Artificial intelligence in infrastructure construction:A critical review  

作　　者：Ke CHEN Xiaojie ZHOU Zhikang BAO Mirosław Jan SKIBNIEWSKI Weili FANG 

机构地区：[1]National Center of Technology Innovation for Digital Construction,Huazhong University of Science and Technology,Wuhan 430074,China [2]School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan 430074,China [3]School of Energy,Geoscience,Infrastructure,and Society,Heriot-Watt University,EH144AS,Edinburgh,UK 3.Center of Excellence in Project Management,University of Maryland,College Park,MD 20742,USA [4]Center of Excellence in Project Management,University of Maryland,College Park,MD 20742,USA

出　　处：《Frontiers of Engineering Management》2025年第1期24-38,共15页工程管理前沿(英文版)

基　　金：National Key Research and Development Program(2022YFC3801700);National Natural Science Foundation of China(U21A20151).

摘　　要：Artificial intelligence(AI)has emerged as a promising technological solution for addressing critical infrastructure construction challenges,such as elevated accident rates,suboptimal productivity,and persistent labor shortages.This review aims to thoroughly analyze the contemporary landscape of AI applications in the infrastructure construction sector.We conducted both quantitative and qualitative analyses based on 594 and 91 selected papers,respectively.The results reveal that the primary focus of current AI research in this field centers on safety monitoring and control,as well as process management.Key technologies such as machine learning,computer vision,and natural language processing are prominent,with significant attention given to the develop-ment of smart construction sites.Our review also highlights several areas for future research,including broadening the scope of AI applications,exploring the potential of diverse AI technologies,and improving AI applications through standardized data sets and generative AI models.These directions are promising for further advancements in infrastructure construction,offering potential solutions to its significant challenges.

关 键 词：infrastructure construction artificial intelligence literature review quantitative analysis qualitative analysis 

分 类 号：O17[理学—数学]