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Discrete Dynamics in Nature and Society
Volume 2014, Article ID 682147, 9 pages
Research Article

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

1School of Transportation, Wuhan University of Technology, Wuhan, Hubei 430063, China
2Engineering Research Center for Transportation Safety (Ministry of Education), Wuhan University of Technology, Wuhan, Hubei 430063, China

Received 3 November 2013; Revised 27 February 2014; Accepted 2 March 2014; Published 17 April 2014

Academic Editor: Huimin Niu

Copyright © 2014 Peng Chen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.