IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i13p7761-d847837.html
   My bibliography  Save this article

The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance

Author

Listed:
  • Clyde Zhengdao Li

    (Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Zhenchao Guo

    (Sino-Australia Joint Research Center in BIM and Smart Construction, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China)

  • Dong Su

    (Key Laboratory for Resilient Infrastructures of Coastal Cities, Ministry of Education, Shenzhen University, Shenzhen 518060, China)

  • Bing Xiao

    (School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia)

  • Vivian W. Y. Tam

    (School of Engineering, Design and Built Environment, Western Sydney University, Penrith, NSW 2751, Australia)

Abstract

Information technologies have widely been used in the construction and maintenance of civil infrastructure. The advantages of information technologies provided a broader range of methods for infrastructure and enhanced its level of maintenance. However, a systematic summary of the research development of information technologies used in civil infrastructure is limited. This study aims to supplement this field by providing an objective, systematic summary of relevant literature in mainstream journals employing bibliometric retrieval and quantitative analysis from 2010 to 2020. The following results are obtained: (1) This study discusses the application of advanced information technologies in different phases and provides a critical analysis of the application of these existing information technologies, which includes wireless sensor networks (WSN), fiber optic sensing (FOS), building information modelling (BIM), radio frequency identification (RFID) and other advanced information technologies. (2) The digital twins can be used as tools for the planning and management of next-generation smart infrastructure, making the future of civil infrastructure smarter and more sustainable.

Suggested Citation

  • Clyde Zhengdao Li & Zhenchao Guo & Dong Su & Bing Xiao & Vivian W. Y. Tam, 2022. "The Application of Advanced Information Technologies in Civil Infrastructure Construction and Maintenance," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7761-:d:847837
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/13/7761/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/13/7761/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vincenzo Barrile & Antonino Fotia & Giovanni Leonardi & Raffaele Pucinotti, 2020. "Geomatics and Soft Computing Techniques for Infrastructural Monitoring," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    2. Fu Chen & Xiaoxiao Li & Yongjun Yang & Huping Hou & Gang-Jun Liu & Shaoliang Zhang, 2019. "Storing E-waste in Green Infrastructure to Reduce Perceived Value Loss through Landfill Siting and Landscaping: A Case Study in Nanjing, China," Sustainability, MDPI, vol. 11(7), pages 1-15, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dominik Sędzicki & Jan Cudzik & Wojciech Bonenberg & Lucyna Nyka, 2022. "Computer-Aided Automated Greenery Design—Towards a Green BIM," Sustainability, MDPI, vol. 14(14), pages 1-20, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mariano Gallo, 2019. "An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    2. Xiaoming Lei & Limin Sun & Ye Xia & Tiantao He, 2020. "Vibration-Based Seismic Damage States Evaluation for Regional Concrete Beam Bridges Using Random Forest Method," Sustainability, MDPI, vol. 12(12), pages 1-18, June.

    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:gam:jsusta:v:14:y:2022:i:13:p:7761-:d:847837. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.