Measuring Community Green Inequity: A Fine-Scale Assessment of Beijing Urban Area

• Published in: Land (Basel) Vol. 10; no. 11; p. 1197
• Main Authors: Zhang, Yuyang, Wu, Qilin, Wu, Lei, Li, Yan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Application programming interface; Censuses; Clustering; community green space; Correlation analysis; Equity; Evaluation; Exposure; fine-scale green space analysis; Green infrastructure; green justice; Homogeneity; Mental health; Morphology; Mortality; Population; Public health; Regeneration; Remote sensing; Roads & highways; Socioeconomic factors; Spatial distribution; Sustainable development; Urban areas; Urbanization; Visibility; Beijing China; China
• ISSN: 2073-445X; 2073-445X
• DOI: 10.3390/land10111197

Green space exposure is beneficial to the physical and mental health of community residents, but the spatial distribution of green space is inequitable. Due to data availability, green equality or justice studies typically use administrative units as contextual areas to evaluate green spaces exposure, which is macro-scale and may lead to biased estimates as it ignores fine-scale green spaces (e.g., community gardens, lawns), that community residents are more frequently exposed to. In this study, we used the community as the unit of analysis, considered the green exposure of community residents in their daily social and physical activities, obtained data on three types of green spaces including fine-scale green spaces in the communities, surrounding large-scale parks and streetscape images. We propose a series of metrics for assessing community green equity, including a total of 11 metrics in three major categories of morphology, visibility and accessibility and applied them to 4544 communities in Beijing urban area. Through spatial visualization, spatial clustering, radar plots, and correlation analysis, we comprehensively analyzed the equity of green space at the community scale, identified the cold and hot spots of homogeneity, and then analyzed the equity of green space among regions under the urbanization process. The measurement results of these metrics showed that there are large differences and complementarities between different categories of metrics, but similarities exist between metrics of the same category. The proposed methodology represents the development of a green space evaluation system that can be used by decision makers and urban green designers to create and maintain more equitable community green spaces. In addition, the large-scale, comprehensive and fine-scale green space measurement of this study can be combined with other studies such as public health and environmental pollution in the future to obtain more comprehensive conclusions and better guide the construction and regeneration of green spaces.