• Title/Summary/Keyword: Five Major Crimes

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Spatio-temporal analysis with risk factors for five major violent crimes (위험요인이 포함된 시공간 모형을 이용한 5대 강력범죄 분석)

  • Jeon, Young Eun;Kang, Suk-Bok;Seo, Jung-In
    • The Korean Journal of Applied Statistics
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    • v.35 no.5
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    • pp.619-629
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    • 2022
  • The five major violent crimes including murder, robbery, rape·forced indecent act, theft, and violence are representative crimes that threaten the safety of members of society and occur frequently in real life. These crimes have negative effects such as lowering the quality of citizens' life. In the case of Seoul, the capital of Korea, the risk for the five major violent crimes is increasing because the population density of Seoul is increasing as a large number of people in the provinces move to Seoul. In this study, to reduce this risk, the relative risk for the occurrence of the five major violent crimes in Seoul is modeled using three spatio-temporal models. In addition, various risk factors are included to identify factors that significantly affect the relative risk of the five major violent crimes. The best model is selected in terms of the deviance information criterion, and the analysis results including various visualizations for the best model are provided. This study will help to establish efficient strategies to sustain people's safe everyday living by analyzing important risk factors affecting the risk of the five major violent crimes and the relative risk of each region.

Analysis of the Five Major Crime Utilizing the Correlation·Regression Analysis with GIS (GIS와 상관·회귀분석을 활용한 5대 범죄의 특성분석)

  • Kim, Chang Kuy;Kang, In Joon;Park, Dong Hyun;Kim, Sang Seok
    • Journal of Korean Society for Geospatial Information Science
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    • v.22 no.3
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    • pp.71-77
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    • 2014
  • People in the modern society want to live under safe and comfortable circumstances. As our society, however, is sharply developing, crimes are getting smarter and more difficult to treat. Above all, they often take place around us, and we are trying to cope with them variously in order to make our lives more comfortable and safer. In particular, five major crimes(Murde, Robber, Rape, Violence, Theft ) that most frequently occur in the real life are very threatening and fearful so it is necessary to deal with them with "the scientific method." In this study, therefore, we searched the frequency of crime by its type and analyzed spatial characteristics between crimes and criminal factors by using regression analysis and correlation analysis based on the crime data that has occurred around Geumjeng-gu, Busan so that we can confront five major crimes.

Anslysis of Relationship between Reasons for Mereorological Change and Crime (기상변화요인과 범죄발생의 관계분석)

  • Kim, JongMin;Kim, MinSu;Yoo, SeungJae;Lee, DongHwi
    • Convergence Security Journal
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    • v.12 no.6
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    • pp.107-113
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    • 2012
  • This study examined relationship between the major five crimes(murder, robbery, rape, theft and violence) and elements of meteorological change(weather, temperature, precipitation, wind velocity and humidity). Elements of meteoro logical change corresponding to the date recorded by a meteorological office and the number of occurrences from January $1^{st}$ 2010 to October $19^{th}$ 2012 collected from major portal sites were used for this study. Based on this data, SPSS 12.0 was utilized to analyze relationship between crimes and elements of meteorological change, allowing us to find out relationship between crimes and elements of meteorological change. This analysis finding is sure to pave the way for research of this field.

Crime Mapping using GIS and Crime Prevention Through Environmental Design (GIS와 범죄예방환경설계 기반의 범죄취약지도 작성)

  • Park, Dong Hyun;Kang, In Joon;Choi, Hyun;Kim, Sang Seok
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.31-37
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    • 2015
  • The recent long-term economic recession and business depression are constantly increasing the occurence of the five major crimes(murder, robbery, rape, theft, violence). When looking into the previously-analyzed characteristics of how the five major crimes are committed, this study understands that the crimes mostly occur in these crime-ridden areas of poor public order and security and, in order to decrease the crime rates of the crime-prone areas, any relevant fields have been emphasizing the application of CPTED. In the light of that, referring to CPTED surveillance factors and the current crime rate data, the study presented ways to help the relevant fields draw up a crime-prone area grade map. In particular, the security center among monitoring elements was visualized by dividing it into point patrol and directed patrol and by dividing it into 3 steps monitoring levels with CCTV and street lights. In addition, we checked the crime rate by zoning through crime statistics occurred in the research areas and established a crime status map. We estimated the weight through AHP analysis on the built monitoring elements and the zoning of the occurred areas, as a result of making a map vulnerable to crime by monitoring steps by overlapping each element, we were able to confirm that 60% of theft, 52% of violence and 33% of rape in the 1st grade area were reduced compared to the 1st step in monitoring Step 3.

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.

Application of Crime Prevention Design based on Public Data Analysis: Focusing on Seoul (공공데이터분석 기반 범죄예방환경설계 적용 : 서울시 중심으로)

  • Kim, Sung-Jun
    • Korean Security Journal
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    • no.60
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    • pp.91-111
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    • 2019
  • Violent crimes have increased continuously due to the development of urban society and have become a threatening factor against the residential safety of citizens. The prevention of these crimes is always a major topic in human society and one of the fundamental elements of the quality of life and safety of citizens. In recent years, much attention has been paid to environmental design through the Crime Prevention Through Environmental Design (CPTED) as a preventive measure. Currently, South Korea is promoting the openness and utilization of public data, and crime prevention is one of the fields that can utilize public data actively. This approach to crime prevention utilizing public data will be helpful for the proposal of policies from new viewpoints departing from the general utilization measures of CPTED that improve streetlights and closed-circuit television (CCTV) installations, whose limitations have been pointed out as they are only mechanical surveillance. Thus, this study sets the research scope based on the statistics of the status of five criminal offenses by administrative district in recent years provided by the data portal in Seoul City, the capital of South Korea, as the utilization data and concentrates on the analysis. Based on the analysis results, this study proposes a method to utilize classical music as a new policy for regions where the improvements are most needed. The open-source Python analysis program was employed as the main data analysis and visualization method.

Content Analysis of News Coverage on Games after the Inclusion of Gaming Disorder in ICD-11 (WHO의 게임 이용 장애 질병 코드화 이후 언론의 게임 보도에 대한 내용 분석)

  • Lee, Sook-Jung;Youk, Eun-Hee
    • Journal of Korea Game Society
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    • v.21 no.3
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    • pp.91-106
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    • 2021
  • This study examined how news has covered games since the decision to include gaming disorder in ICD-11. Data were 694 news article on games in five major newspapers. The results indicated the following: While the proportion of reports on game industry was high, those reports were mainly straight news announcing industry status and corporate management status. Reports on game policy focused on regulations, particularly game addiction or disorder. Reports on game uses and effects showed very low rates, but they have followed the existing practices of reporting games as the cause of extreme crimes and deviant behaviors.

Visualization of women's safety facility index based on public data analysis: Focusing on Seoul (공공데이터 분석 기반 여성안전 시설지수 시각화: 서울시 중심으로)

  • Kim, Hyeong-Gyun
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.19-24
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    • 2021
  • In this paper, an index of women's safety facilities was created and visualized using public data related to Seoul. CPTED, the women's safety facilities index was created by collecting and analyzing eight data related to the local women's safety index and five major crime victims of women. As a result of the correlation analysis between the factors of the female safety facility index and the number of female crime victims, three data were selected as the main factors, "CCTV," "street lamps," and "female security guardians", which were found to be meaningful at the 95% level of reliability. The distinction women's safety facility index was calculated by weighting the correlation coefficient between the main factors for calculating the women's safety facility index, and visualized using Python's Follium library.

Consideration of New Convergence Security Threats and Countermeasures in the Zero-Contact Era (비대면 시대의 신 융합보안 위협과 대응 방안에 대한 고찰)

  • Yu, Dong-Hyun;Kim, Yong-Uk;Ha, Young-Jae;Ryu, Yeon-Seung
    • Journal of the Korea Convergence Society
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    • v.12 no.1
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    • pp.1-9
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    • 2021
  • Recently, new types of security crimes have been steadily occurring in Korea due to environmental changes such as the development of IT technology, and responding to these threats has become a key national task for the establishment of a safe society as well as individuals and businesses. Meanwhile, as the Zero-Contact Era has arrived since the COVID-19 Pandemics, a new convergence security threat that combines the characteristics of the Zero-Contact Era with the existing IT development is threatening our society. Research to prevent and correct these new levels of threats is continuously required in this study. Chapter 1 examined the causes of new convergence security threats and Chapter 2 discussed cybersecurity, fake news, remote voting·work and video security threats as five major threats.

A Study on the Linkage between Intelligent Security Technology based on Spatial Information and other Technologies for Demonstration of Convergence Technology (융복합 기술 실증을 위한 공간정보 기반 지능형 방범 기술과 타 분야 기술 간 연계 방안 연구)

  • Shin, Young-Seob;Han, Sun-Hee;Yu, In-Jae;Lee, Jae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.1
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    • pp.622-632
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    • 2018
  • With the recent changes in the social environment, the growth in the so-called 'five major crimes' has been highlighted as one of the causes of anxiety in Koreans' lives. Many attempts have been made to solve this problem; however, it is still difficult to secure the location information of the socially vulnerable in emergency situations and to precisely identify the features and clothing of criminals and track them using current image analysis technology. Therefore, the development of precision positioning technology and support services along with intelligent security service technology based on spatial information has been given a high priority. This study suggested measures that could be continuously applied to link technologies and services with high linkability by analyzing technologies based on spatial information and other fields. To establish measures for linkage between intelligent security technology and other technologies and services, this study analyzed the existing technologies and research trends in intelligent security technology, and reviewed linkable services according to five criteria established to evaluate their linkability. Based on this analysis, three technologies with high linkability were ultimately selected, and measures for linkage were established. It is expected that the linkage measures derived using the objective evaluation criteria will serve as a stepping stone for promoting active technology linkage and commercialization in the future, even after the completion of this study.