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基于生态系统服务量化的城市绿地布局公平性研究 ——以广州市越秀区为例.

Authors :
陈康富
张一蕾
吴隽宇
Source :
Ecological Science. May2023, Vol. 42 Issue 3, p202-212. 11p.
Publication Year :
2023

Abstract

The study on the equity of urban green space layout based on the quantification of ecosystem services is oriented to the improvement of human well-being, which is helpful to promote the equity of ecological environment and the sustainable development of cities. Based on the analysis of the urban green space distribution and ecosystem service value of green space of the blocks in Yuexiu District,Guangzhou in 2020, this study used the location entropy method to analyze the fairness of green space ecosystem services available per capita in each block. The results showed that: (1) The population and urban green space in Yuexiu District were significantly spatially heterogeneous. (2) The comprehensive ecosystem service value of green space varied greatly among the blocks in Yuexiu District, with a high spatial distribution in the north and a low spatial distribution in the south. (3) There were some unfair spatial distribution of green space in the district. The two blocks, Dengfeng and Hongqiao, had extremely high location entropy. The seven blocks of Renmin, Guangta, Zhuguang, Dadong, Datang, Meihua Village and Kuangquan had low or extremely low location entropy. It was proposed to optimize the green space layout of the study area by strictly protecting important ecological green space, inserting green space in subtleties, increasing urban public green space by using urban wasteland, adding riverside greenways with sports and leisure functions, increasing urban green space under the background of old city reconstruction, and increasing the urban vertical green area. The paper results can provide some reference for the study of the fairness of green space layout in the same type of high population density cities, which can help to improve the level of residents' health and well-being. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10088873
Volume :
42
Issue :
3
Database :
Academic Search Index
Journal :
Ecological Science
Publication Type :
Academic Journal
Accession number :
163639421
Full Text :
https://doi.org/10.14108/j.cnki.1008-8873.2023.03.024