• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.317-326
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• 2010

Recently, in contemporary society, because of the international economic crisis and the increase of unemployment, there are dangerous crime elements that threaten the safety of citizen. The Safety from the crime is important as much as existence of need. Therefore, in order to make the safety of community, the government needs to make the best effort. In everyday life, crime is the fear of the target. Therefore, if the government can not solve the crime problem, the quality of citizen's life can not improve. In order to safety of community, this study is the one of the crime prevention diagnosis about shopping district and shopping mall. Also, this study can apply to the policy. If this study can apply to the policy, the safety of citizen's life will be protecting. The content of this study consist of introduction in chapter 1, theoretical consideration in chapter 2, foreign crime prevention diagnosis evaluation in chapter 3, crime prevention diagnosis in chapter 4 and conclusion in chapter 5.

• The Journal of the Korea Contents Association
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• v.10 no.2
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• pp.306-319
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• 2010

Recently, crime prevention is away of important criminal justice policy and police activity also pursuit different change compare to the present times. After modern times, as get to know crime control change, eventually on the basis of experience that crime prevention is best way of crime control, what come out with new sight angle for the role of police is community policing. And emphasis points in police activity are variety of police activity, positive entry of community. In relation to this, we are learning crime prevention of the U.S.A and the program of community policing through crime prevention theory books that published in domestic. Then, there are misunderstanding possibilities that the programs which introduced relation books are doing someways all around the U.S.A In this research two cities san mateo county. california, of the U.S.A made a choice, and is going to search main crime present condition of these cities and really done community policing program or crime prevention program operation case.

• The Korean Journal of Air & Space Law and Policy
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• v.24 no.1
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• pp.3-35
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• 2009

A concept of Aircraft crime includes an Air range, unlawful seizure of aircraft and unlawful acts against the safety of civil aviation. There are international treaties and conventions which have mainly been enacted by ICAO. The following treaties and conventions are categorical and unconditional norms that any States are clearly condemned. Convention on Offences and Certain other Acts Committed on Board Aircraft, Convention for the Suppression of Unlawful Seizure of Aircraft, Convention for the suppression of unlawful acts against the safety of civil aviation, Protocol for the Suppression of Unlawful Acts of Violence at Airports Serving International Civil Aviation, Convention on the Marking of Plastic Explosives for the Purpose of Detection In this essay, I present the meaning of the aircraft crime mentioned on the treaties above and jurisdiction of the crime. Moreover, I explain how to demand reparation for damages onboard or on the surface when an aircraft crime is occurred. Lastly, I indicate legal bases of how to protect the victims of the aircraft crime by mentioning specific cases relating to the crime.

• 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.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.99-105
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• 2023

In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.176-183
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• 2007

Our country is criticized that is gambling republic recently. It is shy, but do not refute through present actual conditions. Gambling had increased and generated much problems in our country. But, gambling permited socially. So, control system that do snow about gambling is insufficient. In the meantime, police's confrontation about gambling crime was not effective. Active confrontation about police's gambling crime must consist now. This research groped police's active confrontation way about gambling crime, police is improving crime information management system of gambling crime and utilize in investigation.

• KIEAE Journal
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• v.15 no.2
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• pp.69-78
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• 2015

Purpose: The aim of this study was to analyze the elementary schoolchildren's the fear of crime in pedestrian environment of elementary school for providing the basic design resource. Method:In order to deal with that, the questionnaire survey on the elementary schoolchildren's the fear of crime were conducted in 5 elementary schools in Ilsan new town. The results of the 293 questionnaires survey were analyzed through SPSS program. Result: The main results were as follows. The level of fear of crime in pedestrian environment differed in these 5 elementary schools because of the width of pedestrian path, the concealed place around pedestrian path, the nearness of park, the height/shape/interval of trees, the number of car and the closure-watching in the school caused by fence and trees and so on. The level of fear of crime in pedestrian environment differed between that of boy groups and that of girls groups because of the number of emergency bell/telephon, the shape of pedestrian path, the number of security office, the number of car and the concealed place around pedestrian path and so on.

• Journal of the Korean housing association
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• v.19 no.2
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• pp.73-82
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• 2008

The purpose of this paper is to analyze the correlation analysis between the experienced crime victimization rate and the evaluation indicator of residents' safety of outdoor spaces from crime in multi-family housing. Additionally this paper intend to analyze the correlation analysis between the residents' satisfaction about safety and the evaluation indicator of residents' safety of outdoor spaces. For that purpose, 9 Multi-Family Housing located in the metropolitan area were selected to perform a survey against 349 residents during May 26-29, 2006. The SPSS program was used and the level of satisfaction ranged from 1 to 5. Scale of 5 being most satisfied while 1 being most dissatisfied. The results of this study are the followings; 1) Most occurred crime were auto theft and damages, poster matter theft, housebreaking. 2) The crime rate is higher in outdoor than in indoor. 3) This study proved the correlation between the residents' satisfaction about housing safety and most indicators except the number of households etc. 4) By the results of the correlation coefficient it makes clear that the number of apartment building, the visibility of Green Space, the location of pedestrian etc. have relation with the residents' satisfaction about housing safety.

• Journal of The Korean Digital Architecture Interior Association
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• v.10 no.1
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• pp.57-63
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• 2010

This study examines the correlations of crime-prone locations with the urban space configuration in residential district. CPTED(Crime Prevention Through Environmental Design) is applied to this study and it is intended to control the architectural environment in order to restrain criminal activities. For this reason, an objective analysis for explaining the spatial characteristics of the places where the crimes have occurred is more important than statistical and descriptive approach for analyzing the criminal data. Visibility graph analysis (VGA) supports the CPTED theory in this study for objective interpretation of crime-prone locations and quantitative analysis for built environment. The comparative analysis on object streets and areas are used and the results are followings. The analysis by streets showed that street crimes are correlated with connectivity, control, integration, and integration(r=3) and burglary cases are correlated with control. The analysis by areas showed that street crimes are correlated with connectivity and integration. The T-tests results of crime area and whole area showed that street crimes are correlated with integration and burglary cases have negative correlation with connectivity. Several localized environmental design for crime prevention are also proposed on the basis of this study.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.64-80
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• 2018

In Korea, citizens can only know general information about crime. Thus it is difficult to know how much they are exposed to crime. If the police can predict the crime risky area, it will be possible to cope with the crime efficiently even though insufficient police and enforcement resources. However, there is no prediction system in Korea and the related researches are very much poor. From these backgrounds, the final goal of this study is to develop an automated crime prediction system. However, for the first step, we build a big data set which consists of local real crime information and urban physical or non-physical data. Then, we developed a crime prediction model through machine learning method. Finally, we assumed several possible scenarios and calculated the probability of crime and visualized the results in a map so as to increase the people's understanding. Among the factors affecting the crime occurrence revealed in previous and case studies, data was processed in the form of a big data for machine learning: real crime information, weather information (temperature, rainfall, wind speed, humidity, sunshine, insolation, snowfall, cloud cover) and local information (average building coverage, average floor area ratio, average building height, number of buildings, average appraised land value, average area of residential building, average number of ground floor). Among the supervised machine learning algorithms, the decision tree model, the random forest model, and the SVM model, which are known to be powerful and accurate in various fields were utilized to construct crime prevention model. As a result, decision tree model with the lowest RMSE was selected as an optimal prediction model. Based on this model, several scenarios were set for theft and violence cases which are the most frequent in the case city J, and the probability of crime was estimated by $250{\times}250m$ grid. As a result, we could find that the high crime risky area is occurring in three patterns in case city J. The probability of crime was divided into three classes and visualized in map by $250{\times}250m$ grid. Finally, we could develop a crime prediction model using machine learning algorithm and visualized the crime risky areas in a map which can recalculate the model and visualize the result simultaneously as time and urban conditions change.