도시환경 특성과 범죄발생의 연관성 분석- 도시 빅데이터와 공간더빈 모형을 활용하여

Analysis of the Association between Urban Environmental Characteristics and Crime Incidence - Using Urban Big Data and Spatial Durbin Model

초록

The environmental criminology theories indicate that urban environments are closelyrelated to crime incidences. However, existing studies on the relationships betweenurban environments and crime incidences show mixed results. This study examines therelationships between urban environments and crime incidence using spatial regressionmodels with comprehensive spatial big data such as Points-of-Interest (POI), Naverstreet view, civil complaints, and street network. The results of this study indicatedthat crime incidences are more likely to be associated with commercial POI facilities,POI diversity, and street network integration. In addition, crime incidences are closelyassociated with a higher number of civil complaints such as trash, noise, and illegalparking. In contrast, crime incidences are positively associated with a lower proportionof vegetation. Lastly, this study confirmed the spillover effects of vegetation and civilcomplaints on crime incidences. This study is helpful for urban design practices andurban policy to mitigate crime activities and promote urban safety monitoring theurban environment with accumulated urban big data.

키워드

도시환경환경범죄학딥러닝빅데이터공간더빈모형Urban EnvironmentEnvironmental CriminologyDeep LearningBig DataSpatial Durbin Model
제목
도시환경 특성과 범죄발생의 연관성 분석- 도시 빅데이터와 공간더빈 모형을 활용하여
제목 (타언어)
Analysis of the Association between Urban Environmental Characteristics and Crime Incidence - Using Urban Big Data and Spatial Durbin Model
저자
김선재조월이수기
DOI
10.38195/judik.2022.06.23.3.143
발행일
2022-06
저널명
도시설계
23
3
페이지
143 ~ 162