• The Korean Journal of Applied Statistics
• /
• v.23 no.2
• /
• pp.335-344
• /
• 2010

Reliability of the estimation is usually damaged in the situation where a linear regression model without spatial dependencies is employed to the spatial data analysis. In this study, we considered the conditional autoregressive model in order to construct spatial association structures and estimate the parameters via the Bayesian approaches. Finally, we compared the performances of the models with spatial effects and the ones without spatial effects. We analyzed the yearly total crime count data measured from each of 25 districts in Seoul, South Korea in 2007.

• The Journal of the Korea Contents Association
• /
• v.15 no.10
• /
• pp.150-159
• /
• 2015

This study attempted to test the scale effect of MAUP, particularly focusing on the spatial autocorrelation of sex crime, correlations among neighborhood structural variables, and causal mechanism leading to sex crime. Analysis results of nation-wide Eup-Myon-Dong and Si-Gun-Gu data discovered that the spatial autocorrelation, correlations among independent variables, and determinant coefficient of multiple regression of Si-Gun-Gu level were generally bigger and stronger than those of Eup-Myon-Dong, which appeared to be due to the averaging effect. Regarding the causal effect to sex crime, two interesting results were found: First, the ratio of non-apartment residency lowered sex crime at both levels contrary to the hypothesis. Second, the ratio of food and lodging increased sex crime only at Eup-Myon-Dong level. These suggested that future research need to perform more detailed analyses dividing data into subsets such as urban vs. rural and/or economically advantaged vs. disadvantaged areas.

• Journal of Korean Society for Geospatial Information Science
• /
• v.25 no.1
• /
• pp.37-46
• /
• 2017

Recently, disaster caused by social factors is frequently occurring in Korea. Prediction about what crisis could happen is difficult, raising the citizen's concern. In this study, we developed a program to acquire tweet data by applying Python language based Tweepy plug-in, regarding social disasters such as 'Nonspecific motive crimes' and 'Oxy' products. These data were used to evaluate psychological trauma and anxiety of citizens through the text clustering analysis and the opinion mining analysis of the R Studio program after natural language processing. In the analysis of the 'Oxy' case, the accident of Sewol ferry, the continual sale of Oxy products of the Oxy had the highest similarity and 'Nonspecific motive crimes', the coping measures of the government against unexpected incidents such as the 'incident' of the screen door, the accident of Sewol ferry and 'Nonspecific motive crime' due to misogyny in Busan, had the highest similarity. In addition, the average index of the Citizens sentiment score in Nonspecific motive crimes was more negative than that in the Oxy case by 11.61%p. Therefore, it is expected that the findings will be utilized to predict the mental health of citizens to prevent future accidents.

• Korean Security Journal
• /
• no.51
• /
• pp.81-100
• /
• 2017

Recently, Crime patterns in our society are diversifying as followed on the urbanization of population and the influx of immgrants. Existing murder, kidnap, sexual assault, etc. Especially, the crimes such as school violence, dating violence, domestic violence, violent abuse and even social hatred a crime, motiveless crime are spreading into every phase of national life. Due to the social situation, the sharp increase in demand for personal protection, the scale of private security industry has been constantly expanded. Following this trend, the personal protective regulations in Security Industry Act has been revised several times since the it was enacted in 1995. However, despite the fact that the legal and institutional aspects should have been amended and improved systematically according to the industrial development, the regulations adopted initially adopted has been maintained so far, which have resulted in various problems as they could not coincide with the purpose of private security, being divorced from the reality of private security industry and social changes. Especially, in the case of personal protection service and facility security service, the legal requirements of both services are identical with each other in terms. Such legal systems may cause confusion to security businesses and employees, or the police managing and supervising them, regarding the scope and duties of security services. In order to improve such problems, the regulations of permission requirement that the personal protective regulations in Security Industry Act should be revised system. In this study, relevant personal protection provisions prescribed in the Security Industry Act have been reviewed critically in this paper. And also the regulations were review of those personal protection provisions enacted in security industry Act, so that the improvement plan for the personal protection provisions that are apposite to the cases in this country could be suggested in order to amend the current laws and provide real grounds for the law enforcement.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.95-102
• /
• 2023

This study aims to empirically verify the moderating effect of population drop on the relationship between demographic changes and crime decline in local cities facing population decline in Korea. The study employs changes in the population of young adults, men, elderly, foreign residents, and population movement as factors of demographic changes, including types of the city as a control variable in the research model. The rate of change in population drop is used as a moderator variable and the rate of change in crime decline as a dependent variable. Data are collected from 155 cities with declining populations from 2010 to 2022 through KOSIS, the National Statistics Portal, and information disclosure requests. Data collected are analyzed using moderated regression analysis. In the first and second stages of the analysis, they show that changes in the population of young adults, population movement, foreign people, population drop, and the type of city affect the change in crime. Moderated regression analysis shows that only the interaction terms among changes in the population of young adults, changes in population movement, and changes in the population of foreigners and the population drop affects change in crime significantly.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.2
• /
• pp.209-214
• /
• 2018

The subway, which is an urban railway, is the core of public transportation. Urban railways are always exposed to serious problems such as theft, crime and terrorism, as many passengers use them. Especially, due to the nature of urban railway environment, the scope of surveillance is widely dispersed and the range of surveillance target is rapidly increasing. Therefore, it is difficult to perform comprehensive management by passive surveillance like existing CCTV. In this paper, we propose the implementation, design method and object recognition algorithm for intelligent object recognition system in urban railway. The object recognition system that we propose is to analyze the camera images in the history and to recognize the situations where there are objects in the landing area and the waiting area that are not moving for more than a certain time. The proposed algorithm proved its effectiveness by showing detection rate of 100% for Selected area detection, 82% for detection in neglected object, and 94% for motionless object detection, compared with 84.62% object recognition rate using existing Kalman filter.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.474-484
• /
• 2019

In this age, where the social environment is changing rapidly and unpredictably, interest in safety from crime is increasing in Korean society. As the desire to live a life free from the fear of crime increases, interest in the construction of safe cities is also rising nationwide. To meet the national demand, the Korean government is promoting a project to link public disaster safety systems by involving municipalities, 112, 119, and other emergency services and institutions through the Smart City Integrated Platform in order to construct a smart safety net. This study investigates the linking of theSmart City Integrated Platform and theIntelligent Security Project. The results are as follows. 1. The linkage's objective is clear. 2. The system sector can provide information to accident-related organizations. 3. The scenario area can be expanded to a crime-prevention sector, and a long-term urban information integration infrastructure can be created. 4. Product testing is enabled by a smart city road map and through continuous consultation with relevant organizations. 5. Project diffusion to other local governments can be promoted with the continued addition of commercial products.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.24 no.1
• /
• pp.54-67
• /
• 2021

At present, CPTED projects are showing an effect such as reducing the anxiety of residents from crimes and improving the criminal environment about crimes through crime prevention. However, most of the CPTED programs have been implemented mainly to improve the physical environment without verifying systematically and empirically on the relationship between the program and improving the quality of life of residents and satisfaction level of residents etc. Accordingly, the objective of this study is to grope for a plan to apply CPTED to urban regeneration for improvement in the safety and life quality of residents using AHP and Visualizing The Mental Map. For this, We selected four case areas in Busan and then analyzed the dead zones of CPTED programs by visualizing the mental maps and heat maps of residents for case districts. As a result of evaluating the priority of CPTED program, installation of CCTVs and streetlights for prevention of crimes was found to be the most important elements. Result of analyzing mental map, the existing crime prevention facilities and CPTED programs were found to have resolved most of physical disorder. However, it showed that, for psychological factors which the residents feel such as social disorder, a number of dead zones exist.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.39 no.1
• /
• pp.29-40
• /
• 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.

• Electronics and Telecommunications Trends
• /
• v.29 no.2
• /
• pp.60-68
• /
• 2014

전 세계의 인구와 도시가 점점 증가함에 따라 매년 각종 범죄를 비롯한 사건사고와 가상이변, 홍수, 지진 등과 같은 자연재해가 증가하고 있다. 따라서 공공의 안전과 재난상황에서 구조를 위한 새로운 통신의 필요성이 급증하게 되었다. 모바일 광대역 공공안전(Public Safety) 통신은 여러 지역에서 다양한 사고와 재난이 발생하였을 때, 응급현장에서의 지시나 관리의 책임을 지는 기관에서 사용하는 전파통신을 의미한다. 이를 활용하면 더욱 효율적이고 체계적으로 공공의 안전을 위협하는 상황에 대한 대응능력을 향상시킬 수 있을 것으로 보인다. 따라서 관련 시장 역시 급격히 성장할 것으로 전망되고 있다. 본고에서는 모바일 광대역 공공안전 통신시장의 규모와 흐름을 살펴보고 공공안전과 재난구조 활동의 발전을 위한 무선통신망 구축의 방안에 대해 살펴보고자 한다.