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Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology
- Source :
- Sensors, Volume 21, Issue 4, Sensors (Basel, Switzerland), Sensors, Vol 21, Iss 1353, p 1353 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- 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.
- Subjects :
- Crowd dynamics
China
Relation (database)
Operations research
Process (engineering)
0211 other engineering and technologies
Disaster Planning
02 engineering and technology
lcsh:Chemical technology
Biochemistry
Article
Analytical Chemistry
021105 building & construction
Earthquakes
Humans
lcsh:TP1-1185
Electrical and Electronic Engineering
Crowd psychology
Instrumentation
021110 strategic, defence & security studies
Drill
Emergency management
business.industry
Multi-agent system
drill-trained
exit choice
evacuation pattern
Atomic and Molecular Physics, and Optics
Crowding
panic effect
Geographic Information Systems
crowd dynamics
Emergencies
business
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Database :
- OpenAIRE
- Journal :
- Sensors
- Accession number :
- edsair.doi.dedup.....9db71782d00ada2e1824ce67f68dd226
- Full Text :
- https://doi.org/10.3390/s21041353