Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (10): 1674-1684.doi: 10.23940/ijpe.20.10.p19.16741684

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Multi-Agent based Simulation Modelling for Passenger Flow Emergency Evacuation in Scenic Spots

Yingfei Zhanga, Gongpeng Zhangb,*, Ruixin Wangc, and XiaoBing Hud   

  1. aCollege of Economics and Management, Civil Aviation University of China, Tianjin, 300300, China;
    bCollaborative Innovation Center of eTourism, Beijing Union University, Beijing, 100101, China;
    cSino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjing, 300300, China;
    dCollege of Electronic Information and Automation, Civil Aviation University of China, Tianjin, 300300, China
  • Submitted on ; Revised on ; Accepted on
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  • About author:Yingfei Zhang is a graduate student of the School of Civil Aviation University of China. Her research interests include personnel evacuation and civil aviation safety.
    Gongpeng Zhang (Corresponding author, is an Associate Professor of Tourism College of Beijing Union University. His research interests include management science and engineering, and smart tourism.
    Ruixin Wang is a lecturer of the School of Civil Aviation University of China. His research interests include personnel evacuation.
    XiaoBing Hu is a professor of the School of Civil Aviation University of China. His research interests include complex network, artificial intelligence, air traffic management and integrated risk governance.

Abstract: It is an important issue in the management of scenic passengers to regulate passenger flow during peak hours, especially in emergency situations. Based on passenger flow, routing environment and control measures of a given scenic spot, we built a multi-agent model of the scenic spot. It is a simulation system that mainly consists of two multi-agent methods, i.e., the cellular automata model and ripple-spreading algorithm, and reflects the emergency evacuation of passenger flow in the scenic spot under emergent events. This paper uses a famous Chinese scenic spot, the Summer Palace in Beijing as a research case, and conducts an empirical research. The result shows that the reported simulation system can help to effectively assess the evacuation effect of purpose-designed regulation measures according to passenger distribution and road network characteristics. Thus, this simulation system can provide effective decision-making support to scenic spot managers.

Key words: scenic area, multi-agent, cellular automata, ripple-spreading algorithm, passenger flow, emergence evacuation