Big data in construction industry: systematic literature overview

The proceedings of the 13th international conference "Modern Building Materials, Structures and Techniques" (MBMST 2019) Pub Date : 2019-12-03 DOI:10.3846/mbmst.2019.062

Atis Verdenhofs, I. Geipele, T. Tambovceva

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引用次数: 2

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.

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建筑行业大数据:系统文献综述

技术的进步导致了数据的巨大增长。许多行业利用大数据来提高效率，甚至创造新产品或服务。大数据在建筑行业的应用在亚洲得到了广泛的研究，这可以用该地区巨大的建筑量来解释。本研究旨在确定2016年以后大数据在建筑行业的应用。研究对象为建筑业，研究课题为大数据应用。本研究采用的研究方法是系统文献综述和元分析。本研究的新颖之处在于基于系统文献综述的大数据应用分类。作者认为，现有的分类(Bilal et al.， 2016b)可以应用于2016年及以后发表的关于建筑行业大数据应用的研究。然而，在大数据引发的新兴趋势类别中确定了新应用的潜力，作者建议进行跨行业分析，以确定可用于建筑行业的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The proceedings of the 13th international conference "Modern Building Materials, Structures and Techniques" (MBMST 2019)

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