Journal of Northeastern University(Natural Science) ›› 2021, Vol. 42 ›› Issue (11): 1656-1662.DOI: 10.12068/j.issn.1005-3026.2021.11.019

• Management Science • Previous Articles     Next Articles

Crowd Emergency Evacuation Model Based on Dynamic Emotion Drive

LI Jia-yang1, TANG Jia-fu1,2, GUO En-ming3   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110819, China; 2. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, China; 3. School of Computer Science and Engineering, Northeastern University, Shenyang 110619, China.
  • Revised:2021-02-08 Accepted:2021-02-08 Online:2021-11-19 Published:2021-11-19
  • Contact: LI Jia-yang
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Abstract: Aiming at the crowd dynamic behavior in emergency evacuation, emotion perception and infection mechanism are combined into behavior decision-making. Based on the susceptible-infectious-susceptible model (SIS model), emotion updating function is constructed in order to improve the dynamic field and transition probability of cellular automata. By analyzing the performance of the constructed model, it is verified that the emergency evacuation model conforms to the dynamic characteristics of crowd flow. Moreover, through simulation experiments, the effect of system parameters is analyzed on dynamic behavior switching, and the impacts of such parameters of dynamic behavior switching as emotional intensity threshold, infection coefficient, and calmness coefficient are explored. The results show that the individual emotional intensity threshold determines the individual final state of the system. The infection and calmness coefficients affect the rate of state change and evacuation time. This research provides a theoretical basis for the management of evacuated crowd.

Key words: emotion perception, evacuation model, dynamic behavior, SIS(susceptible-infectious-suseptible) model, cellular automata

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