• Title/Summary/Keyword: 범죄다발지역

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Analysis of Spatial Crime Pattern and Place Occurrence Characteristics for Building a Safe City (안전도시 조성을 위한 범죄의 공간적 분포와 도시의 장소별 발생특성 분석)

  • Heo, Sun-Young;Moon, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.78-89
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    • 2012
  • The purpose of this study is to examine the possibility of crime prevention in consideration of urban physical environment by analyzing the spatial distribution characteristics and pattern using actual crime occurrence data of the case city. The crime data was rebuilt by transforming them into geographic information system to analyze the spatial aspect of crime occurrence. The findings are as follows: a change from 2008 to 2011 is indicated with similar trend. But the local movements of crime hot spots are found. Moreover crimes were happening along the roads in linear pattern rather than inside of blocks in commercial area. This indicates the importance of environmental improvement of roads and open spaces. In addition it was found that the crime occurrence in a dangerous district can be reduced and prevented through the physical environment design and urban planning. The findings will contribute to promoting fundamental crime prevention as the physical environmental improvement in a city and to building a safe community as its result.

Design and Implementation of Crime Analysis GIS (범죄분석 지리정보시스템의 설계와 구현)

  • 박기호
    • Spatial Information Research
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    • v.8 no.2
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    • pp.213-232
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    • 2000
  • It is important to scrutinize spatial patterns in crime analysis since crime data has geographical attribute in itself. We focus on the development of ¨Crime Analysis GIS¨ prototype which can discover spatial patterns in crime data by integrating mapping functions of GIS and spatial analysis techniques. The structure of this system involves integration of DBMS and GIS, and the major functions of the system include (i) exploring spatial distribution of point data, (ii) mapping hot-spot, (iii) clustering analysis of crime occurrence, and (iv) analyzing aggregated areal data. The process of design and implementation of this system is based on object-oriented methodologies. A web-based extension of the prototype using 3-tier architecture is currently under development.

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Hotspot Analysis of Urban Crime Using Space-Time Scan Statistics (시공간검정통계량을 이용한 도시범죄의 핫스팟분석)

  • Jeong, Kyeong-Seok;Moon, Tae-Heon;Jeong, Jae-Hee
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.3
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    • pp.14-28
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    • 2010
  • The aim of this study is to investigate crime hotspot areas using the spatio-temporal cluster analysis which is possible to search simultaneously time range as well as space range as an alternative method of existing hotspot analysis only identifying crime occurrence distribution patterns in urban area. As for research method, first, crime data were collected from criminal registers provided by official police authority in M city, Gyeongnam and crime occurrence patterns were drafted on a map by using Geographic Information Systems(GIS). Second, by utilizing Ripley K-function and Space-Time Scan Statistics analysis, the spatio-temporal distribution of crime was examined. The results showed that the risk of crime was significantly clustered at relatively few places and the spatio-temporal clustered areas of crime were different from those predicted by existing spatial hotspot analysis such as kernel density analysis and k-means clustering analysis. Finally, it is expected that the results of this study can be not only utilized as a valuable reference data for establishing urban planning and crime prevention through environmental design(CPTED), but also made available for the allocation of police resources and the improvement of public security services.

An Analysis on the CCTV Location Appropriateness and Effectiveness for the Crime Prevention (범죄예방을 위한 CCTV 위치 적절성 및 효과성 분석)

  • Heo, Sun-Young;Moon, Tae-Heon
    • Journal of the Korean association of regional geographers
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    • v.21 no.4
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    • pp.739-750
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    • 2015
  • This study aims to investigate the possibility of crime prevention through CCTV by analyzing the appropriateness of the CCTV location, whether it is installed in the hotspot of crime-prone areas, and exploring the crime prevention effect and transition effect. The real crime and CCTV locations of case city were converted into the spatial data by using GIS. The data was analyzed by hotspot analysis and weighted displacement quotient (WDQ). The results demonstrated that there was no significant effect in the installation of CCTV on crime prevention. This indicates that CCTV should be installed and managed in a more scientific way reflecting local crime situations. In terms of CCTV, the methods of spatial analysis such as GIS, which can evaluate the installation effect, and the methods of economic analysis like cost-benefit analysis should be developed. In addition, these methods should be distributed to local governments across the nation for the appropriate installation of CCTV and operation. This study intended to find a design guideline of the optimum CCTV installation. In this regard, this study is meaningful in that it will contribute to the creation of a safe city.

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Analysis of Spatio-temporal Pattern of Urban Crime and Its Influencing Factors (GIS와 공간통계기법을 이용한 시·공간적 도시범죄 패턴 및 범죄발생 영향요인 분석)

  • Jeong, Kyeong-Seok;Moon, Tae-Heon;Jeong, Jae-Hee;Heo, Sun-Young
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.1
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    • pp.12-25
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    • 2009
  • The aim of this study is to analyze the periodical and spatial characteristics of urban crime and to find out the factors that affect the crime occurrence. For these, crime data of Masan City was examined and crime occurrence pattern is ploted on a map using crime density and criminal hotspot analysis. The spatial relationship of crime occurrence and factors affecting crime were also investigated using ESDA (Exploratory Spatial Data Analysis) and SAR (Spatial Auto-Regression) model. As a result, it was found that crimes had strong tendency of happening during a certain period of time and with spatial contiguity. Spatial contiguity of crimes was made clear through the spatial autocorrelation analysis on 5 major crimes. Especially, robbery revealed the highest spatial autocorrelation. However as a autocorrelation model, Spatial Error Model(SEM) had statistically the highest goodness of fit. Moreover, the model proved that old age population ratio, property tax, wholesale-retail shop number, and retail & wholesale number were statistically significant that affect crime occurrence of 5 most major crimes and theft crime. However population density affected negatively on assault crime. Lastly, the findings of this study are expected to provide meaningful ideas to make our cities safer with U-City strategies and services.

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Development and Application of CCTV Priority Installation Index using Urban Spatial Big Data (도시공간빅데이터를 활용한 CCTV 우선설치지수 개발 및 시범적용)

  • Hye-Lim KIM;Tae-Heon MOON;Sun-Young HEO
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.2
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    • pp.19-33
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    • 2024
  • CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

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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Use Strategies of CPTED for the Safety of University Campus (대학 캠퍼스의 안전을 위한 CPTED 운용전략)

  • Park, Dong-Kyun
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.340-347
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    • 2010
  • Though there are many crimes on and out university campus in Korea, no one knows anything about the size or the types of campus crime. But, there are many theft crimes and sex assault in the library and one-room village near the university campus. This study suggested the establish ways and means needed to improve the campus security system, with the focus on the CPTED(Crime Prevention Through Environmental Design). Various types of crime prevention methods are being considered instead of conventional crime suppression measures. Among them, CPTED is drawing global attention. Crime prevention through environmental design is a multi-disciplinary approach to deterring criminal behavior through environmental design. CPTED strategies rely upon the ability to influence offender decisions that precede criminal acts. A truly safe campus can be achieved only through the cooperation of all students, faculty, staff and visitors. The cooperation and involvement of the entire campus community in campus crime prevention is absolutely necessary. University should adopt a series of policies and procedures designed to ensure that every possible precaution is taken to protect persons and property on campus.