성과공개
성과공개
상세 정보
상세 정보
논문
BIM 기반 CPTED 인증평가를 위한 라이브러리 활용방안에 대한 연구
연도
5차
분류
구성기술3
연구기관
한양대학교
Hanyang University ERICA Industry-Academic Cooperation Foundation
Hanyang University ERICA Industry-Academic Cooperation Foundation
구분2
일반학술지
논문명
BIM 기반 CPTED 인증평가를 위한 라이브러리 활용방안에 대한 연구
A Case Study on the Application of Digital-Twin to Small-size
A Case Study on the Application of Digital-Twin to Small-size
학술지명
한국BIM학회
ISSN
2288-1697
학술지 볼륨번호
15(3)
게재일
논문페이지
주저자명
유은상
EunSang Yu
EunSang Yu
교신저자명
최중식
JungSik Choi
JungSik Choi
공동저자명
안용한
Yonghan Ahn
Yonghan Ahn
논문 초록
This Research proposes a BIM-based methodology to support automated evaluation for CPTED (Crime Prevention Through Environmental Design) certification. Traditional certification methods rely heavily on manual reviews of 2D drawings, which often result in subjective judgments and a lack of design-stage feedback. To address these limitations, this research develops a structured evaluation framework that maps CPTED criteria to specific BIM object attributes using a predefined library. Key evaluation factors―including territoriality, surveillance, access control, and lighting―are linked to BIM elements such as walls, fences, doors, lighting fixtures, cameras, and signage. Each object’s parameters, including material, height, visibility, and placement, are used to automate the assessment process based on attribute rules and spatial data. The study also defines a library structure for these elements, enabling consistent use across various building types. Through this structured connection between BIM data and CPTED principles, the system can provide designers with immediate feedback and minimize the need for post-design modifications. Furthermore, the framework facilitates compatibility with other certification systems and enables scenario-based simulation in early design stages. This research demonstrates that BIM libraries, when structured with evaluation-relevant properties, can significantly improve the efficiency, reliability, and objectivity of CPTED certification. The proposed methodology forms a foundation for future development of fully automated certification support systems in the architectural domain.