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Article

Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology

by 1,2, 1, 3,* and 4
1
College of Engineering, Ocean University of China, Qingdao 266100, China
2
Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
3
School of Computing, Engineering and Mathematics, Western Sydney University, Parramatta, NSW 2751, Australia
4
School of Architecture and Built Environment, Deakin University, Melbourne, VIC 3217, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Han Jong Jun
Sensors 2021, 21(4), 1353; https://doi.org/10.3390/s21041353
Received: 20 January 2021 / Revised: 4 February 2021 / Accepted: 10 February 2021 / Published: 14 February 2021
Predicting evacuation patterns is useful in emergency management situations such as an earthquake. To find out how pre-trained individuals interact with one another to achieve their own goal to reach the exit as fast as possible firstly, we investigated urban people’s evacuation behavior under earthquake disaster coditions, established crowd response rules in emergencies, and described the drill strategy and exit familiarity quantitatively through a cellular automata model. By setting different exit familiarity ratios, simulation experiments under different strategies were conducted to predict people’s reactions before an emergency. The corresponding simulation results indicated that the evacuees’ training level could affect a multi-exit zone’s evacuation pattern and clearance time. Their exit choice preferences may disrupt the exit options’ balance, leading to congestion in some of the exits. Secondly, due to people’s rejection of long distances, congestion, and unfamiliar exits, some people would hesitant about the evacuation direction during the evacuation process. This hesitation would also significantly reduce the overall evacuation efficiency. Finally, taking a community in Zhuhai City, China, as an example, put forward the best urban evacuation drill strategy. The quantitative relation between exit familiar level and evacuation efficiency was obtained. The final results showed that the optimized evacuation plan could improve evacuation’s overall efficiency through the self-organization effect. These studies may have some impact on predicting crowd behavior during evacuation and designing the evacuation plan. View Full-Text
Keywords: evacuation pattern; crowd dynamics; drill-trained; panic effect; exit choice evacuation pattern; crowd dynamics; drill-trained; panic effect; exit choice
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MDPI and ACS Style

Sun, H.; Hu, L.; Shou, W.; Wang, J. Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology. Sensors 2021, 21, 1353. https://doi.org/10.3390/s21041353

AMA Style

Sun H, Hu L, Shou W, Wang J. Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology. Sensors. 2021; 21(4):1353. https://doi.org/10.3390/s21041353

Chicago/Turabian Style

Sun, Hai, Lanling Hu, Wenchi Shou, and Jun Wang. 2021. "Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology" Sensors 21, no. 4: 1353. https://doi.org/10.3390/s21041353

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