BIM for deconstruction: A review and bibliometric analysis

Building Information Modelling (BIM) can facilitate the effective planning of deconstruction and pave the way for digital deconstruction as part of sustainable buildings. However, studies on BIM have often overlooked deconstruction practices. This paper aims to review previously published articles,...

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Bibliographic Details
Published in:Journal of Building Engineering 2023-08, Vol.73, p.106683, Article 106683
Main Authors: Aziminezhad, Mohamadmahdi, Taherkhani, Roohollah
Format: Article
Language:English
Subjects:
Bibliometric analysis
BIM
BIMfD
Deconstruction
Literature review
VOSviewer
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Summary:Building Information Modelling (BIM) can facilitate the effective planning of deconstruction and pave the way for digital deconstruction as part of sustainable buildings. However, studies on BIM have often overlooked deconstruction practices. This paper aims to review previously published articles, provide an overview of research trends and investigate the challenges and opportunities related to BIM and deconstruction integration. Research trends, the status of literature publications, literature citation analysis, and keyword analysis are considered in the bibliometric analysis. The research indicates the number of studies related to BIM for Deconstruction (BIMfD) has been steadily expanding with a sudden increase after 2016. BIM, Life Cycle Assessment (LCA), and the construction industry are the main clusters and have been highlighted. Effective Design for Deconstruction (DfD), end-of-life (EoL) performance assessment, and waste minimization are the gaps and critical areas for future research. This study outlines a roadmap for future research focusing on BIM-Deconstruction integration. [Display omitted] •Bibliometric analysis is performed using VOSviewer.•A literature review of the past decade on the BIMfD integration is conducted.•The top countries, organizations, publications, authors, and articles on BIMfD are identified.•The research gaps and critical areas are presented, and future research trends are predicted.
ISSN:2352-7102
2352-7102
DOI:10.1016/j.jobe.2023.106683