Development of based on BIM data extraction and automation evaluation process for barrier-free certification

Population ageing and increasing diversity in building users have intensified the need for Barrier-Free (BF) certification. However, the growing complexity of buildings has made conventional two-dimensional drawing-based certification workflows inefficient due to limited spatial information and repetitive manual interpretation. This study proposes a BIM-based automated evaluation process for BF certification by structuring certification criteria into rule-based BIM data extraction and object classification logic. BF certification criteria were classified according to user characteristics, facility types, object conditions, spatial relations, and required attributes. Based on this framework, seven BIM-based evaluation methods were developed, including space search, object search, placement verification, presence checking, and attribute extraction. The proposed process was applied to a multi-story BIM model containing approximately 18,000 objects. As a result, 253 door-related objects associated with 68 spatial entities were evaluated within approximately 60 seconds, whereas equivalent manual review required approximately 7,590 seconds. These results confirm that BIM-based automation significantly improves efficiency and reduces omission risks in certification tasks, demonstrating its applicability to broader BIM-based compliance assessment.