Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (9): 1416-1423.doi: 10.23940/ijpe.20.09.p10.14161423

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A Paradigm of Intelligent Evacuation Route Decision for Metro Station Emergence based on Social Media

Yanlan Meia,b,*, Yicheng Yea,c, and Xudong Dengb   

  1. aSchool of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, 430081, China;
    bEvergrande School of Management, Wuhan University of Science and Technology, Wuhan, 430065, China;
    cIndustrial Safety Engineering Technology Research Center of Hubei Province, Wuhan, 430081, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: * E-mail address: meiyanlanlan@163.com
  • About author:Yanlan Mei (meiyanlanlan@163.com) is post-doctoral for School of Resource and Environmental Engineering at Wuhan University of Science and Technology. Her current research interests include emergency decision making, decision making theory and application, risk management.
    Yicheng Ye (yeyicheng@wust.edu.cn) is Professor for School of Resource and Environmental Engineering at Wuhan University of Science and Technology. His research focuses on risk management, safety engineering and science.
    Xudong Deng (dengxudong@wust.edu.cn) is Professor for School of Management at Wuhan University of Science and Technology. His current research interests include emergency decision making, emergency management.

Abstract: The effective evacuation route decision for metro stations is critical for maintaining operation safety and tackling emergency issues. The paper aims to study the intelligent evacuation route decision problem based on social media. The paradigm intelligent evacuation route decision of metro stations is put forward, including the intelligent preparedness, smart technical platform, professional personnel, and intelligent evacuation route. Then, the intelligent algorithms of evacuation route decisions for metro stations are selected, which includes artificial neural networks, fuzzy systems, and the genetic algorithm. Beside it, the comparative analysis of the intelligent algorithms are presented, which contributes to select the suit method to make an evacuation route decision of the metro station. Meanwhile, an application of Optics Valley Square Station is introduced. The results show that the evacuation routes of Optics Valley Square Station are not scientific, and advice to improve the evacuation routes are given.

Key words: metro station, intelligent evacuation, route decision paradigm, route decision algorithm, social media