Work

Analyzing Barriers to BIM and AI Integration in Construction Management: A Mixed-Methods Approach

Year: 2026

Type: article

Abstract: Building information modeling (BIM) and artificial intelligence (AI), through their deep integration, are ushering in a new era for the construction industry. However, due to insufficient practical experience and exploration, construction companies still face significant challenges when adopting integrated BIM and AI technologies. This study aims to explore the integration of BIM and AI in depth by identifying and analyzing key barriers. Through systematic literature review and expert consultation, 16 major obstacles were identified. On this basis, a radial basis function neural network-enhanced weighted-influence non-linear gauge system (RBF-WINGS) model was constructed to calculate the weights of each barrier and deconstruct its non-linear interaction structure. The results indicate that data-related factors constitute the core category of barriers, while organizational culture and technological factors are the key secondary barriers. This study provides a theoretical basis for the development of China’s construction industry and serves as a decision-making reference for government departments.

Source: Buildings

DOI: 10.3390/buildings16132607

Authors: Lin Wang, Yuhang Jia, Yongshun Xu, Mengyuan Cheng, Cen-Ying Lee

Institutions: Jilin Jianzhu University, Hainan University, Xi'an University of Science and Technology, Bond University

Language: English

Topic: BIM and Construction Integration

Subfield: Building and Construction

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137