• Title/Summary/Keyword: Crime Hot Spots

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Detecting Crime Hot Spots Using GAM and Local Moran's I

  • Cheong, Jin-Seong
    • International Journal of Contents
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    • v.8 no.2
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    • pp.89-96
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    • 2012
  • Scientific analysis of crime hot spots is essential in preventing and/or suppressing crime. However, results could be different depending on the analytic methods, which highlights the importance of choosing adequate tools. The purpose of this study was to introduce two advanced techniques for detecting crime hot spots, GAM and Local Moran's I, hoping for more police agencies to adopt better techniques.GAM controls for the number of population in study regions, but local Moran's I does not. That is, GAM detects high crime rate areas, whereas local Moran's I identifies high crime volume areas. For GAM, physical disorder was used as a proxy measure for population at risk based on the logic of the broken windows theory. Different regions were identified as hot spots. Although GAM is generally regarded as a more advanced method in that it controls for population, it's usage is limited to only point data. Local Moran's I is adequate for zonal data, but suffers from the unavoidable MAUP(Modifiable Areal Unit Problem).

Innovative Spatial Analysis of Violent Crime Hot Spots in Korea: Implications for Urban Policy

  • Kyungjae, Lee
    • Asian Journal of Innovation and Policy
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    • v.11 no.3
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    • pp.320-341
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    • 2022
  • Empirical applications to explain criminogenic events are abundant. While much of the research in criminal studies concentrates on understanding the motivations of offenders and preventing victimization from a micro perspective, there have been recent theoretical advancements that give priority to the role of spatial factors in directly impacting crime rates. The primary purpose of this study is to investigate the empirical inference between violent crime incidence and spatial characteristics of local areas focusing particularly on spatial accessibility conditions in the areas. Applying discrete spatial econometrics models, this study reveals a significant relationship between spatial accessibility and the formation of violent crime hot spots in South Korea. Along with other variables, it is revealed that road accessibility has a clear association with violent crime hot spots. Based on the findings, this study suggests some policy implications such as effective surveillance systems, land use restrictions, and advanced street lighting.

A Study on Fear of crime and its impact factors in the Hot Spots Policing target region: Comparative analysis on multi-purpose maneuver patrol (핫스팟 경찰활동 예정지역에서의 범죄두려움과 그 영향요인 분석: 다목적기동순찰대 운영지역과 인접지역 간의 비교)

  • Shim, Myung-Sub;Lee, Chang-Han
    • Korean Security Journal
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    • no.45
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    • pp.243-271
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    • 2015
  • The primary aim of this study is to provide effective operational directions of multi-purpose maneuver patrol via practical analysis on the fear of crime and its impact factors in the Hot Spots Policing target region. Comparative Analysis on fear of crime and its impact factors such as informal social control, disorder, and the perception of police activities is conducted in regions of maneuver patrol against its neighborhood. In Conclusion, no evident differences in fear of crime between the regions of maneuver patrol and its neighborhood were found. However, regions of maneuver patrol displayed significant distinctions in informal social control and perception of crime frequency in comparison to its neighborhood of no such patrol. In addition, it was noticed that in both regions disorder and perception of crime frequency served as the impact factors of fear of crime, which in part exhibits positive relationship with perception of hot spots policing. This study concludes that criterion in deciding on the regions of maneuver patrol should include subjective impact factors such as fear of crime. Furthermore, it suggests that along with the current unsatisfactory maneuver patrol system there needs specific guideline to enhance the perception of police activities including strengthened interactions with residents, improvement in social disorder.

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Methodology of Extraction of Crime Vulnerable Areas Through Grid-based Analysis (격자망분석을 통한 범죄발생 취약지역 추출 기법)

  • Park, Jin Yi;Kim, Eui Myoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.4
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    • pp.221-229
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    • 2015
  • The urban crimes that threat individual's safety are parts of the serious social problems. However. the information of crime in Korea has only been provided by forms of hot spots around place of crime, or forms of crime statistics without positional information. Those could not provide enough information to users in identifying the vulnerable areas for substantive crimes. Therefore, this study suggested a methodology of extraction in criminal vulnerable areas by using the spatial information, the statistical information and the public sector information. The crime vulnerable areas were extracted through the grid-based spatial analysis and the overlapping analysis from each of the information. In fact, the extracted areas were able to provide detailed vulnerability information than the traditional hot spot-based crime information. Following the study, the extracted results in crime vulnerable areas have displayed highly coincide with Korea safety map, provided by national disaster management institute, which regards to be able to provide crime risk rating in terms of administrative business in future.

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.

An Analysis on the Spatial Pattern of Local Safety Level Index Using Spatial Autocorrelation - Focused on Basic Local Governments, Korea (공간적 자기상관을 활용한 지역안전지수의 공간패턴 분석 - 기초지방자치단체를 중심으로)

  • Yi, Mi Sook;Yeo, Kwan Hyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.1
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    • pp.29-40
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    • 2021
  • Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.