BIM 기반 CPTED 인증평가를 위한 라이브러리 활용방안에 대한 연구

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.

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