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Holistic green BIM: a scientometrics and mixed review

Author(s):

Medium: journal article
Language(s): English
Published in: Engineering, Construction and Architectural Management, , n. 9, v. 28
Page(s): 2273-2299
DOI: 10.1108/ecam-05-2020-0377
Abstract:

Purpose

Despite the construction industry's significant impact on high energy use and a growing carbon footprint, technologies like Green BIM help to optimize natural resources, reduce pollution, use sustainable space and work on human comfort and health. But the trend in a holistic approach is minimal. Thus, the paper aimed to systematically investigate Green BIM research and implementation trends using a mixed-method and also show the prospects of holistic Green BIM implementation.

Design/methodology/approach

First, we conducted a Scientometrics analysis on the topic using the Scopus database for the time interval of (2013–present). Secondly, the Qualitative Content Review method asserted the Scientometrics analysis result. Lastly, exploratory research was done on secondary data to compare the AEC industry trend for a comprehensive view.

Findings

The merged findings confirmed the partial implementation of Green BIM and of which 43% of research focused only on energy analysis. Despite the potential of BIM and the interrelationship among green building parameters, the result showed other aspects of green building and sustainable design parameters as green material selection, sustainable site, waste management and water-use efficiency not comprised.

Originality/value

The authors propose a new conceptual framework for integrating green building parameters, BIM tools and green building assessment tools in a life cycle of a project that adds into the sustainability of the Architectural, Engineering and Construction sector. The study would help to provoke researchers, software developers and practitioners for further innovative effort in holistic Green BIM implementation.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/ecam-05-2020-0377.
  • About this
    data sheet
  • Reference-ID
    10577080
  • Published on:
    26/02/2021
  • Last updated on:
    29/11/2021
 
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