Abstract: Based on database of parks and green spaces, residential districts in Shangcheng District of Hangzhou, Zhejiang province from official website in 2021 Hangzhou, analysis was made on spatial distribution characteristics and differences by kernel density estimation method, regional position entropy and Gaussian two-step moving search method (Ga2SFCA). The results showed that distribution of parks and green spaces in the District was quite different. 78.57% of 14 streets had lower of per capita park and green space. The accessibility of park and green space was obviously different, and the residential districts in the southwest and the north had better accessibility. The spatial autocorrelation analysis based on Moran's index showed that the number of low income and low accessibility residential areas was the largest, while the high-price residential areas do not show an advantage in the enjoyment of park green space.