IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-19-5256-2_9.html
   My bibliography  Save this book chapter

Science Mapping of BIM-Based Automated Compliance Checking Studies: A Bibliometric Approach

In: Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Shengqu Xu

    (Shenzhen University
    Shenzhen University)

  • Zhikun Ding

    (Shenzhen University
    Shenzhen University
    Key Laboratory for Resilient Infrastructures of Coastal Cities (Shenzhen University), Ministry of Education
    Shenzhen University)

  • Xinping Wen

    (Shenzhen University)

  • Zhan Wang

    (Shenzhen University
    Shenzhen University)

  • Zhiyu Zhang

    (Shenzhen University
    Shenzhen University)

Abstract

The traditional check of architectural design and building codes is based on the two-dimensional CAD drawing, which has the problems of diversified scale, labor-intensive, and low efficiency. Therefore, how to achieve automated compliance checking (ACC) has been a hotspot drawing more attention. However, a comprehensive literature review introducing the status quo of BIM- based ACC has yet to be conducted. To fill this gap, this paper aims to conduct a review based on the 359 related academic papers collected from “Web of science”. Based on science map software i.e. Citespace, insights are provided from the perspectives of co-citation analysis, co-occurrence analysis and cluster analysis. The results show that in the past 20 years, besides an increasing amount of paper published in this field, key research directions such as environmental assessment, construction safety, and data exchange are extremely important for the development of building information modeling (BIM) ACC research. Ontology and natural language processing (NLP) technology are the research hotspots and deserve more future research endeavors. These findings help to summarize the evolution of ACC and provide valuable theoretical and practical references for future research.

Suggested Citation

  • Shengqu Xu & Zhikun Ding & Xinping Wen & Zhan Wang & Zhiyu Zhang, 2022. "Science Mapping of BIM-Based Automated Compliance Checking Studies: A Bibliometric Approach," Lecture Notes in Operations Research, in: Hongling Guo & Dongping Fang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 26th International Symposium on Advancement of Construction Management and Real Estate, pages 96-108, Springer.
    • Handle: RePEc:spr:lnopch:978-981-19-5256-2_9
    DOI: 10.1007/978-981-19-5256-2_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:lnopch:978-981-19-5256-2_9. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.