Big Data in Construction: Current Applications and Future Opportunities

Hafiz Suliman Munawar, Fahim Ullah, Siddra Qayyum*, Danish Shahzad

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

32 Citations (Scopus)
4 Downloads (Pure)

Abstract

Big data have become an integral part of various research fields due to the rapid advancements in the digital technologies available for dealing with data. The construction industry is no exception and has seen a spike in the data being generated due to the introduction of various digital disruptive technologies. However, despite the availability of data and the introduction of such technologies, the construction industry is lagging in harnessing big data. This paper critically explores literature published since 2010 to identify the data trends and how the construction industry can benefit from big data. The presence of tools such as computer-aided drawing (CAD) and building information modelling (BIM) provide a great opportunity for researchers in the construction industry to further improve how infrastructure can be developed, monitored, or improved in the future. The gaps in the existing research data have been explored and a detailed analysis was carried out to identify the different ways in which big data analysis and storage work in relevance to the construction industry. Big data engineering (BDE) and statistics are among the most crucial steps for integrating big data technology in construction. The results of this study suggest that while the existing research studies have set the stage for improving big data research, the integration of the associated digital technologies into the construction industry is not very clear. Among the future opportunities, big data research into construction safety, site management, heritage conservation, and project waste minimization and quality improvements are key areas.
Original languageEnglish
Article number18
Pages (from-to)1-27
Number of pages27
JournalBig Data and Cognitive Computing
Volume6
Issue number1
DOIs
Publication statusPublished - 6 Feb 2022
Externally publishedYes

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