TY  - JOUR
Y1  - 2022///
PB  - MDPI
SN  - 20711050
JF  - Sustainability (Switzerland)
A1  - Baarimah, A.O.
A1  - Alaloul, W.S.
A1  - Liew, M.S.
A1  - Kartika, W.
A1  - Al-Sharafi, M.A.
A1  - Musarat, M.A.
A1  - Alawag, A.M.
A1  - Qureshi, A.H.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122007304&doi=10.3390%2fsu14010393&partnerID=40&md5=49166c5c90c54e97430d4127df28076e
VL  - 14
AV  - none
N2  - 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 â??Reconstructionâ?? and â??Safety Managementâ?? have emerged as mainstream research themes in this field and recently attracted scholarsâ?? 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 â??Disastersâ??, â??Earthquakesâ??, â??HBIMâ??, â??Damage Detectionâ??, and â??Life Cycleâ??. 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.
IS  - 1
N1  - cited By 25
TI  - A bibliometric analysis and review of building information modelling for post-disaster reconstruction
ID  - scholars17801
KW  - conceptual framework; construction industry; detection method; modeling; reconstruction
ER  -