A scientometric analysis and critical review of digital twin applications in project operation and maintenance

【Author】 Lu, Meiqi; Antwi-Afari, Maxwell Fordjour

【Source】ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT

【影响因子】3.850

【Abstract】Purpose - Recent emerging information technologies like digital twin (DT) provide new concepts and transform information management processes in the architecture, engineering and construction (AEC) industry. Although numerous articles are pertinent to DT applications, existing research areas and potential future directions related to the state-of-the-art DT in project operation and maintenance (O&M) are yet to be studied. Therefore, this paper aims to review the state-of-the-art research on DT applications in project O&M. Design/methodology/approach - The current review adopted four methodological steps, including literature search, literature selection, science mapping analysis and qualitative discussion to gain a deeper understanding of DT in project O&M. The impact and contribution of keywords and documents were examined from a total of 444 journal articles retrieved from the Scopus database. Findings - Five mainstream research topics were identified, including (1) DT-based artificial intelligence technology for project O&M, (2) DT-enabled smart city and sustainability, (3) DT applications for project asset management, (4) Blockchain-integrated DT for project O&M and (5) DT for advanced project management. Subsequently, research gaps and future research directions were proposed. Originality/value - This study intends to raise awareness of future research by summarizing the current DT development phases and their impact on DT implementation in project O&M among researchers and practitioners.

【Keywords】Digital twin; Information technologies; Project operation and maintenance; Scientometric; Construction industry

【发表时间】2024 2024 AUG 15

【收录时间】2024-08-20

【文献类型】综述

【主题类别】

区块链应用-虚拟经济-数字孪生