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Big Data in the construction industry: A review of present status, opportunities, and future trends

Ajayi, Saheed O.; Oyedele, Lukumon O.; Akinade, Olugbenga O.; Oyedele, Lukumon; Bilal, Muhammad; Ajayi, Saheed; Qadir, Junaid; Akinade, Olugbenga; Munir, Kamran; Owolabi, Hakeem A.; Alaka, Hafiz A.; Pasha, Maruf

Authors

Saheed O. Ajayi

Lukumon O. Oyedele

Olugbenga O. Akinade

Muhammad Bilal

Saheed Ajayi saheed.ajayi@uwe.ac.uk

Junaid Qadir

Olugbenga Akinade Olugbenga.Akinade@uwe.ac.uk
Associate Professor - AR/VR Development with Artificial Intelligence

Kamran Munir Kamran2.Munir@uwe.ac.uk
Associate Professor in Data Science

Hakeem Owolabi Hakeem.Owolabi@uwe.ac.uk
Associate Professor - Project Analytics and Digital Enterprise

Hafiz A. Alaka

Maruf Pasha



Abstract

© 2016 Elsevier Ltd The ability to process large amounts of data and to extract useful insights from data has revolutionised society. This phenomenon—dubbed as Big Data—has applications for a wide assortment of industries, including the construction industry. The construction industry already deals with large volumes of heterogeneous data; which is expected to increase exponentially as technologies such as sensor networks and the Internet of Things are commoditised. In this paper, we present a detailed survey of the literature, investigating the application of Big Data techniques in the construction industry. We reviewed related works published in the databases of American Association of Civil Engineers (ASCE), Institute of Electrical and Electronics Engineers (IEEE), Association of Computing Machinery (ACM), and Elsevier Science Direct Digital Library. While the application of data analytics in the construction industry is not new, the adoption of Big Data technologies in this industry remains at a nascent stage and lags the broad uptake of these technologies in other fields. To the best of our knowledge, there is currently no comprehensive survey of Big Data techniques in the context of the construction industry. This paper fills the void and presents a wide-ranging interdisciplinary review of literature of fields such as statistics, data mining and warehousing, machine learning, and Big Data Analytics in the context of the construction industry. We discuss the current state of adoption of Big Data in the construction industry and discuss the future potential of such technologies across the multiple domain-specific sub-areas of the construction industry. We also propose open issues and directions for future work along with potential pitfalls associated with Big Data adoption in the industry.

Journal Article Type Review
Publication Date Aug 1, 2016
Journal Advanced Engineering Informatics
Print ISSN 1474-0346
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 30
Issue 3
Pages 500-521
APA6 Citation Akinade, O. O., Ajayi, S. O., Oyedele, L. O., Bilal, M., Oyedele, L., Qadir, J., …Pasha, M. (2016). Big Data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics, 30(3), 500-521. https://doi.org/10.1016/j.aei.2016.07.001
DOI https://doi.org/10.1016/j.aei.2016.07.001
Keywords big data engineering, big data analytics, construction industry, machine learning
Publisher URL http://dx.doi.org/10.1016/j.aei.2016.07.001

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