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A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry

Amirreza Rashidi (Department of Civil Engineering, Islamic Azad University, Karaj Branch, Karaj, Iran)
Hadi Sarvari (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)
Daniel W.M. Chan (Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, China)
Timothy O. Olawumi (School of Computing, Engineering and Built Environment, Edinburgh Napier University, Edinburgh, UK)
David J. Edwards (School of Engineering and the Built Environment, Birmingham City University, Birmingham, UK) (Faculty of Engineering and the Built Environment, University of Johannesburg – Doornfontein Campus, Doornfontein, South Africa)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 23 August 2024

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Abstract

Purpose

This study provides a comprehensive analysis of the transition from Building Information Modelling (BIM) to digital twins (DT) in the construction industry. Specifically, the research explores the current state (themes and trends) and future directions of this emerging research domain.

Design/methodology/approach

A multi-stage approach was employed that combines scientometric and systematic review approaches. The scientometric analysis involves quantitative assessment of scientific publications retrieved from the Web of Science database – using software tools like VOSviewer and HistCite. The systematic review involved a rigorous synthesis and evaluation of the existing literature to identify research gaps, themes, clusters and future directions. Clusters obtained from the scientometric analysis of the co-occurrence network were then used as a subject base for a systematic study.

Findings

Emergent findings reveal a rapidly growing interest in BIM-DT integration, with over 90% of publications since 2020. The United Kingdom, China and Italy are the leading contributing countries. Five prominent research clusters identified are: (1) Construction 4.0 technologies; (2) smart cities and urban environments; (3) heritage BIM and laser scanning; (4) asset and facility management; and (5) energy and sustainability. The study highlights the potential of BIM-DT integration for enhancing project delivery, asset management and sustainability practices in the built environment. Moreover, the project’s life cycle operation phase has garnered the most attention from researchers in this field compared to other phases.

Originality/value

This unique study is comprehensive in its approach by combining scientometric and systematic methods to provide a quantitative and qualitative evaluation of the BIM-DT research landscape. Unlike previous reviews that focused solely on facility management, this study’s scope covers the entire construction sector. By identifying research gaps, challenges and future directions, this study establishes a solid foundation for researchers exploring this emerging field and envisions the future landscape of BIM-DT integration in the built environment.

Keywords

Acknowledgements

The project leading to the publication of this manuscript was fully funded by the Postdoctoral Matching Fund Scheme 2020/21 (4th Round) under the auspice of the Department of Building and Real Estate, The Hong Kong Polytechnic University, Hong Kong, Project Account Code: 1-W18W.

Citation

Rashidi, A., Sarvari, H., Chan, D.W.M., Olawumi, T.O. and Edwards, D.J. (2024), "A systematic taxonomic review of the application of BIM and digital twins technologies in the construction industry", Engineering, Construction and Architectural Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ECAM-02-2024-0239

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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