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Analysis of Influential Factors of Violent Crimes and Building a Spatial Cluster in South Korea

Analysis of Influential Factors of Violent Crimes and Building a Spatial Cluster in South Korea This study analyzed the spatial distribution of violent crime (murder, robbery, rape, assault, and larceny) in Korea and the relationship between violent crime and the governance, administrative, physical, and socio-economic factors of local communities. The occurrence of violent crime was approached from the perspective of the community, not from a personal perspective, based on the theoretical ecological perspective. In addition, an analysis model (spatial lag model) designed to analyze spillover effect between neighboring communities. For the analysis, this study used the data of 56 sub-local governments of Seoul Metropolitan City and Gyeonggi Province in 2015.The analysis results are as follows: First, this study identified five major violent crime occurrence situations through descriptive statistical analysis. Second, the hot-spot and cold-spot of violent crime were derived through exploratory spatial analysis (Moran's I, LISA). Third, this study derived the relationship between the incidence of violent crime and the governance, administrative, physical, and socioeconomic factors of the community through spatial regression analysis based on the spatial lag model. Specifically, the valid factors influenced on the five major violent as follows: variables of local security council in space effect and governance; variables of crime monitoring facilities and crime agency in administrative capacity; variables of detrimental facilities density in physical environment; variables of race heterogeneity and family disorganization(divorce rate) in socio-economic environments. This study presented policy implications based on the above analysis results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Spatial Analysis and Policy Springer Journals

Analysis of Influential Factors of Violent Crimes and Building a Spatial Cluster in South Korea

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Publisher
Springer Journals
Copyright
Copyright © Springer Nature B.V. 2019
Subject
Social Sciences; Human Geography; Landscape/Regional and Urban Planning; Regional/Spatial Science
ISSN
1874-463X
eISSN
1874-4621
DOI
10.1007/s12061-019-09327-1
Publisher site
See Article on Publisher Site

Abstract

This study analyzed the spatial distribution of violent crime (murder, robbery, rape, assault, and larceny) in Korea and the relationship between violent crime and the governance, administrative, physical, and socio-economic factors of local communities. The occurrence of violent crime was approached from the perspective of the community, not from a personal perspective, based on the theoretical ecological perspective. In addition, an analysis model (spatial lag model) designed to analyze spillover effect between neighboring communities. For the analysis, this study used the data of 56 sub-local governments of Seoul Metropolitan City and Gyeonggi Province in 2015.The analysis results are as follows: First, this study identified five major violent crime occurrence situations through descriptive statistical analysis. Second, the hot-spot and cold-spot of violent crime were derived through exploratory spatial analysis (Moran's I, LISA). Third, this study derived the relationship between the incidence of violent crime and the governance, administrative, physical, and socioeconomic factors of the community through spatial regression analysis based on the spatial lag model. Specifically, the valid factors influenced on the five major violent as follows: variables of local security council in space effect and governance; variables of crime monitoring facilities and crime agency in administrative capacity; variables of detrimental facilities density in physical environment; variables of race heterogeneity and family disorganization(divorce rate) in socio-economic environments. This study presented policy implications based on the above analysis results.

Journal

Applied Spatial Analysis and PolicySpringer Journals

Published: Sep 27, 2020

References