Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context
Author(s): |
Yao Huang
Qian Shi Jian Zuo Feniosky Peña-Mora Jindao Chen |
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Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, January 2021, v. 2021 |
Page(s): | 1-19 |
DOI: | 10.1155/2021/6674980 |
Abstract: |
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. |
Copyright: | © 2021 Yao Huang et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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data sheet - Reference-ID
10602143 - Published on:
17/04/2021 - Last updated on:
02/06/2021