Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies

Ayaz Ahmad Khan; Abdulkabir Opeyemi Bello; Mohammad Arqam; Fahim Ullah

doi:10.3390/technologies12100185

journal article Open Access Oct 02, 2024

Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies

Ayaz Ahmad Khan Abdulkabir Opeyemi Bello

Mohammad Arqam

Fahim Ullah

Technologies Vol. 12 No. 10 pp. 185 · MDPI AG

View at Publisher Save 10.3390/technologies12100185

Abstract

Artificial intelligence (AI), including machine learning and decision support systems, can deploy complex algorithms to learn sufficiently from the large corpus of building information modelling (BIM) data. An integrated BIM-AI system can leverage the insights to make smart and informed decisions. Hence, the integration of BIM-AI offers vast opportunities to extend the possibilities of innovations in the design and construction of projects. However, this synergy suffers unprecedented challenges. This study conducted a systematic literature review of the challenges and constraints to BIM-AI integration in the construction industry and categorise them into different taxonomies. It used 64 articles, retrieved from the Scopus database using the PRISMA protocol, that were published between 2015 and July 2024. The findings revealed thirty-nine (39) challenges clustered into six taxonomies: technical, knowledge, data, organisational, managerial, and financial. The mean index score analysis revealed financial (µ = 30.50) challenges are the most significant, followed by organisational (µ = 23.86), and technical (µ = 22.29) challenges. Using Pareto analysis, the study highlighted the twenty (20) most important BIM-AI integration challenges. The study further developed strategic mitigation maps containing strategies and targeted interventions to address the identified challenges to the BIM-AI integration. The findings provide insights into the competing issues stifling BIM-AI integration in construction and provide targeted interventions to improve synergy.

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Details

Published: Oct 02, 2024
Vol/Issue: 12(10)
Pages: 185
License: View

Authors

A

Ayaz Ahmad Khan

UniSA Creative, University of South Australia, City West Campus, Adelaide, SA 5000, Australia; IVE: Australian Research Centre for Interactive and Virtual Environments, Mawson Lakes Campus, Adelaide, SA 5095, Australia

A

Abdulkabir Opeyemi Bello

Department of Building, Federal University of Technology, P.M.B 65, Minna 920101, Nigeria; Department of Building Technology, SAF Polytechnic, Iseyin 211101, Nigeria

M

Mohammad Arqam

School of Mechanical and Mechatronic Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia

F

Fahim Ullah

School of Surveying and Built Environment, University of Southern Queensland, Springfield Campus, Ipswich, QLD 4300, Australia

Cite This Article

Ayaz Ahmad Khan, Abdulkabir Opeyemi Bello, Mohammad Arqam, et al. (2024). Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies. Technologies, 12(10), 185. https://doi.org/10.3390/technologies12100185

Integrating Building Information Modelling and Artificial Intelligence in Construction Projects: A Review of Challenges and Mitigation Strategies

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