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Building information modelling for construction productivity measurement

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dc.contributor.author Archchana, S
dc.contributor.author Pan, W
dc.date.accessioned 2023-08-09T03:42:35Z
dc.date.available 2023-08-09T03:42:35Z
dc.date.issued 2023-07-21
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21281
dc.description.abstract Productivity is a critical performance indicator of the construction industry, and thus warrants effective and efficient construction productivity measurement (CPM). Building information modelling (BIM), a digital representation of the building process, plays a significant role in effective and efficient CPM. Considering the high mandatory requirements for enhancement in construction productivity measurement, this paper aims to review the state-of-the-art literature on BIM-integrated CPM, to identify gaps in the existing body of knowledge and explore future research trends. The aim is achieved through a systematic literature review and bibliometric analysis where the data are retrieved from Web of Science, Scopus, and Google Scholar and proposes future research directions. In total 260 publications were identified from the initial search, and 56 were shortlisted for full-text analysis after several levels of screening including duplication, title and abstract checking. Finally, 21 were narrowed yielded for detailed review for this study. The results mapped the yearly publication trend, publications by source and the co-occurrence of terms. The findings help to identify a suite of BIM-integrated CPM methods used in the construction industry and provide a foundation for future research in CPM. A framework is developed to illustrate the knowledge gap and future directions identified in this study. Accordingly, the findings revealed that existing studies on utilising BIM for CPM are limited to only 3D and 4D BIM. Further, there is a lack of studies on the feasibility of using BIM for CPM, fully automated BIM integrated CPM tools and real-time CPM through BIM. en_US
dc.language.iso en en_US
dc.publisher Ceylon Institute of Builders - Sri Lanka en_US
dc.subject Building Information Modelling en_US
dc.subject Construction Productivity Measurement en_US
dc.subject Systematic Review en_US
dc.title Building information modelling for construction productivity measurement en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Architecture en_US
dc.identifier.department Department of Building Economics en_US
dc.identifier.year 2023 en_US
dc.identifier.conference World Construction Symposium - 2023 en_US
dc.identifier.place Sri Lanka en_US
dc.identifier.pgnos pp. 293-304 en_US
dc.identifier.proceeding 11th World Construction Symposium - 2023 en_US
dc.identifier.email archchu@connect.hku.hk en_US
dc.identifier.email wpan@hku.hk en_US
dc.identifier.doi https://doi.org/10.31705/WCS.2023.25 en_US


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  • WCS - 2023 [91]
    Proceedings of The 11th World Construction Symposium 2023

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