摘要
It is of great significance to analyze the factors influencing crime rate and their effect scale for reducing crime rate and improving the quality of living environment. By using MGWR model, combined with the data of crime rate in Chicago, the spatial scale differences of crime rate in Chicago were studied,and the causes of spatial scale differences were analyzed. By comparing R2 and AICC in the regression results of MGWR, GWR and OLS models, it is found that the fitting effect of MGWR model was better.The results show that among the influencing factors ofcrime rate in Chicago, disadvantaged group factor had a small scale and strong sensitivity to crime rate, and had a great influence on local crime rate. Latino immigrant factor and employment convenience factor had a large impact scale and weak sensitivity, and had a small impact on local crime rate. It is suggested that Chicago government should take targeted measures to influence factors in different regions and scales.
基金
Supported by the Social Science Development Research Project of Hebei Province,China (20210201407)。