Assessing the Spatial Distribution Pattern of Street Greenery and Its Relationship with Socioeconomic Status and the Built Environment in Shanghai, China

• Published in: Land (Basel) Vol. 10; no. 8; p. 871
• Main Authors: Xiao, Chao, Shi, Qian, Gu, Chen-Jie
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2021
• Subjects: administrative area; Built environment; Case studies; Central business districts; China; Cities; Correlation; Distribution patterns; Environmental economics; Environmental impact; Evaluation; Eye (anatomy); Green infrastructure; green view index; Housing; humans; issues and policy; land; Low income groups; Megacities; Mental health; Municipalities; normalized difference vegetation index; Normalized difference vegetative index; Population density; prices; Quality of life; social equity; society; socioeconomic status; Socioeconomics; Spatial distribution; street greenery; street-view image; Urban environments; Urban planning; Vegetation; Vegetation index; Visual stimuli; China; Shanghai China
• DOI: 10.3390/land10080871
• ISSN: 2073-445X

Urban greenery is widely acknowledged as a key element for creating livable urban environments and improving residents’ quality of life. However, only a few current studies on the subject of urban greenery focus on a human visual perspective and take street greenery into consideration. Street greenery is an indispensable component of urban vegetation to which residents have a higher frequency of access. Additionally, few studies focused on the disparity of the green view at a micro-level, such as at a county or community level. This study explored the spatial distribution of street greenery and its influential factors using the green view index (GVI) as the main evaluation indicator. Compared to other traditional indicators of greenery, such as the normalized difference vegetation index (NDVI) and accessibility, GVI is recognized as a human-oriented indicator to evaluate the quantity of greenery viewed by human eyes in daily life. The downtown area of Shanghai was chosen as the case study, as it reflects the common phenomenon of street greenery in many megacities globally. In addition, county/jiedao (the same administrative area as county in China) level was selected as the minimum geographical unit to evaluate the disparity of GVI and its influential factors to fill the knowledge gap. We analyzed 233,000 pieces of street-view images from Baidu Map and other correlated data. The results showed (1) the street greenery of 70% of the downtown area of Shanghai is less than the recommended comforFogre visual environment; (2) street greenery is spatially clustered in Huangpu district, Xuhui district, college town, and the Century Park of Shanghai; (3) street-greenery distribution is positively correlated with housing price and street network density, and negatively correlated with the ratio of society vulnerability; however, it is uncorrelated to population density. According to these findings, local municipalities could improve urban planning and design by introducing a more human-oriented green-space policy that improves social equity.