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Determining the stationary digital twins implementation barriers for sustainable construction projects

Saeed Reza Mohandes (Department of Engineering Management, School of Engineering, The University of Manchester, Manchester, UK)
Atul Kumar Singh (Department of Civil Engineering, Dayananda Sagar College of Engineering, Bengaluru, India) (Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India)
Abdulwahed Fazeli (Department of Civil Engineering, Faculty of Engineering and Architectural Science, Toronto Metropolitan University, Toronto, Canada) (Department of Civil Engineering, Iran University of Science and Technology, Tehran, Iran)
Saeed Banihashemi (Faculty of Arts and Design, University of Canberra, Canberra, Australia)
Mehrdad Arashpour (Department of Civil Engineering, Monash University, Melbourne, Australia)
Clara Cheung (Department of Engineering Management, School of Engineering, The University of Manchester, Manchester, UK)
Obuks Ejohwomu (Department of Engineering Management, School of Engineering, The University of Manchester, Manchester, UK)
Tarek Zayed (Department of Building and Real Estate, Faculty of Construction and Environment, The Hong Kong Polytechnic University, Hong Kong, China)

Smart and Sustainable Built Environment

ISSN: 2046-6099

Article publication date: 9 May 2024

61

Abstract

Purpose

Previous research has demonstrated that Digital Twins (DT) are extensively employed to improve sustainable construction methods. Nonetheless, their uptake in numerous nations is still constrained. This study seeks to identify and examine the digital twin’s implementation barriers in construction building projects to augment operational performance and sustainability.

Design/methodology/approach

An iterative two-stage approach was adopted to explore the phenomena under investigation. General DT Implementation Barriers were first identified from extant literature and subsequently explored using primary questionnaire survey data from Hong Kong building industry professionals.

Findings

Survey results illustrated that Lack of methodologies and tools, Difficulty in ensuring a high level of performance in real-time communication, Impossibility of directly measuring all data relevant to the DT, need to share the DT among multiple application systems involving multiple stakeholders and Uncertainties in the quality and reliability of data are the main barriers for adopting digital twins' technology. Moreover, Ginni’s mean difference measure of dispersion showed that the stationary digital twin’s barriers adoption is needed to share the DT among multiple application systems involving multiple stakeholders.

Practical implications

The study’s findings offer valuable guidance to the construction industry. They help stakeholders adopt digital twins' technology, which, in turn, improves cost efficiency and sustainability. This adoption reduces project expenses and enhances environmental responsibility, providing companies a competitive edge in the industry.

Originality/value

This research rigorously explores barriers to Digital Twin (DT) implementation in the Hong Kong construction industry, employing a systematic approach that includes a comprehensive literature review, Ranking Analysis (RII) and Ginni’s coefficient of mean difference (GM). With a tailored focus on Hong Kong, the study aims to identify, analyze and provide novel insights into DT implementation challenges. Emphasizing practical relevance, the research bridges the gap between academic understanding and real-world application, offering actionable solutions for industry professionals, policymakers and researchers. This multifaceted contribution enhances the feasibility and success of DT implementation in construction projects within the Architecture, Engineering and Construction (AEC) sector.

Keywords

Acknowledgements

This research is financially supported by the Hong Kong Polytechnic University, under Project Number: 1-W15 K.

Citation

Mohandes, S.R., Singh, A.K., Fazeli, A., Banihashemi, S., Arashpour, M., Cheung, C., Ejohwomu, O. and Zayed, T. (2024), "Determining the stationary digital twins implementation barriers for sustainable construction projects", Smart and Sustainable Built Environment, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/SASBE-11-2023-0344

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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