인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
DBpia Top 5%
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
초록·키워드
Purpose: In general, urban decline is caused by physical aging, population decline, and population aging. In order to promote the vitality of the declined region, Korea diagnoses the degree of urban decline through various indicators and provides the basis for selecting a target site for urban regeneration projects. Urban crime is known to be caused by defects in various socio-demographic and cultural factors from the perspective of Environmental Criminology. In particular, the crime problem in the original city center, which is accelerating urban decline, is an important task to be solved along with urban regeneration projects. Therefore, this study aims to analyze the characteristics of urban decline on crime-prone areas, and to empirically analyze whether the current legal urban decline index for selecting urban regeneration projects reflects urban problems such as crime-prone areas. Method: First, the spatial distribution characteristics of crime occurrence risk indicators are analyzed using spatial autocorrelation analysis for administrative districts in Seoul. Second, the characteristic factors of urban decline on crime-prone areas are analyzed using the spatial regression model. Result: As a result of this study, it was found that the characteristics of urban decline affecting the crime-prone area were the areas where the socially vulnerable lived and the areas where the declining small-scale food and lodging businesses were located. In addition, according to the legal standards, areas that met the criteria for urban decline indicators were found to have a negative (-) effect on the crime-prone area. This means that it is necessary to consider crime and safety factors in projects in urban regeneration areas.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.