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
This study aims to resolve library service blind spots in Daegu Metropolitan City by identifying candidate sites for unmanned book reservation and return machines through grid-based spatial analysis. Public libraries are essential facilities, but their supply is insufficient and unmanned systems offer a practical way to extend coverage. Previous studies have relied on macro-level analyses of administrative districts, which do not adequately capture micro-scale determinants. To address this limitation, this research applies a micro-level approach that divides service-deficient areas into grid cells and integrates variables such as residential population, floating population, and accessibility into each cell. Principal Component Analysis was used to summarize dominant patterns of existing service areas, showing a first component related to residential population and a second component linked to floating population and accessibility. Based on these results, K-means clustering classified service-deficient grids into four groups, and the cluster with high resident population, floating population, and public facility accessibility was identified as the top candidate site. By comparing PCA profiles of existing libraries with those of service-deficient grids, the analysis identified candidate locations reflecting new town development. This grid-based methodology complements conventional administrative-unit analyses and provides a practical tool to address service inequality in urban 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.
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UCI(KEPA) : I410-151-26-02-094558035
