IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/682147.html
   My bibliography  Save this article

Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area

Author

Listed:
  • Peng Chen
  • Xiaofeng Ma
  • Shunying Zhu

Abstract

Evacuation behavior analysis is deemed to be one aspect of evacuation planning. However, existing studies have not discussed group evacuation decision-making in the face of disagreement among decision makers. In this paper, rough set theory is applied to analyze group evacuation decision-making in passenger transport hub area with various groups including kin, lover, friend, colleague, and classmate. In the approach, improved tabu search-based attribute reduction is proposed to find the minimal subset of attributes required to fully describe the information of group evacuation decision-making, and value reduction algorithm based on knowledge granulation is used to generate rules of group evacuation decision-making. Cross-validation procedure is adopted to estimate the performance of rough set theory. Experimental results indicate that rough set theory has favorable performance. Thus, the proposed approach provides a new way for evacuation behavior analysis.

Suggested Citation

  • Peng Chen & Xiaofeng Ma & Shunying Zhu, 2014. "Rough Set Approach for Group Evacuation Behavior Analysis in Passenger Transport Hub Area," Discrete Dynamics in Nature and Society, Hindawi, vol. 2014, pages 1-9, April.
    • Handle: RePEc:hin:jnddns:682147
    DOI: 10.1155/2014/682147
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2014/682147.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2014/682147.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2014/682147?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:jnddns:682147. 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.