A bibliometric analysis and review of building information modelling for post-disaster reconstruction

Post-disaster reconstruction (PDR) is a dynamic, complex system that is chaotic in nature, and represents many challenges and issues. Recently, building information modelling (BIM) has been commonly utilized in the construction industry to solve complex and dynamic challenges. However, BIM has not b...

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Main Authors: Baarimah, A.O., Alaloul, W.S., Liew, M.S., Kartika, W., Al-Sharafi, M.A., Musarat, M.A., Alawag, A.M., Qureshi, A.H.
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Published: MDPI 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122007304&doi=10.3390%2fsu14010393&partnerID=40&md5=49166c5c90c54e97430d4127df28076e
http://eprints.utp.edu.my/33627/
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Institution: Universiti Teknologi Petronas
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spelling my.utp.eprints.336272022-09-07T08:28:30Z A bibliometric analysis and review of building information modelling for post-disaster reconstruction Baarimah, A.O. Alaloul, W.S. Liew, M.S. Kartika, W. Al-Sharafi, M.A. Musarat, M.A. Alawag, A.M. Qureshi, A.H. Post-disaster reconstruction (PDR) is a dynamic, complex system that is chaotic in nature, and represents many challenges and issues. Recently, building information modelling (BIM) has been commonly utilized in the construction industry to solve complex and dynamic challenges. However, BIM has not been thoroughly considered for managing PDR, and there is a lack of comprehensive scientometric analyses that objectively examine the trends in BIM applications in PDR. A literature search was performed considering studies published from 2010 to March 2021 using the Scopus database. A total of 75 relevant studies were found to meet the inclusion criteria. The collected literature was analyzed using VOSviewer through scientific journals, authors, keywords, citations, and countries. This is the first study in its vital significance and originality that aims to investigate the current states of research on BIM applications in PDR and provide suggestions for potential research directions. The findings showed that �Reconstruction� and �Safety Management� have emerged as mainstream research themes in this field and recently attracted scholars� interest, which could represent the directions of future research. Five major research domains associated with BIM were identified based on the most frequently used keywords, namely �Disasters�, �Earthquakes�, �HBIM�, �Damage Detection�, and �Life Cycle�. Moreover, a proposed conceptual framework of BIM adoption for PDR is provided. Accordingly, the outcomes of this study will help scholars and practitioners gain clear ideas of the present status and identify the directions of future research. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. MDPI 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122007304&doi=10.3390%2fsu14010393&partnerID=40&md5=49166c5c90c54e97430d4127df28076e Baarimah, A.O. and Alaloul, W.S. and Liew, M.S. and Kartika, W. and Al-Sharafi, M.A. and Musarat, M.A. and Alawag, A.M. and Qureshi, A.H. (2022) A bibliometric analysis and review of building information modelling for post-disaster reconstruction. Sustainability (Switzerland), 14 (1). http://eprints.utp.edu.my/33627/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Post-disaster reconstruction (PDR) is a dynamic, complex system that is chaotic in nature, and represents many challenges and issues. Recently, building information modelling (BIM) has been commonly utilized in the construction industry to solve complex and dynamic challenges. However, BIM has not been thoroughly considered for managing PDR, and there is a lack of comprehensive scientometric analyses that objectively examine the trends in BIM applications in PDR. A literature search was performed considering studies published from 2010 to March 2021 using the Scopus database. A total of 75 relevant studies were found to meet the inclusion criteria. The collected literature was analyzed using VOSviewer through scientific journals, authors, keywords, citations, and countries. This is the first study in its vital significance and originality that aims to investigate the current states of research on BIM applications in PDR and provide suggestions for potential research directions. The findings showed that �Reconstruction� and �Safety Management� have emerged as mainstream research themes in this field and recently attracted scholars� interest, which could represent the directions of future research. Five major research domains associated with BIM were identified based on the most frequently used keywords, namely �Disasters�, �Earthquakes�, �HBIM�, �Damage Detection�, and �Life Cycle�. Moreover, a proposed conceptual framework of BIM adoption for PDR is provided. Accordingly, the outcomes of this study will help scholars and practitioners gain clear ideas of the present status and identify the directions of future research. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
format Article
author Baarimah, A.O.
Alaloul, W.S.
Liew, M.S.
Kartika, W.
Al-Sharafi, M.A.
Musarat, M.A.
Alawag, A.M.
Qureshi, A.H.
spellingShingle Baarimah, A.O.
Alaloul, W.S.
Liew, M.S.
Kartika, W.
Al-Sharafi, M.A.
Musarat, M.A.
Alawag, A.M.
Qureshi, A.H.
A bibliometric analysis and review of building information modelling for post-disaster reconstruction
author_facet Baarimah, A.O.
Alaloul, W.S.
Liew, M.S.
Kartika, W.
Al-Sharafi, M.A.
Musarat, M.A.
Alawag, A.M.
Qureshi, A.H.
author_sort Baarimah, A.O.
title A bibliometric analysis and review of building information modelling for post-disaster reconstruction
title_short A bibliometric analysis and review of building information modelling for post-disaster reconstruction
title_full A bibliometric analysis and review of building information modelling for post-disaster reconstruction
title_fullStr A bibliometric analysis and review of building information modelling for post-disaster reconstruction
title_full_unstemmed A bibliometric analysis and review of building information modelling for post-disaster reconstruction
title_sort bibliometric analysis and review of building information modelling for post-disaster reconstruction
publisher MDPI
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122007304&doi=10.3390%2fsu14010393&partnerID=40&md5=49166c5c90c54e97430d4127df28076e
http://eprints.utp.edu.my/33627/
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