A BIBLIOMETRIC REVIEW OF BUILDING INFORMATION MODELING AND GREEN IN THE CONSTRUCTION INDUSTRY

Daniel Luiz de Mattos Nascimento and Rodrigo Goyannes Gusmão Caiado
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Daniel Luiz de Mattos Nascimento: FLUMINENSE FEDERAL UNIVERSITY, BRAZIL
Rodrigo Goyannes Gusmão Caiado: FLUMINENSE FEDERAL UNIVERSITY, BRAZIL

Annals - Economy Series, 2017, vol. 4, 90-95

Abstract: Nowadays, the Construction Industry has the need to integrate processes, technologies, and people to support strategic goals as well as achieving the sustainability. With this context, Building information modeling (BIM) based technologies are regarded as a potentially useful vehicle for helping project stakeholders to make the best use of the available design data for sustainable design and sustainability rating analysis in the AEC(architecture, engineering and construction) driving for green and sustainable building construction. The purpose of this paper is to critically review the synergisms between BIM and Green to achieve sustainable development in construction industry. The investigation is conducted by the methodology of systematic literature review (SLR) to finding synergisms between concepts, practices and metrics to sustainability. This work examines the compatibility of the green and BIM and its applications. The bibliometric results demonstrated increase publications of BIM and Green in the last 5 years, as well as Automation in Construction is the most frequently journal, US and UK had more papers published and the author Alwan have more publications in this area. The study has two major contributions. First, this paper investigates the integration between green and BIM in new avenue exploration to sustainable construction. Second, it supports and expands current literature, providing both academicians and practitioners a better panorama to understand the present status of proposed framework for achieving sustainability in construction industry.

Keywords: BIM; sustainable development; construction industry. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:cbu:jrnlec:y:2017:v:4:p:90-95

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