Dynamic Spreading Model of Passenger Group Panic considering Official Guidance Information in Subway Emergencies

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

Safety concerns are increasing as rail transportation develops at a fast pace. When emergencies erupt in the course of transportation, panic will spread among passengers. Subway operators should understand how the emotions of passengers spread and how the guidance instructions work, in order to effectively deter the transmission of panic. Based on the models of system dynamics, transmission dynamics, and contagious disease, the essay constructs a dynamic transmission model for passenger panic inside the carriage, incorporating the official guidance instructions. Then, the essay utilizes Routh–Hurwitz criteria and analyzes the stability equilibrium of the dynamic differential equation. Mathematical analysis and simulation tests have verified the validity of the model and stability conditions. Finally, it is proved in the essay by mathematical analysis and simulation tests that official guidance instructions can effectively control the spread of panic and quickly stabilize the system. Thus, the essay helps subway operators to come up with clear official guidance, so as to find quick solutions and prevent escalation of panic due to lack of trust.

Related collections

Most cited references 29

Record: found
Abstract: found
Article: not found

Effects of awareness diffusion and self-initiated awareness behavior on epidemic spreading - An approach based on multiplex networks

Jia-Qian Kan, Hai-Feng Zhang (2016)

Highlights • The interplay between the epidemic spreading and the diffusion of awareness is studied in multiplex networks. • Unaware individuals can be informed by aware neighbors in information network and self-awareness induced by the infected neighbors in contact networks. • The effects of awareness diffusion and self-initiated awareness on the epidemic threshold and the density of infection are investigated. • Our findings show that the local or global information based self-awareness can reduce the density of infection but cannot alter the epidemic threshold.