Pedestrian Accessibility Analysis of Park Green Space Based on G2SFCA
Urban green space is one of the important places for residents to carry out various activities,and also one of the important standards for urban livability.In order to improve the life of urban residents,it is necessary to sort out and continuously adjust the supply and demand of urban park green space and residents.Taking Shenzhen as the research area,this study focused on the walking accessibility of residents based on the concept of 15-minute living circle.Multi-source big data and Goole image were used to extract the data of residential area residents,park green space and road network in the area.With the data of residential area residents and park gate as the supply and demand point,the Gaussians-two-step mobile search method was used to obtain the accessibility of park green space for residential area residents in Shenzhen within 15 minutes of walking.The study analyzed the supply and demand of park green space in 10 minutes and 15 minutes walking time from the aspects of supply and demand of park green space,local spatial autocorrelation and blind spot analysis,and analyzed the accessibility of park green space in the whole region with the help of Kriging interpolation.The results showed that the accessibility of urban parks within 15 minutes' walk was good,86.23%of the community residents could reach the urban parks,and only a small part of them were inaccessible.In the accessibility classification of parks,general accessibility accounted for the vast proportion,and the areas with good accessibility accounted for the least,which still had a lot of room for development.The accessibility blind spots in Shenzhen are scattered and the proportion is not high.The blind spots can be improved by deep excavation of surrounding green space,continuous improvement of park area,and continuous upgrading of road network.
park green spacepedestrian accessibilityGauss two-step mobile search methodKriging interpolation
万方数据
维普
