• Title/Summary/Keyword: Environmental Criminology

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A Study on the Characteristics of the Spatial Distribution of Sex Crimes: Spatial Analysis based on Environmental Criminology (성폭력 범죄의 공간적 분포 특성에 관한 연구: 환경범죄학에 기반한 공간 분석)

  • Lee, Gunhak;Jin, Chanwoo;Kim, Jiwoo;Kim, Wanhee
    • Journal of the Korean Geographical Society
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    • v.51 no.6
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    • pp.853-871
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    • 2016
  • The interest in the prevention of sex crimes and social secure is growing as the number of cases by sexual offences becomes higher. Although various punishable ways have been introduced so far, increasing sex crime is still going on. Thus, effectiveness of legal systems for preventing crimes is questionable. More recently, the approach for environmental criminology has been paid attention for reducing criminal opportunities through environmental design and management of crimes. This study attempts to look over the spatial distribution of sexual crimes in the context of environmental criminology, and examine the correlation between regional environmental factors and the occurrence of sexual crimes empirically. To do this, we visualized the map for sex crimes at the macro-scale and explored the spatial distribution of sexual crimes and spatial clusters based on various spatial statistics using sex crime data published online by the ministry of gender equality and family. Also, we derived the environmental characteristics of sexual crimes by multivariate regression analysis on a large number of explanatory variables of regional environment. Our results will help to understand the current situation and spatial aspects of sex crimes in the nation more realistically. Further, it is respected that our results might be useful basic information for establishing regional policies and plans for the prevention of the sexual crime and enhanced public policing.

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Study on the distribution of crime in urban space - Gwangju metropolitan city from the perspective of the environmental criminology - (도시공간의 범죄분포특성에 관한 연구 - 환경범죄학의 관점에서 광주광역시를 대상으로 -)

  • Kim, Young-Hwan;Mun, Jeong-Min;Chang, Dong-Kuk
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.5
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    • pp.235-241
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    • 2007
  • AThis research is rather on the crime occurrence of target area's space scope than on the approach to the cause of specific area's crime occurrence from the perspective of the environmental criminology emphasizing the crime prevention. By observing the composition of crime distribution, it is intended to search the strategies of crime prevention actually corresponded to the crime problems. For this, after segmenting the city into six sectors, targeting city crimes in Gwangju metropolitan city, in 2004, the basic materials about the crime frequency are analyzed through dividing the types on the base of the present state of crime occurrence, the types of crime, the locations of crime occurrence, the purposes of buildings, the types of intruders, the forms of intrusions. As a result of research. it is suggested that the activation method of community police activities is necessary for the prevention of community crime prevention.

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A Study on the Applicability of Data Mining for Crime Prediction : Focusing on Burglary (범죄예측에서의 데이터마이닝 적용 가능성 연구 : 절도범죄를 중심으로)

  • Bang, Seung-Hwan;Kim, Tae-Hun;Cho, Hyun-Bo
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.12
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    • pp.309-317
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    • 2014
  • Recently, crime prediction and prevention are the most important social issues, and global and local governments have tried to prevent crime using various methodologies. One of the methodologies, data mining can be applied at various crime fields such as crime pattern analysis, crime prediction, etc. However, there is few researches to find the relationships between the results of data mining and crime components in terms of criminology. In this study, we introduced environmental criminology, and identified relationships between environment factors related with crime and variables using at data mining. Then, using real burglary data occurred in South Korea, we applied clustering to show relations of results of data mining and crime environment factors. As a result, there were differences in the crime environment caused by each cluster. Finally, we showed the meaning of data mining use at crime prediction and prevention area in terms of criminology.

Crime Prevention by Using CPTED and Improvement (환경설계를 통한 범죄예방 및 개선방안)

  • Park, Kwang-Hyun
    • Journal of Digital Contents Society
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    • v.18 no.4
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    • pp.733-738
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    • 2017
  • This study is to find out empirically how the fear of crime is affected by the level of recognition of people. CPTED elements including natural surveillance, access control, utilization enhancement, territoriality securement, etc. Safety of residents could be considered and then increased when we plan, design, and operate a city. In Korea, CPTED is currently being applied to every town. However, it is not systemized and neither efficient, for there are no constraint provisions, and the foreign cases are not specifically customized to the current situation of the country. This study, therefore, aims to find the limits from analyzing related laws and regimes, administrative regulations, and applied cases, and to deduct improvement plans based on examined foreign cases.

Exploring the Relationship between Place and Crime Using Spatial Econometrics Model

  • Lee, Soochang;Kim, Daechan
    • International Journal of Advanced Culture Technology
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    • v.9 no.2
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    • pp.32-38
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    • 2021
  • The purpose of this study is to examine the spatial characteristics of violent and burglary crimes in South Korea. Violent crimes and burglary crimes depend on a spatial setting with good conditions for their criminal purposes. This study defines population density, racial heterogeneity, types of houses, and density of commercial facilities as variables of place affecting crime in cities and counties. The study collects data from 229 cities in Korea to analyze the effect of spatial characteristics on crime. We conduct additional analyses to meet the statistical requisites of the spatial econometrics model using the open-source software R and GeoDa 1.12.1.129. From the analytical result, population density, racial heterogeneity, apartments, and commercial areas relate to crime occurrence. We suggest the implication of the theoretical and practical contributions to the relationship between place and crime.

Crime Prevention by Using CPTED and Improvement (CPTED를 활용한 범죄예방 및 개선방안)

  • Park, Kwang-Hyun
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.157-159
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    • 2016
  • 최근 학교폭력 및 묻지마 범죄가 꾸준히 증가추세에 있다. 2011년 12월 학교폭력에 의한 대구중학생 자살사건, 2010년 2월 김길태 사건과 6월 김수철 사건, 2016년 5월 강남역 노래방 살인사건과 6월 섬마을 여교사 사건 등 사회적 약자인 소년, 여성 대상범죄 및 묻지마 범죄가 사회문제로 대두되고 있다. 이에 따라 범죄예방 도구이자 전략으로써 CPTED가 하나의 대안으로 부각되고 있다. 국토교통부는 건축물, 건축설비 및 대지에 관한 범죄예방 기준인 '범죄예방 건축기준 고시'를 2015년부터 시행하고 있는데 적용대상 건물 등은 이 기준에 따라 설계하고 건축해야 한다. 현대 위험사회에서 강력범죄 및 경범죄의 사전예방을 위해서는 사회 안전시스템 구축이 요구되며 그 대안으로 환경설계를 통해 범행기회를 심리적, 물리적으로 차단하는 정책을 모색함으로써 환경범죄학 입장에서 범죄예방에 접근할 필요가 있다.

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An Analysis of Urban Residential Crimes using Eigenvector Spatial Filtering (아이겐벡터 공간필터링을 이용한 도시주거범죄의 분석)

  • Kim, Young-Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.12 no.2
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    • pp.179-194
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    • 2009
  • The spatial distribution of crime incidences in urban neighborhoods is a reflection of their socio-economic environment and spatial inter-relations. Spatial interactions between offenders and victims lead to spatial autocorrelation of the crime incidences. The spatial autocorrelation among the incidences biases the interpretation of the ecological model in OLS framework. This research investigates residential crimes using residential burglaries and robberies occurred in the city of Columbus, Ohio, for 2000. In particular, the spatial distribution of incidence rates of residential crimes are accounted in OLS framework using eigenvectors, which reflect spatial dependence in crime patterns. Result presents that handling spatial autocorrelation enhanced model estimation, and both economic deprivation and crime opportunity are turned out significant in estimating residential crime rates.

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Determinants of Homicide Locations Using Spatial Regression Analysis (공간회귀분석을 활용한 살인사건 영향요인 분석)

  • Lee, Soochang
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.203-211
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    • 2019
  • This study is to examine the impact of spatial characteristics of cities on homicide based on spatial econometric model. It selects housing types, racial heterogeneity, residential instability, overcrowding, commercial area, rate of 15 to 29 ages, and rate of the elderly as variables for spatial characteristics of cities. This study employs spatial regression analysis applying the spatial error model to analyze the data from 229 locals collected from Korean Statistical Information Service and Statistical Year Book of local governments. As a result, it shows that homicide has close relationships with apartment and multi-housing as housing types, racial heterogeneity, residential instability, and overcrowding, but not with the commercial area, rate of 15 to 29 ages, and rate of the elderly. The study contributes to expanding understanding and explanation on the causes of homicide focusing on social-structure approach for criminology by analyzing a more advanced model in applying variables than one of existing literature. This study suggests follow-up research on homicide based on both social-behavior approach and social-structure approach in the near future for the development of criminological theory.

The Effects of Urban Park and Vegetation on Crime in Seoul and Its Planning Implication to CPTED (CPTED 요소로써 서울시 공원·녹지의 효과와 계획적 함의)

  • Cho, Min-gyun;Park, Chan;Jang, Jeong-in
    • Journal of the Korean Institute of Landscape Architecture
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    • v.46 no.3
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    • pp.27-35
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    • 2018
  • In the mandatory application of the CPTED, only negative parts of urban parks and vegetation were reflected. Therefore, this study tries to present the positive effects of urban parks and vegetation. The purpose of this study is to demonstrate the effects of urban parks and vegetation on crime occurrence and to suggest the planning implications of this to CPTED based on theory related to crime, environmental psychology, and crime occurrence analysis. This study used the crime occurrence data of Seoul, NDVI, population, distance from urban park, floating population, and the like. This study collected data from the Statistics Korea, the local government, and Landsat 8 satellite images provided by the USGS and created data of environmental variables and social variables by district using ArcGIS and statistical program. Literature analysis, correlation analysis, regression analysis, and geographically weighted regression were used to determine the relationship between crime occurrence and environmental variables, and to discuss its implication. It was found that crime occurrence has a relationship with the total population (${\beta}=.663$), the number of amusement facilities (${\beta}=.447$) and the area of a police station jurisdiction (${\beta}=.395$). This confirms that a crime rate is low when the floating population is large (${\beta}=-.241$) and vegetation vitality is high (NDVI, ${\beta}=-.281$). Vegetation vitality (NDVI) is effective in lowering violence through psychological stabilization, strengthening territoriality and improving regional image. The implications for the allocation of urban park and vegetation, program and management plan of urban park and vegetation to reduce crime occurrence have therefore been presented.

Crime risk implementation for safe return service (안심귀가 구현을 위한 범죄위험도 산출)

  • Park, Mi Ri;Kim, Yu Sin;Choi, Sang Hyun
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.5
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    • pp.1097-1104
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    • 2015
  • Rapid social and economic growth has brought positive results. At the same time, due to the increase in crime, crime prevention is important. There are many papers that analyze crime trends and crime type. Based on this, there are studies to ensure the safety of people. The study calculated the risk for the crime. it is necessary to exert a great effect on crime prevention alternatives. This paper uses crime data provided from San Francisco and victims data provided from FBI. And, it proposes the crime risk calculation. By analyzing the type of user, risk degree is given different weights according to the user, and assess the risk of crime.