality was constructed to assess the service capacity of PGSs within the walkable zone. Finally, the locational entropy and Getis-Ord indexes were used to analyze the spatial match of supply and demand between PGS exposure and demand from residents, in addition to the spatial clustering distribution of PGS exposure within cold-hot spot communities. 【Result】(1) An uneven spatial distribution of PGS exposure existed within urban residential areas, with 20.12% and 25.63% of the residential communities being located in the blind and cold spots, respectively. (2) The locational entropy index indicated that there was an imbalance within the spatial matching between PGS exposure and urban dwellers’ demand. (3) The PGS exposure showed a significant “circle” structure clustering. 【Conclusion】These findings provide theoretical support for refining the planning of urban green space systems while also promoting the scientific and reasonable allocation of PGS.
park green space / exposure degree / cold-hot spots clustering analysis / community life circle / spatial matching degree / configuration optimization / Nanjing City
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