Holistic green BIM: a scientometrics and mixed review
Auteur(s): |
Zahra Abdulhadi Shukra
Ying Zhou |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Engineering, Construction and Architectural Management, mars 2021, n. 9, v. 28 |
Page(s): | 2273-2299 |
DOI: | 10.1108/ecam-05-2020-0377 |
Abstrait: |
PurposeDespite 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/approachFirst, 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. FindingsThe 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/valueThe 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. |
- Informations
sur cette fiche - Reference-ID
10577080 - Publié(e) le:
26.02.2021 - Modifié(e) le:
29.11.2021