首页    期刊浏览 2024年07月05日 星期五
登录注册

文章基本信息

  • 标题:Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime
  • 本地全文:下载
  • 作者:Sun, Lijian ; Zhang, Guozhuang ; Zhao, Dan
  • 期刊名称:ISPRS International Journal of Geo-Information
  • 电子版ISSN:2220-9964
  • 出版年度:2022
  • 卷号:11
  • 期号:8
  • 页码:1-24
  • DOI:10.3390/ijgi11080428
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Comprehensively understanding the factors influencing crime is a prerequisite for preventing and combating crime. Although some studies have investigated the relationship between environmental factors and property crime, the interaction between factors was not fully considered in these studies, and the explanation of complex factors may be insufficient. This paper explored the influence of environmental factors on property crime using factor regression and factor interaction based on data from the central city of Lanzhou, China. Our findings showed that: (1) The distribution of crime cases showed the pattern of a local multi-center. Shop density, hotel density, entertainment density and house price were the four dominant environmental drivers of property crime; (2) The relationship between the light intensity and property crime had different correlation explanations in temporal projection and spatial projection. There was a normal distribution curve between the number of property crimes and the Price-to-Earnings Ratio (PE Ratio) of the community house price; and (3) The results of the factor interaction indicated that the effect of all factors on crime showed a two-factor enhancement. As an important catalyst, shop density had the strongest interaction with other factors. Shop density gradient influenced the degree of interpretation of spatial heterogeneity of property crime.
  • 关键词:property crime; environmental factors; factor interaction; Bayesian linear regression (BLR); geo-detector; Lanzhou
国家哲学社会科学文献中心版权所有