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    BIM/GIS data integration from the perspective of information flow

    Access Status
    Fulltext not available
    Authors
    Zhu, Junxiang
    Wu, Peng
    Date
    2022
    Type
    Journal Article
    
    Metadata
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    Citation
    Zhu, J. and Wu, P. 2022. BIM/GIS data integration from the perspective of information flow. Automation in Construction. 136: ARTN 104166.
    Source Title
    Automation in Construction
    DOI
    10.1016/j.autcon.2022.104166
    ISSN
    0926-5805
    Faculty
    Faculty of Humanities
    School
    School of Design and the Built Environment
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP180104026
    URI
    http://hdl.handle.net/20.500.11937/90016
    Collection
    • Curtin Research Publications
    Abstract

    Building Information Modelling (BIM) and Geographic Information System (GIS) can be integrated at application level and data level. This paper aims to provide a comprehensive, systematic review on data-level BIM/GIS integration from the perspective of information flow. Papers from academic journals, conference proceedings, and book chapters were collected and analysed. The main outcomes and findings of this review are as follows. (1) A unified framework that incorporates all data processing tasks for BIM/GIS data integration was developed. (2) Most problems regarding BIM-to-GIS data conversion have been solved, which enables application-level BIM/GIS integration, while those unsolved problems are mainly related to representation transformation and semantics mapping. (3) To ensure a fluent information flow, BIM models should be more reliable, the conversion paths should be more robust and efficient, and a more flexible data model on the GIS side is in need.

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