In order to explore the influence of site types on the spatial distribution characteristics of shared bicy-cles,this study,based on the origin and destination data of shared bicycle rides on Xiamen Island,established a spatial weight matrix using adjacency relationships.Global and local autocorrelation indices were calculated for the starting and ending points of shared bicycle rides.Combined with LISA diagram,spatial aggregation character-istics of shared bicycles were analyzed.From both point and area perspectives,the correlation between land use types and the spatial distribution of shared bicycles was analyzed using a gray correlation analysis considering neighborhood effects.A regression model with introduced dummy variables was established to assess the degree of impact of land use types on the spatial distribution of shared bicycles.The results indicate that there is an aggre-gation phenomenon in the spatial distribution of shared bicycles with significant spatial autocorrelation.Spatial ag-gregation characteristics can be categorized into four types;high-high,high-low,low-high,and low-low,ac-counting for 8.68％,0.09％,34.69％,and 3.65％,respectively.There is a significant correlation between the spatial distribution of shared bicycles and land use types.Residential gathering places,including residential,com-mercial,financial,research,and educational areas,have the greatest impact on the spatial distribution of shared bicycles,with influence weights of 13.410,7.730,and 7.644,respectively.The study's conclusions demonstrate the spatial correlation differences between the distribution of shared bicycles on Xiamen Island and various land use types,providing decision-making support for urban planning and shared bicycle deployment.
维普
万方数据