IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-15-3977-0_54.html
   My bibliography  Save this book chapter

BIM Research Progress in Chinese Construction Industry: Based on Chinese First-Tier Literature Statistical Analysis

In: Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Zhang Shang

    (Suzhou University of Science and Technology)

  • Liang Yehua

    (Suzhou University of Science and Technology)

  • Shane Galvin

    (University of South Wales)

Abstract

In recent years, building information modeling (BIM) has been the focus in the construction industry and an attractive topic in the construction management research field. However, no research concentrated on the analysis of the BIM research progress in Chinese industry on basis of quantitative statistical analysis of first-tire Chinese journal publications in the last decade. Based on the analysis of BIM papers published in Chinese first-tier journals from 2008 to 2017, this paper explores the research progress in terms of the change of number of publications, the research method adopted, stage in the life-cycle analyzed, and type of projects studied. It is found that in the 10 years’ period, the average growth rate of BIM journal papers is 63.84%, with 90.55% of them being published in the later 5 years. Case study is the most popular research method. There are more BIM papers concentrating on the analysis of construction and design stages, than on the analysis of life-cycle and operation stages. Building projects and railway projects are the most attractive projects to BIM researchers. The findings are valuable for the Chinese researchers to understand more clearly about the research trends of BIM topic in China and conduct research on this topic in the future.

Suggested Citation

  • Zhang Shang & Liang Yehua & Shane Galvin, 2021. "BIM Research Progress in Chinese Construction Industry: Based on Chinese First-Tier Literature Statistical Analysis," Springer Books, in: Fenjie Long & Sheng Zheng & Yuzhe Wu & Gangying Yang & Yan Yang (ed.), Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, pages 710-719, Springer.
  • Handle: RePEc:spr:sprchp:978-981-15-3977-0_54
    DOI: 10.1007/978-981-15-3977-0_54
    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:sprchp:978-981-15-3977-0_54. 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.