IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2017v4p90-95.html
   My bibliography  Save this article

A Bibliometric Review Of Building Information Modeling And Green In The Construction Industry

Author

Listed:
  • DANIEL LUIZ DE MATTOS NASCIMENTO

    (FLUMINENSE FEDERAL UNIVERSITY, BRAZIL)

  • RODRIGO GOYANNES GUSMÃO CAIADO

    (FLUMINENSE FEDERAL UNIVERSITY, BRAZIL)

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.

Suggested Citation

  • Daniel Luiz De Mattos Nascimento & Rodrigo Goyannes Gusmão Caiado, 2017. "A Bibliometric Review Of Building Information Modeling And Green In The Construction Industry," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 4, pages 90-95, August.
  • Handle: RePEc:cbu:jrnlec:y:2017:v:4:p:90-95
    as

    Download full text from publisher

    File URL: http://www.utgjiu.ro/revista/ec/pdf/2017-04/13_Caiado%202.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbu:jrnlec:y:2017:v:4:p:90-95. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ecobici Nicolae The email address of this maintainer does not seem to be valid anymore. Please ask Ecobici Nicolae to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.