Research on the system dynamics of personnel panic psychology in civil


	aircraft fire accidents

Abstract

Abstract:

In order to explore the impact of panic psychology on the evacuation process of civil aviation passenger aircraft

(abbreviated as civil aircraft) passengers, based on the consideration of environmental factors, self-regulation factors and population influencing factors, Anylogic software is used to establish the system dynamics model of propagation of panic psychology among passengers during cabin fires, and its parameter values are determined through

questionnaires and other methods. And the propagation and recovery of panic psychology among evacuees are simulated for different visibilities and temperatures in the cabin. The results show that, in the early stage of evacuation,

the smoke generated by the burning caused a decrease in visibility and an increase in temperature in the cabin,

leading to a rapid increase in the number of panicked people. Subsequently, under the influence of self-regulation,

crew guidance and positive information dissemination, the number of people in panic gradually decreased, and finally the number of people in panic and calm remains relatively stable and reaches a state of dynamic balance. The

study finds that the increase in passengers′ attention to cabin safety information can effectively reduce the time it

takes for the crowd′s emotions to reach a dynamic balance. This study has guiding significance for relieving passenger panic psychology and improving evacuation efficiency during emergency evacuation of civil aircraft.

Key words:

civil aircraft, emergency evacuation, panic psychology, system dynamics

CLC Number:

V328
X949

DU Hongbing, YAN Zhen, ZHANG Chong.

Research on the system dynamics of personnel panic psychology in civil

aircraft fire accidents

[J]. Journal of Civil Aviation University of China, 2025, 43(4): 15-21.

References (4)

	[1]
	LIU Y, WANG W J, HUANG H Z , et al. A new simulation model for as－
	sessing aircraft emergency evacuation considering passenger physical
	characteristics[J]. Reliability Engineering & System Safety, 2014, 121:
	187-197.
[2]	邵荃, 王浩. 民航旅客全流程应急疏散仿真研究[J]. 航空计算
	技术, 2019, 49(5): 1-6.
[3]	田水承, 王启睿, 陈洋, 等. 民机客舱中部应急出口对人员疏散的
	影响[J]. 科学技术与工程, 2020, 20(20): 8413-8417.
[4]	杜红兵, 胡辉, 张世博, 等．体质指数变化对民机人员应急疏散的
	影响研究[J]．安全与环境学报, 2022, 22(6): 3326-3332．
	[5]
	HUO L G, HUANG P Q, FANG X. An interplay model for authorities′
	actions and rumor spreading in emergency event[J]. Physica A: Statis－
	tical Mechanics and Its Applications, 2011, 390(20): 3267-3274.
	[6]
	YU L A, LI L, TANG L．What can mass media do to control public panic
	in accidents of hazardous chemical leakage into rivers? A multi-agent based online opinion dissemination model[J]. Journal of Cleaner Production, 2017, 143: 1203-1214.
[7]	王莉, 刘致君．考虑恐慌情绪感染的 CA 疏散模型算法研究[J]．安
	全与环境学报, 2023, 23(4): 1225-1230.
[8]	凤四海, 王志杰, 邓捷, 等. 引入恐慌因素的元胞自动机应急疏散
	模型[J].中国安全科学学报, 2022, 32(4): 148-154.
[9]	关文玲, 李树颖, 董呈杰. 紧急状况下人员恐慌动力学模型及仿真
	研究[J]. 安全与环境学报, 2021, 21(2): 746-751.
[10]	XU S Y, WANG J H, LI J, et al. System dynamics research of non -

	adaptive evacuation psychology in toxic gas leakage emergencies of


	chemical park[J]. Journal of Loss Prevention in the Process Industries,


	2021, 72: 104556.


	[11] ZHANG T, ZHANG X L, HUANG S S, et al． Collective behavior of mice


	passing through an exit under panic[J]． Physica A: Statistical Mechanics


	and Its Applications, 2018, 496: 233-242.


	[12] 陈鹏. 基于行人行为特性的大型铁路客运站应急疏散仿真方法


	研究[D]. 北京: 北京交通大学, 2018.


	[13] 万欣. 基于乘客行为的地铁车站运行脆弱性分析与评估研究[D].


	南京: 东南大学, 2016.


	[14] 刘杨. 基于 Anylogic 的地铁站应急疏散仿真研究[D]. 兰州: 兰州


	交通大学, 2016.


	[15] 陈雪. 基于情景的突发公共卫生事件系统动力学模型研究[D]. 长


	春: 吉林大学, 2021.


	[16] 马玲. 考虑恐慌情绪传播的购物中心人群疏散仿真[D]. 天津: 天


	津理工大学, 2022.


	[17] SWANSON J. Business dynamics: systems thinking and modeling for a


	complex world[J]. Journal of the Operational Research Society, 2002, 53


(4)	: 472-473.


	[18] 王坤. 基于行为心理学的火灾疏散联合仿真研究[D]. 西安: 长安


	大学, 2021.


	[19] HELBING D, FARKAS I, VICSEK T. Simulating dynamical features of


	escape panic[J]． Nature, 2000, 407: 487-490.


	[20] 王瑞祥, 张英华, 秦挺鑫, 等. 基于传染病模型的群体活动中恐慌心


	理蔓延研究[J]. 中国安全生产科学技术, 2021, 17(7): 167-171.


	[21] 张晨. 船舶火灾烟气蔓延与人员疏散模拟研究[D]. 大连: 大连海


	事大学, 2020.


	[22] 陈和燕. 地铁站火灾模拟与人员安全疏散时间研究[D]. 武汉: 武汉


	理工大学, 2019.


	[23] TSAI C A, CHEN J J. Multivariate analysis of variance test for gene set


	analysis[J]. Bioinformatics, 2009, 25(7): 897-903.


	[24] XU C C, WITLOX F. Understanding total evacuation time perception in


	airplane emergency: a stated preference approach [J]. Safety Science,


	2022, 146: 105540.


	[25] CHITTARO L. A comparative study of aviation safety briefing media:


	card, video, and video with interactive controls[J]. Transportation Research Part C: Emerging Technologies, 2017, 85: 415-428.


	[26] LEE C C, WANG S W, HSU M K, et al. Air passenger′s perception to－


	ward pre-flight safety briefing videos: does it matter?[J]. Journal of Air


	Transport Management, 2018, 72: 20-31.

Research on the system dynamics of personnel panic psychology in civil

aircraft fire accidents

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