| Title |
Analysis of the Nonlinear Relationship between Urban Environment and Fear of Crime - Focusing on CPTED Elements and Interpretable Machine Learning Model |
| Authors |
장연주(Jang, Yeon Joo) ; 이수기(Lee, Sugie) |
| DOI |
https://doi.org/10.38195/judik.2022.02.23.3.49 |
| Keywords |
범죄두려움; CPTED; 도시환경; 해석가능한 기계학습; 비선형 관계 Fear of Crime; CPTED; Urban Environment; Interpretable Machine Learning; Nonlinear Relationship |
| Abstract |
Fear of crime negatively affects the quality of life of daily activities, includingbasic living activities. Therefore, it is critical to understand the urban environmentthat causes fear of crime. This study analyzed the nonlinear relationship between theurban environment and fear of crime considering the Crime Prevention ThroughEnvironmental Design (CPTED) factors and derived policy implications for reducingfear of crime. As a result of the analysis, first, it was derived that maintenance andmanagement factors among CPTED factors are closely related to fear of crime. Second, this study showed that fear of crime had a nonlinear relationship with accesscontrol and natural monitoring. Also, it was confirmed that there was an appropriatethreshold range to alleviate the fear of crime. Third, this study showed that there wasa nonlinear relationship between the road network structure and fear of crime. Thehigher the centrality of the road network, the more negatively it was found to berelated to fear of crime. Finally, social capital factors such as social trust and socialparticipation could play essential roles in alleviating the fear of crime. |