A Research on the Utilization of IFC Data in the Evaluation Process of Universal Design

As global aging accelerates and multicultural populations grow, the demand for inclusive design to meet diverse user needs has increased, drawing significant attention to Universal Design in architecture. Traditional Universal Design evaluations based on 2D drawings face limitations in data review and require substantial labor. This study explores using 3D data and Building Information Modeling (BIM) for Universal Design evaluation, leveraging BIM's ability to store and extract architectural information programmatically. Focusing on Industry Foundation Classes (IFC), the standard BIM format, this study categorizes IFC data according to Universal Design guidelines and organizes it by user types, facility types, and locations. The findings demonstrate that IFC data enhances evaluation efficiency, reduces human error, and improves accuracy, promoting its broader application in architectural research such as automated design certification and performance analysis.