Research on Crime Risk Prediction and Spatial Differentiation of Influencing Factors in High-Speed Rail Stations Based on GWR Model
In order to grasp the influence of urban built environment on high-speed rail station crime and ensure the public safety of high-speed rail station,the correlation factors and spatial heterogeneity of high-speed rail station at different development stages are studied through the comparison of two typical new and old high-speed railway stations.Combined with CPTED theory and circle theory,the geographically weighted regression and GIS spatial analysis were used to construct a crime risk prediction model,measure the degree of crime risk in new and old high-speed railway stations,explore the distribution characteristics of crimes in different circles,and analyze the influence mechanism of the differently established environments on crimes in high-speed rail stations.
CPTED theoryhigh-speed rail station areacircle structurecrime prevention and controlrisk prediction
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