• Title/Summary/Keyword: 범죄발생위험지역

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Extraction of Crime Vulnerable Areas Using Crime Statistics and Spatial Big Data (공간 빅데이터와 범죄통계자료를 이용한 범죄취약지 추출)

  • Park, So-Rang;Park, Jae-Kook
    • Journal of Convergence for Information Technology
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    • v.8 no.1
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    • pp.161-171
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    • 2018
  • This study set out to identify crime vulnerable areas with the GIS spatial analysis technique for the prediction of crimes. Crime vulnerable areas were extracted from the statistics of crimes with the GIS hotspot analysis technique and the inverse distance weighted(IDW) method applied to different crimes according to places and use districts. The scope of surveillance and weight were calculated for each of CPTED surveillance elements including CCTV, streetlamp, patrol division, and police substation. Maps of crime vulnerable areas were overlapped one after another to make a CPTED-based one expressed in four grades(safety, attention, warning, and risk).

The Research on Location Monitoring Device using Exploratory Spatial Data Analysis (공간종속성 분석기반 모니터링 장비위치결정 기법)

  • Kim, Joo Hwan;Nam, Doohee;Jung, Jum Lae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.124-137
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    • 2018
  • The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

An Exploratory Study of on the Crime Patterns and Risk of Climate Gentrification (기후 젠트리피케이션으로 인한 범죄양상과 위험성에 관한 시론적 연구)

  • Sei Youen Oh
    • Journal of the Society of Disaster Information
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    • v.20 no.3
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    • pp.601-608
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    • 2024
  • Purpose: The purpose of this study is to predict the criminal patterns and risks of conflicts caused by inequality such as weakening regional ties and social exclusion caused by climate change and present basic policy data to solve them. Method: This study was mainly conducted through analysis of contents and cases through the use of media information such as the Internet and newspapers, and some literature research. Result: The crime patterns and characteristics of climate gentrification are as follows. First, rising sea levels caused by climate change will temporarily increase crimes related to real estate speculation. Second, social exclusion due to public service and environmental inequality will intensify, leading to terrorist crimes such as riots and hate crimes. Third, due to the weakening of regional ties, young people in poverty in the region will participate in organized violence crimes such as drugs and gangs or become crime victims. Conclusion: Therefore, it is necessary to prepare policy countermeasures through cooperation with institutions. In particular, it is necessary to explore ESG policy measures in police activities in consideration of environmental factors in the future.

Effect of Choice of Overseas Travel on Fear of risk in Overseas (해외에서 발생한 위험에 대한 두려움이 해외여행 선택에 미치는 영향)

  • Shin, Jaehun;Kim, Sangwooon
    • Journal of the Society of Disaster Information
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    • v.15 no.2
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    • pp.198-205
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    • 2019
  • Purpose: This study was conducted and analyzed using statistical techniques to examine the impact of fear of risk committed by risk committed overseas on people who are about to travel abroad. Method: In the event of a risk, fear of a risk occurs, and fear of a risk adversely affects people's daily lives, and in the event of a decline in daily life, affecting the economy and social activities of the area, a small risk often has a huge impact on society. In particular, the fear of risk committed abroad has an impact on overseas activities as overseas travel has been activated in time for the global era. Result and Conclusion: Therefore, according to the research, the fear of crimes committed overseas has a negative effect on the choice of overseas travel.

Burglary Prevention Effect of Target Hardening through Certified Security Products by WDQ Analysis (WDQ분석을 통한 타겟하드닝 CPTED의 침입범죄 예방효과 검증: 안산시 사례 중심으로)

  • Park, Hyeonho;Kim, Kang-Il;Cho, Joon-Tag
    • Korean Security Journal
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    • no.56
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    • pp.9-30
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    • 2018
  • Crime prevention strategies are introduced to reduce the loss caused by crimes, and Target hardening against domestic burglary attacks is broadly accepted as one of such physical security strategies. In terms of business and home security, target hardening is one of the suite of protective measures that are included in crime prevention through environmental design(CPTED). This can include ensuring all doors and windows are sourced and fitted in such a way that they can resist forcible and surreptitious from the attack of intruder. Target hardening with certified security doors, security windows and secure locks are revealed to be much more effective to deter burglary attacks than other security devices, such as CCTV, lightings and alarms which have largely psychological and indirect impact. A pilot program of target hardening utilizing certified security window and locks was carried out in Ansan city, South Korea in 2016. This study is based on the quasi-experimental design of this program for a residential area. The researchers tried to verify the crime displacement effect of the target hardening program and the diffusion effects of crime prevention benefits by analysing the crime statistics. The evaluation utilized WDQ(Weighted Displacement Quotient) technique to analyze whether the crime displacement occurred, compared the crime statistics of the experimental area with that of buffer zone and controlled areas. The result showed that the target hardening program was significantly effective in crime prevention. The number of burglary in the experimental site with target hardening intervention reduced by 100%, although the areas without the intervention showed reduction in the burglary. The crime displacement was not found at all, and the number of burlary at the buffer zone also reduced significantly.

Visualized Determination for Installation Location of Monitoring Devices using CPTED (CPTED기법을 통한 모니터링 시스템 설치위치 시각화 결정법)

  • Kim, Joohwan;Nam, Doohee
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.145-150
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    • 2015
  • Needs about safety of residents are important in urbanized society, elderly and small-size family. People are looking for safety information system and device of CPTED. That is, Needs and Installations of CCTV increased steadily. But, scientific analysis about validity, systematic plan and location of security CCTV is nonexistent. It is simply put these devised in more demanded areas. It has limits to look for safety of residents by increasing density of CCTVs. One of the characteristics of crime is clustering and stong interconnectivity. So, exploratory spatial data of crime is geo-coded using 2 years data and carried out cluster analysis and space statistical analysis through GIS space analysis by dividing 18 variables into social economy, urban space, crime prevention facility and crime occurrence index. The result of analysis shows cluster of 5 major crimes, theft, violence and sexual violence by Nearest Neighbor distance analysis and Ripley's K function. It also shows strong crime interconnectivity through criminal correlation analysis. In case of finding criminal cluster, you can find criminal hotspot. So, in this study I found concept of hotspot and considered technique about selection of hotspot. And then, selected hotspot about 5 major crimes, theft, violence and sexual violence through Nearest Neighbor Hierarchical Spatial Clustering.

A Study on Generation Methodology of Crime Prediction Probability Map by using the Markov Chains and Object Interpretation Keys (마코프 체인과 객체 판독키를 적용한 범죄 예측 확률지도 생성 기법 연구)

  • Noe, Chan-Sook;Kim, Dong-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.11
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    • pp.107-116
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    • 2012
  • In this paper we propose a method that can generate the risk probability map in the form of raster shape by using Markov Chain methodology applied to the object interpretation keys and quantified risk indexes. These object interpretation keys, which are primarily characteristics that can be identified by the naked eye, are set based on the objects that comprise the spatial information of a certain urban area. Each key is divided into a cell, and then is weighted by its own risk index. These keys in turn are used to generate the unified risk probability map using various levels of crime prediction probability maps. The risk probability map may vary over time and means of applying different sets of object interpretation keys. Therefore, this method can be used to prevent crimes by providing the ways of setting up the best possible police patrol beat as well as the optimal arrangement of surveillance equipments.

Exploring the Priorities of Housing Needs to Address Safety Inequality and Enhance Settlement Stability for Young Adults: Focusing on Regional Discrimination (Stigma) or Gender Difference (Deficiency Needs) (청년주거의 안전 불평등 해소 및 정주성 제고를 위한 주거 욕구 우선순위 탐색: 지역차별(낙인효과)과 성별(결핍욕구)을 중심으로)

  • Gim, Tae-Hyoung Tommy;Lee, Jiwon;Kim, Jiyeon
    • Journal of the Korean Regional Science Association
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    • v.40 no.3
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    • pp.3-21
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    • 2024
  • A safe residential environment enhances the quality of human life and promotes community development through self-actualization. It significantly affects regional stability by influencing the physical and psychological environment necessary to satisfy basic needs, providing a sense of security and alleviating anxiety. Safety is a major housing need; however, current housing policies tend to focus predominantly on housing supply. This emphasis limits the fulfillment of higher-level needs due to poor housing conditions and housing cost burdens faced by young households. Therefore, this study aims to identify areas affected by the stigma effect by analyzing the discrepancy between perceived crime risk and actual crime occurrence among single-person young households. The study compares these stigmatized areas with regions where the perceived crime risk is lower than the actual crime occurrence to identify differences in housing needs satisfaction and to prioritize policy interventions. Additionally, the study examines differences in housing needs satisfaction and importance based on gender to inform policy priorities. By considering the stigma effect on regional housing needs and gender-specific deficiencies, this study provides significant policy implications.

Construction of Urban Crime Prediction Model based on Census Using GWR (GWR을 이용한 센서스 기반 도시범죄 특성 분석 및 예측모델 구축)

  • YOO, Young-Woo;BAEK, Tae-Kyung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.65-76
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    • 2017
  • The purpose of this study was to present a prediction model that reflects crime risk area analysis, including factors and spatial characteristics, as a precursor to preparing an alternative plan for crime prevention and design. This analysis of criminal cases in high-risk areas revealed clusters in which approximately 25% of the cases within the study area occurred, distributed evenly throughout the region. This means that using a multiple linear regression model might overestimate the crime rate in some regions and underestimate in others. It also suggests that the number of deserted houses in an analyzed region has a negative relationship with the dependent variable, based on the multiple linear regression model results, and can also have different influences depending on the region. These results reveal that closure signs in a study area affect the dependent variable differently, depending on the region, rather than a simple or direct relationship with the dependent variable, as indicated by the results of the multiple linear regression model.

The research on enhance the reinforcement of marine crime and accident using geographical profiling (지리적 프로파일링을 활용한 해양 범죄 및 해양사고 대응력 강화에 관한 연구)

  • Soon, Gil-Tae
    • Korean Security Journal
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    • no.48
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    • pp.147-176
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    • 2016
  • Korean Peninsula is surrounded by ocean on three sides. Because of this geographical quality over 97% of export and import volumes are exchange by sea. Foreign ship and international passenger vessels carries foreign tourist and globalization and internationalization increases this trends. Leisure population grows with national income increase and interest of ocean. And accidents and incidents rates are also increases. Korea Coast Guard's jurisdiction area is 4.5 times bigger than our country. The length of coastline is 14,963km including islands. One patrol vessel is responsible for 24,068km and one coast guard substation is responsible for 94km. Efficient patrol activities can not be provided. This research focus on this problem. Analyze the status and trends of maritime crime and suggest efficient patrol activities. To deal with increasing maritime crime rate this study suggest to use geographical profile method which developed early 1900s in USA. This geographical profile analyse the spatial characteristic and mapping this result. With this result potential crime zone can be predicted. One of the result is hot spot management which gives data about habitual crime zone. In Korea National Police Agency adopt this method in 2008 and apply on patrol and crime prevention activity by analysis of different criteria. Korea National Police Agency analyse the crime rate with crime type, crime zone and potential crime zone, and hourly, regionally criteria. Korea Coast Guard need to adopt this method and apply on maritime to make maritime crime map, which shows type of crime with regional, periodical result. With this geographical profiling we can set a Criminal Point which shows the place where the crime often occurs. The Criminal Points are set with the data of numerous rates such as homicide, robbery, burglary, missing, collision which happened in ocean. Set this crime as the major crime and manage the data more thoroughly. I expect to enhance the reinforcement of marine crime using this Criminal Points. Because this points will give us efficient way to prevent the maritime crime by placing the patrol vessel where they needed most.

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