IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-16-3587-8_77.html
   My bibliography  Save this book chapter

Quantitative Review of Cross-Regional Mega Infrastructure Operation and Maintenance Management Research

In: Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Lin Chen

    (Guangzhou University)

  • Qiting Guo

    (Guangzhou University)

  • Yuanxin Zhang

    (Guangzhou University)

  • Xiaolong Xue

    (Guangzhou University)

  • Zeyu Wang

    (Guangzhou University)

Abstract

While developing economies has built many mega infrastructure projects that begin to serve the public, developed economies are facing aged mega infrastructure systems, that need better maintenance and management. Many scholars have studied the mega infrastructure operation and maintenance (O&M) even though the majority mainly focused on construction management. There lacks a thorough review of the research in mega infrastructure O&M management. In order to gain an overview of the cross-regional mega infrastructure operation and maintenance management research and to identify the hotspots and the evolution of the state of the art between1992 and 2020, this study used bibliometric analysis and social network analysis through CiteSpace and VOS Viewer to analyzed and visualize the relevant literature data of Web of Science. This research used 646 bibliographic data from the core collection of Web of Science. The keyword co-occurrence network and co-citation network analyses showed the hot research topics, influential publications, and evolution trend in mega infrastructure O&M management. This research contributes to the body of knowledge and can guide scholars about popular research topics and emerging ones in the area.

Suggested Citation

  • Lin Chen & Qiting Guo & Yuanxin Zhang & Xiaolong Xue & Zeyu Wang, 2021. "Quantitative Review of Cross-Regional Mega Infrastructure Operation and Maintenance Management Research," Springer Books, in: Xinhai Lu & Zuo Zhang & Weisheng Lu & Yi Peng (ed.), Proceedings of the 25th International Symposium on Advancement of Construction Management and Real Estate, pages 1149-1162, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-3587-8_77
    DOI: 10.1007/978-981-16-3587-8_77
    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:978-981-16-3587-8_77. 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.