With the continuous improvement of living standards of residents in China, the demand of urban residents for various indoor and outdoor leisure sports activities presents the characteristics of increasing quantification and diversity.
Leisure sports facilities do not have a scope. They are generally divided into public welfare and profitability facilities. Among them, public welfare facilities mainly choose sports centers and school venues provided by the government. Their data can be obtained by the government's official website, while profitability facilities mainly include special sports venues, such as swimming pools, basketball halls, etc. Their data sources are through public points. Grading network crawling obtains POI, which complements each other and provides urban residents with a comprehensive demand for leisure sports activities.
This paper takes Suzhou as an example. Based on the traffic network, using the density analysis function of GIS, the density and spatial distribution of leisure sports facilities in each administrative area are calculated; using and accessibility analysis function, the shortest distance from each residential area to the nearest sports and leisure facilities is calculated from the point of view of residents, and taking each district as the statistical unit, the shortest average distance of each administrative area is counted, the shorter the average distance is. The higher the level of service; at the same time, from the point of view of sports and leisure facilities, search for residential areas that can be covered in different time periods according to different modes of transportation such as walking, bicycle, etc., and also can count the coverage level of each district. From the above two aspects, this paper evaluates the service level of sports and leisure facilities at two levels of cities and different administrative regions.