IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/437428.html
   My bibliography  Save this article

A New Accident Analysis Method Based on Complex Network and Cascading Failure

Author

Listed:
  • Ziyan Luo
  • Keping Li
  • Xin Ma
  • Jin Zhou

Abstract

A new accident causation model is proposed for accident analysis based on the complex network theory. By employing the cascading failure scheme, a new accident investigation method is performed on the associated new model, by which we can reveal key causation factors and key causation factor chains that lead to the final accident. The efficiency of a network is introduced for evaluating the severity of the damage of the whole network and hence the severity of the accident if it happens. All these can provide the government or associations with recommendations for accident prediction and prevention.

Suggested Citation

  • Ziyan Luo & Keping Li & Xin Ma & Jin Zhou, 2013. "A New Accident Analysis Method Based on Complex Network and Cascading Failure," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-9, December.
    • Handle: RePEc:hin:jnddns:437428
    DOI: 10.1155/2013/437428
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2013/437428.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2013/437428.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2013/437428?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
    ---><---

    Citations

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


    Cited by:

    1. Zhang, Hengqi & Geng, Hua, 2023. "A methodology to identify and assess high-risk causes for electrical personal accidents based on directed weighted CN," Reliability Engineering and System Safety, Elsevier, vol. 231(C).

    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:jnddns:437428. 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.