Big data in construction industry: systematic literature overview

Author:

Verdenhofs Atis1,Geipele Ineta1,Tambovceva Tatjana1

Affiliation:

1. Institute of Civil Engineering and Real Estate Economics, Riga Technical University, Riga, Latvia

Abstract

Technological advancement has led to tremendous increase of data. Many industries utilize big data to become more efficient or even to create new products or services. Applications of big data in construction industry has been extensively researched in Asia that can be explained with huge construction volumes in the area. This study is aimed at identifying big data applications in construction industry in time period beyond 2016. Research object is construction industry, research subject is big data applications. Research methods used in this research are systematic literature overview and meta-analysis. Novelty of the research is classification of big data applications based on systematic literature overview. Authors conclude that existing categorization (Bilal et al., 2016b) can be applied to researches about big data applications in construction industry published in 2016 and later. However, potential for new applications is identified in category of emerging trends triggered by big data and authors propose to perform cross-industry analysis to identify solutions that can be adopted to construction industry.

Publisher

Vilnius Gediminas Technical University

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Overlapped Connected Dominating Set for Big Data Security;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

2. Big Data Technology in Construction Safety Management: Application Status, Trend and Challenge;Buildings;2022-04-22

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