International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
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  • Pages.293-302
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  • 2024
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  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Applications of Artificial Intelligence (AI) in Construction Project Management: A Systematic Literature Review

  • Prem Raj Timilsena (Department of Construction Management, Lyles College of Engineering, California State University) ;
  • Manideep Tummalapudi (Department of Construction Management, Lyles College of Engineering, California State University) ;
  • Bradley Hyatt (Department of Construction Management, Lyles College of Engineering, California State University) ;
  • Srikanth Bangaru (Construction Technology, Inn Circles Construction Technology Solutions) ;
  • Omobolanle Ogunseiju (School of Building Construction, College of Design, Georgia Tech)
  • Published : 2024.07.29
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Abstract

The rapid emergence of Artificial Intelligence (AI) across diverse sectors has also made its presence felt in the construction sector, where its adoption is gaining momentum at a remarkable pace. The anticipated impact of AI on decision-making processes pertinent to construction project management is considerable, necessitating a holistic understanding of AI's potential applications. As a first step towards that goal, this paper conducts a systematic literature review and in-depth content analysis of existing literature related to the applications of AI in the context of construction project management. The authors selected journal papers, technical papers, and conference proceedings published between 2010 and 2023 on the topic of Artificial Intelligence for construction project management applications. Additionally, the authors also reviewed several industry and trade publications in the same topic area. The search resulted in more than 200 relevant articles, after which the authors conducted a thorough content analysis. The results categorized applications of AI in construction project management across categories: construction productivity, construction safety, construction quality, construction document management, and construction site planning. Additionally, the review identified the current trends of AI applications in construction project management, advantages, and challenges to implementation. Understanding AI applications, advantages, and challenges to implementation helps contractors gain new insights into the efficient implementation of AI for various project management purposes.

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References

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