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| Panic Contagion and Intervention Strategy in Crowd Evacuation: From the Perspective of Complexity Science Management |
| XIE Kefan，SONG Yu，LIANG Benbu |
| Wuhan University of Technology, Wuhan, China |
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Abstract This study implements multi-agent simulation based on the Netlogo software by using a modified NW small world network to capture the pedestrian social structure. This study builds a modified social force model and a panic contagion model. Considering both without and with the intervention strategy in crowd evacuation, the panic contagion in the crowd and the evacuation effect are simulated to study the influence factor of panic spreading and the optimal intervention strategies. The results show that the effects of panic contagion depend on the network density, the position of panic source and panic emotion coefficient. The lower evacuation efficiency is with the higher average degree of network, panic source being far from exits, and the higher panic coefficient. Furthermore, three intervention strategies are proposed including motion intervention, scope intervention and volunteer intervention strategy.
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Received: 31 October 2018
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