Research Status and Challenges of Data-Driven Construction Project Management in the Big Data Context

Author:

Huang Yao1ORCID,Shi Qian2ORCID,Zuo Jian3,Pena-Mora Feniosky4,Chen Jindao5

Affiliation:

1. School of Traffic & Transportation Engineering, Changsha University of Science & Technology, Changsha 410114, China

2. Department of Construction Management and Real Estate, Tongji University, Shanghai 200092, China

3. School of Architecture & Built Environment, The University of Adelaide, Adelaide 5001, Australia

4. Department of Civil Engineering and Engineering Mechanics, Columbia University, New York 10027, USA

5. School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Civil and Structural Engineering

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