IDEAS home Printed from https://ideas.repec.org/a/hin/complx/3108327.html
   My bibliography  Save this article

Allocating Defense and Recovery Resources for Spatial Networks against Cascading Failures

Author

Listed:
  • Zhengcheng Dong
  • Meng Tian
  • Xuzhen Zhu

Abstract

This paper proposes the models of allocating defense and recovery resources for spatially embedded networks, respectively, both of which consider the length of links as the allocation cost. In the defense model, the amount of defense resources required for each zone depends on the total length of the links they contain. It is found that dispersed allocation performs better and that parameters that allow for a uniform distribution of link lengths produce better results. In the recovery model, a shortest link hierarchical recovery (HSR) strategy is proposed and proved to be more effective. In this strategy, the number of repaired links plays a decisive role in the recovery results, while the total length of the links does not seem to matter when the number is constant. In addition, a number of different parameters are adopted to validate the qualitative conclusions. These models might yield insights into studying and protecting spatial infrastructure systems.

Suggested Citation

  • Zhengcheng Dong & Meng Tian & Xuzhen Zhu, 2022. "Allocating Defense and Recovery Resources for Spatial Networks against Cascading Failures," Complexity, Hindawi, vol. 2022, pages 1-13, January.
  • Handle: RePEc:hin:complx:3108327
    DOI: 10.1155/2022/3108327
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/complexity/2022/3108327.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/complexity/2022/3108327.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/3108327?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:3108327. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.