범죄발생과 범죄두려움 공간분석을 통한 안전도시 조성 연구 = (A) study on making safe city based on spatial analysis of crime occurrence and fear on crime

다국어 초록 (Multilingual Abstract)

As for crime, the crime prevention is more important than a measure following crime occurrence. However, the analysis on the whole city can provide merely the general trend of crime occurrence, but doesn’t help so much to establish a specific strategy for crime prevention on real crime spot. Accordingly, this study aimed to contribute to bringing forward making safe city from crime by dividing urban space into block size, analyzing crime occurrence·Fear of crime characteristics within the micro spatial scope, finding out influential factors of crime occurrence·Fear of crime and seeking improvement plan. Although there might be diverse approaches in improvement plan of urban space, this study approached from the direction of improving physical environment of urban space.
It carried out analysis of hotspot with crime occurrence in the local dimension based on crime data for 2008 and 2011 in a case city. Also, the aim was to specifically clarify environmental factors on crime occurrence through analyzing crime occurrence characteristics by place. Synthesizing the analytical results, the crime occurrence was indicated similarly in hotspot region for the year in 2008 and 2011. The densely crime hotspot were found centering on commercial area. As a result of carrying out spatial autocorrelation analysis targeting some regions that are concentrated the phenomenon of crime hotspot out of commercial area, the hotspot and cold spot could be found out by block.
next, For gathering regional crime data we developed "Online Participation System for Crime Prevention(OPSCP)" using a case study of the J city, Korea. OPSCP is designed for users to upload any regional criminal activities with a spot of witness and describe details or the areas of concern on the map. Then the spots of fear of crime and real crime in 2008 were compared and analyzed.
In the analysis of crime·Fear of crime data in a case city, the analysis of spatial autocorrelation was carried out targeting commercial area. As a result, hotspot and coldspot could be found in crime occurrence·Fear of crime by block. Next, spatial regression analysis was performed with variables extracted from the previous studies and CPTED guidelines to investigate factors influencing crime occurrences. However SEM model is analyzed to be the best model to explain the factors. As a result, factors representing physical characteristics and forms of various urban spaces influence crime occurrence·Fear of crime. Accordingly, the space with frequent crime occurrence·Fear of crime implies to be possibly reduced and minimized by improving urban environment and land-use planning or urban design. Hence, there is a need of a differentiated crime prevention strategy, which reflects local characteristics.
Finally, this study aimed to analyze the time-series hotspot of crime based on real data of crime rate and to discover physical environmental characteristics of crime occurrence·Fear of crime by block. There is a significance in a sense of having possibly suggested information that is helpful for preventing crime with improvement in physical urban environment in consideration of local conditions.

목차 (Table of Contents)

• Ⅰ. 서론 1
• 1. 연구의 배경 및 목적 1
• 2. 연구의 방법 및 흐름 4
• Ⅱ. 이론적 고찰 6
• 1. 관련 이론적 검토 6
• 2. 관련 선행연구 검토 35
• Ⅲ. 범죄발생 공간 패턴분석 52
• 1. 범죄발생 자료 구축 52
• 2. 범죄발생 공간 패턴분석 결과 67
• 3. 범죄발생 공간의 물리적 환경특성 76
• Ⅳ. 범죄두려움 공간 패턴분석 81
• 1. 범죄두려움 자료 구축 81
• 2. 범죄두려움 공간 패턴분석 결과 90
• 3. 범죄두려움 공간의 물리적 환경특성 97
• Ⅴ. 범죄발생과 범죄두려움 공간적 관계 분석과 안전도시 조성방안 113
• 1. 범죄발생과 범죄두려움 공간적 자기상관 분석 113
• 2. 범죄발생과 범죄두려움 도시 환경적 영향요인 분석 117
• 3. 종합분석 및 안전도시 조성 방안 125
• Ⅵ. 결론 127
• 참 고 문 헌 130