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A Bibliometric Analysis and Review of Building Information Modelling for Post-Disaster Reconstruction

Author

Listed:
  • Abdullah O. Baarimah

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

  • Wesam Salah Alaloul

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

  • M. S. Liew

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

  • Widya Kartika

    (Civil Engineering Department, Universitas Janabadra, Yogyakarta 55231, Indonesia)

  • Mohammed A. Al-Sharafi

    (Department of Information Systems, Azman Hashim International Business School, Universiti Teknologi Malaysia, Skudai 81310, Johor, Malaysia)

  • Muhammad Ali Musarat

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

  • Aawag Mohsen Alawag

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

  • Abdul Hannan Qureshi

    (Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Perak, Malaysia)

Abstract

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.

Suggested Citation

  • Abdullah O. Baarimah & Wesam Salah Alaloul & M. S. Liew & Widya Kartika & Mohammed A. Al-Sharafi & Muhammad Ali Musarat & Aawag Mohsen Alawag & Abdul Hannan Qureshi, 2021. "A Bibliometric Analysis and Review of Building Information Modelling for Post-Disaster Reconstruction," Sustainability, MDPI, vol. 14(1), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2021:i:1:p:393-:d:714901
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    Citations

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    Cited by:

    1. Al-Baraa Abdulrahman Al-Mekhlafi & Idris Othman & Ahmed Farouk Kineber & Ahmad A. Mousa & Ahmad M. A. Zamil, 2022. "Modeling the Impact of Massive Open Online Courses (MOOC) Implementation Factors on Continuance Intention of Students: PLS-SEM Approach," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    2. Saleem S. AlSaleem & Ebrahim Al-Qadami & Hussein Zein Korany & Md. Shafiquzzaman & Husnain Haider & Amimul Ahsan & Mohammad Alresheedi & Abdullah AlGhafis & Abdulaziz AlHarbi, 2022. "Computational Fluid Dynamic Applications for Solar Stills Efficiency Assessment: A Review," Sustainability, MDPI, vol. 14(17), pages 1-32, August.

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