Explore the Correlation between Environmental Factors and the Spatial Distribution of Property Crime

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...

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Bibliographic Details
Published in:ISPRS international journal of geo-information 2022-08, Vol.11 (8), p.428
Main Authors: Sun, Lijian, Zhang, Guozhuang, Zhao, Dan, Ji, Ling, Gu, Haiyan, Sun, Li, Li, Xia
Format: Article
Language:English
Subjects:
Bayesian linear regression (BLR)
Burglary
Catalysts
City centres
Correlation
Crime
Crime prevention
Criminology
Density gradients
Distribution
Environmental factors
factor interaction
geo-detector
Heterogeneity
Lanzhou
Light intensity
Luminous intensity
Normal distribution
Patchiness
Population density
Property crime
Robbery
Security management
Spatial distribution
Spatial heterogeneity
Statistical analysis
Urban areas
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Summary: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.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi11080428