reviewHeliyonFeb 24, 2024GOLD OA

Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

Khulna University of Engineering and Technology · Patuakhali Science and Technology University

PubMed
Indexed incrossrefdoajpubmed

Abstract

The construction industry faces many challenges, including schedule and cost overruns, productivity constraints, and workforce shortages. Compared to other sectors, it lags in digitalization in every project phase. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative technologies revolutionizing the construction sector. However, a discernible gap persists in systematically categorizing the applications of these technologies throughout the various phases of the construction project life cycle. In response to this gap, this research aims to present a thorough assessment of the deployment of AI and ML across diverse phases in construction projects, with the ultimate goal of…

Citation impact

158
total citations
FWCI
37.83
Percentile
100%
References
144
Citations per year

Authors

5

Topics & keywords

Keywords
  • Software deployment
  • Transformative learning
  • Workforce
  • Engineering
  • Applications of artificial intelligence
  • Computer science
  • Engineering management
  • Artificial intelligence
UN Sustainable Development Goals
  • Industry, innovation and infrastructure
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