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Research Status and Challenges of Data‐Driven Construction Project Management in the Big Data Context
Author(s) -
Yao Zhi Huang,
Qian Shi,
Jian Zuo,
Feniosky PeñaMora,
Jindao Chen
Publication year - 2021
Publication title -
advances in civil engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.379
H-Index - 25
eISSN - 1687-8094
pISSN - 1687-8086
DOI - 10.1155/2021/6674980
Subject(s) - big data , bridge (graph theory) , context (archaeology) , relation (database) , data science , process (computing) , computer science , data management , knowledge management , engineering management , engineering , database , data mining , medicine , paleontology , biology , operating system
The construction industry is facing a data tsunami, while emerging information technologies (IT) show great potential for the effective processing of these data or information. However, a comprehensive review for technological change, the resulting process, and organizational changes in the Big Data context, especially from the angle of whole lifecycle of construction project, is lacking. To fill the void, related works published in the databases of Web of Science, Science Direct, and American Society of Civil Engineers library are systematically reviewed. The general trend in emerging IT application in terms of construction project management (CPM) phases, technology and application, and research topics are revealed. Following this analysis, the particularized proposals in relation to each of the main topics within CPM is discussed. Furthermore, according to the advances and limitations of the current literature, corresponding future agendas such as the implementation of comprehensive data-driven CPM scenario are proposed to bridge the gaps between theoretical research and practical demands.

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