基于SIRS模型的地铁突发事件乘客信息传播

Z. Hai-feng, Jiang Wei-jia
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引用次数: 0

摘要

当地铁突发事件发生时,由于地铁的封闭空间和较大的人口密度,乘客的恐慌情绪会大大增加,这可能导致信息的传播速度更快,更加复杂。本研究的目的是探讨在这种情况下乘客信息的传播过程。基于SIRS模型和平均场理论,建立了乘客信息扩散模型。在考虑社会正向强化的情况下,对模型进行了修正,使其更适合乘客的习惯。模拟了扩散规律,分析了不同参数下信息的变化趋势。最后对地铁应急管理的可行性建议进行了探讨。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Passengers' Information Propagation in the Subway Emergency Based on SIRS Model
When the subway emergency occurs, the panic of passengers will extremely increase because of enclosed space of metro and the large population density, which may lead the spread of information faster and more complicated. The objective of this study is to investigate the process of passenger information dissemination under such circumstance. Based on the SIRS model and mean field theory, we develop a passenger information diffusion model. The model is modified to be suitable for passenger's habit that positive social reinforcement is considered. We simulate the rule of diffusion and analyze the trend of information variation by changing different parameters. The paper concluded with a discussion on some feasible advice on subway emergency management.
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