인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
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.
피인용 0
초록·키워드
Purpose: This study views fire casualty occurrence in industrial parks not simply as a matter of distance to fire stations, but as an urban-architectural issue shaped by the combined effects of road network structure and industrial location conditions. Method: This study examined 1,468 building fire cases that occurred in 41 industrial parks in Busan, South Korea, in 2023. Using GIS, building characteristics, distance to the nearest fire station, and surrounding building density were constructed. Choice and Integration values were then calculated for 400 m, 800 m, and 1200 m radii using DepthmapX. Pearson correlation analysis and binary logistic regression analysis were subsequently conducted to examine the relationships among road network structure, building density, and fire casualty occurrence. Result: The results show that Integration was positively correlated with surrounding building density, indicating that industrial facilities tend to be concentrated around highly central road networks. Fire casualty occurrence showed the strongest correlation with nearby building density within a 50m radius, while building density and Integration were significant in the logistic regression analysis. These findings suggest that fire casualty occurrence in industrial parks is closely associated with the spatial concentration of buildings and industrial activities around central roads, rather than being explained solely by individual building characteristics or distance to fire stations.
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.
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