Volume 12 • Issue 2 • PP: 57–65 • 2026
An Automated Framework for Integrating Crime Prevention through Environmental Design into BIM-Based Security Validation
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Security validation in architectural design is commonly conducted through manual interpretation of drawings, expert walkthroughs, and late-stage design reviews. Such practice is valuable but difficult to reproduce, especially when crime-prevention criteria depend on visibility, access definition, territorial cues, and lighting quality. This paper presents an automated BIM-based framework for evaluating Crime Prevention through Environmental Design (CPTED) principles using semantic modelling, geometric reasoning, and rule-based inference. The proposed method transforms security-relevant BIM entities into a machine-readable CPTED knowledge layer, evaluates each space through formal rules, and produces interpretable scores that can guide design revision. The framework considers natural surveillance, access control, territoriality, and lighting as computationally linked design dimensions rather than independent checklist items. Results show that automated rule checking can reproduce expert assessment patterns while providing faster and more consistent space-level diagnosis. The paper contributes a transparent computational model for early-stage security validation and demonstrates how BIM can support evidence-based CPTED assessment before construction decisions become costly to revise.
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References
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