Construction digital twin: a taxonomy and analysis of the application-technology-data triad

Wahib Saif*, SeyedReza RazaviAlavi, Mohamad Kassem*

*Corresponding author for this work

    Research output: Contribution to journalReview articlepeer-review

    15 Citations (Scopus)
    36 Downloads (Pure)

    Abstract

    This paper addresses a main gap in the literature: the lack of a comprehensive taxonomy of Digital Twin (DT) applications for the construction phase, and the insufficient conceptualization of the interconnections between DT applications, technologies, and data. Through a systematic review and thematic coding of 112 papers, this paper presents a taxonomy of Digital Twin (DT) applications for construction sites, which includes seven application areas (1. Safety and risk management; 2. Progress monitoring and control; 3. Supply chain and logistics; 4. Quality control and assurance; 5. Data integration and management; 6. Construction robotics and automation; and 7. Sustainability and circular construction”) and 19 uses. The paper then identifies the interplays between each DT application, the five DT technological layers (i.e. sensing; communication; storage; analytics; and visualization), and the data utilized. These findings are crucial for developing DT solutions that effectively tackle the dynamic and complex nature of the construction phase.
    Original languageEnglish
    Article number105715
    Number of pages26
    JournalAutomation in Construction
    Volume167
    Early online date30 Aug 2024
    DOIs
    Publication statusPublished - 1 Nov 2024

    Keywords

    • digital twin
    • BIM
    • construction phase
    • taxonomy
    • systematic review
    • thematic coding
    • data analytics
    • Construction phase
    • Thematic coding
    • Taxonomy
    • Systematic review
    • Data analytics
    • Digital twin

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