Measuring the spatial clustering of theft-related crimes

The formation of crime hotspots has a direct impact on quality of life, flourishing and prosperity, choosing the location of residence, and movement of the city towards instability. Accordingly, the purpose of this study is to determine and measure the formation of spatial hotspots of the theft in the new city of Hashtgerd.
The method of this research is descriptive-analytical and applied methods such as Standard Deviation Oval, Nearest Neighbor Index and Kernel Density Estimation have been utilized.
Findings: The center of the medium crimes related to theft is located in Phase 3. The standard deviation oval of this crime has a north-south-west orientation. The Z test score is -22.510590, which confirms the formation of a crime cluster in Hashtgerd. Based on the results of the kernel density, the distribution of theft related crimes is in phases 1, 4, 7, and at lower levels in phase 2, and the radius of this crime has involved the city.
The addition of social and economic characteristics (poverty, residential mobility and ethnic diversity) and urbanization, such as lack of parking in Mehr Residence Complexes phases, lack of adequate lighting in roads, urban disruption and abundant empty spaces, empty units and broken windows are the most influential factors of theft in the new Hashtgerd city.