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Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters

Author

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  • Ștefan Ionescu

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

  • Ionuț Nica

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

  • Nora Chiriță

    (Department of Economic Informatics and Cybernetics, Bucharest University of Economic Studies, 0105552 Bucharest, Romania)

Abstract

In the context of an emergency, evacuating people from a location in the shortest possible time is essential, as is the high degree of safety that people should expect when evacuating. Lately, in Romania there have been more and more fire events generated by different causes. This article will use agent-based modeling to simulate an emergency evacuation model in NetLogo. The model has been used to perform and analyze various scenarios. With the help of NetLogo, we managed to perform 400 simulations with the evacuation of 180 people (students, teachers, and non-teaching staff) based on which we developed several recommendations to streamline the evacuation process in order to reduce the possibility of death. The present research will help to identify the evacuation times from a school, but it will also highlight certain aspects that may occur during the evacuation. The model that was used in this research took into account the individual particularities of the people taking part in the evacuation, emphasizing the effects that form in a crowd of people when evacuating; effects such as the funnel effect, which is caused by the formation of bottlenecks around narrow areas. All these things are part of the analysis of the measurement of entropy of the exhaust system, a problem that has captured all of the specialists’ attention. Finally, solutions have been proposed to improve evacuation time in case of disasters.

Suggested Citation

  • Ștefan Ionescu & Ionuț Nica & Nora Chiriță, 2021. "Cybernetics Approach Using Agent-Based Modeling in the Process of Evacuating Educational Institutions in Case of Disasters," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10277-:d:635438
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    References listed on IDEAS

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    1. Song, Xiao & Zhang, Zenghui & Peng, Gongzhuang & Shi, Guoqiang, 2017. "Effect of authority figures for pedestrian evacuation at metro stations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 599-612.
    2. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    3. Hao Chu & Jia Yu & Jiahong Wen & Min Yi & Yun Chen, 2019. "Emergency Evacuation Simulation and Management Optimization in Urban Residential Communities," Sustainability, MDPI, vol. 11(3), pages 1-25, February.
    4. Jan C. Thiele & Winfried Kurth & Volker Grimm, 2014. "Facilitating Parameter Estimation and Sensitivity Analysis of Agent-Based Models: A Cookbook Using NetLogo and 'R'," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(3), pages 1-11.
    5. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    6. B. LeBaron, 2001. "Stochastic volatility as a simple generator of apparent financial power laws and long memory," Quantitative Finance, Taylor & Francis Journals, vol. 1(6), pages 621-631.
    7. Wang, Jinhuan & Zhang, Lei & Shi, Qiongyu & Yang, Peng & Hu, Xiaoming, 2015. "Modeling and simulating for congestion pedestrian evacuation with panic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 396-409.
    8. Kurdi, Heba A. & Al-Megren, Shiroq & Althunyan, Reham & Almulifi, Asma, 2018. "Effect of exit placement on evacuation plans," European Journal of Operational Research, Elsevier, vol. 269(2), pages 749-759.
    9. Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
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    Cited by:

    1. Bahmani, Homa & Ao, Yibin & Li, Mingyang & Yang, Dujuan & Wang, Dongpo, 2023. "Dual disasters: Seismic evacuation decision-making during COVID-19 lockdown: A case study of Luding earthquake, Sichuan Province," Journal of Transport Geography, Elsevier, vol. 110(C).

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