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Open AccessArticle

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

1
School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
2
School of Management, Wuhan University of Technology, Wuhan 430070, China
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(2), 546; https://doi.org/10.3390/su12020546
Received: 9 December 2019 / Revised: 3 January 2020 / Accepted: 7 January 2020 / Published: 10 January 2020
(This article belongs to the Special Issue Urban Disaster Risk Reduction)
The frequent occurrence of urban waterlogging constantly affects cities’ stability, bringing about a lot of economic losses and casualties. Coupled with the deficient rescue activities, waterlogging often exacerbates the impact of urban rainstorm disasters. By setting up a diverse distribution of shelters and various types of pedestrians, the evacuation route choice of pedestrians in an urban rainstorm disaster is simulated and analyzed through multi-agent system simulation. Then, clustering analysis is applied to discover population characteristics in different survival scenarios. The simulations for sustainable rescue after pedestrians reach the shelters are also carried out. It was found that the pedestrians’ herd mentality and the distribution of shelters have a significant impact on the success rate of post-disaster evacuation. The results could help pedestrians to make decisions in the evacuation. The wide scope of the shelters’ allocation facilitates the effect of disaster relief. View Full-Text
Keywords: urban rainstorm; multi-agent system; route selection; scenario simulation; risk evolution urban rainstorm; multi-agent system; route selection; scenario simulation; risk evolution
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Yang, Q.; Sun, Y.; Liu, X.; Wang, J. MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China. Sustainability 2020, 12, 546.

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