Demonstrates automated accessibility compliance in building design, highlighting critical compliance barriers.
Contemporary Building Information Modeling (BIM) applications predominantly address generic building code verification, yet reliable systems for universal accessibility compliance remain underdeveloped, creating persistent barriers to inclusive design implementation. This study develops and validates a comprehensive BIM-integrated visual programming framework utilizing Autodesk Dynamo for automated accessibility compliance assessment according to Americans with Disabilities Act standards. The research employs a sequential mixed-methods approach encompassing systematic literature analysis of 22 compliance inefficiencies validated through expert survey (n = 48, Cronbach's α = 0.905). This is followed by visual programming framework development incorporating 978 integrated nodes across eight building element categories. Comprehensive validation through institutional building case study analysis completes the methodology. The automated system achieved 98.3% overall accuracy with 45.5-second processing time for 411 building elements, successfully identifying 83 compliance violations across doors (74.0% compliance), toilet facilities (66.7% compliance), parking spaces (84.4% compliance), and circulation elements. Statistical analysis using Relative Importance Index revealed cost consumption (RII = 0.801) and temporal inefficiency (RII = 0.786) as critical compliance barriers. The framework translates complex spatial relationship requirements into executable geometric algorithms, enabling practitioners without extensive programming expertise to conduct comprehensive accessibility evaluation during design phases rather than post-construction remediation. This study establishes foundational methodology for democratizing automated accessibility compliance verification, directly addressing the systematic exclusion of 1.3 billion persons with disabilities from built environments.
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Gul et al. (2026) studied this question.
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