2019
DOI: 10.1051/matecconf/201927201031
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Analysis of natural and man-made accidents happened in subway stations and trains: based on statistics of accident cases

Abstract: Sometimes subway stations and trains can be very crowded for large passenger flows. However, some stations and trains may be vulnerable when natural or man-made disasters happen, thus the safety of passengers and stuff is threatened. Therefore, it is meaningful to make a deep analysis to these disasters that may happen in subway stations and trains. By collecting cases of accidents include fire disaster, terrorist attack, flood, earthquake and stampede that happened in subway stations or on trains around the w… Show more

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Cited by 10 publications
(2 citation statements)
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References 13 publications
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“…disturbances, safety indicators [15][16] [17], failures [18], anomalies [19], disruptions [20][21] [22] and accidents [23]. The scope of this paper corresponds to the study of the Bfu indicence of the Panama Metro line 1 during the period 2017-2021.…”
Section: Introductionmentioning
confidence: 99%
“…disturbances, safety indicators [15][16] [17], failures [18], anomalies [19], disruptions [20][21] [22] and accidents [23]. The scope of this paper corresponds to the study of the Bfu indicence of the Panama Metro line 1 during the period 2017-2021.…”
Section: Introductionmentioning
confidence: 99%
“…Yu et al [12] proposed the evacuation entropy particle swarm optimization (e-pso) model, verifying that individual panic will aggravate the chaos of events, but adding guidance will reduce the chaos and improve the efficiency of evacuation. Yu et al [13] analyzed the causes and features of emergencies in subway or railway station through empirical research, including fire, terrorist attack, flood, earthquake, stampede, and other accidents. Eren Başak et al [14] used emotional infection model and crowd to simulate three events, such as bombing attack, subway panic, and Black Friday peak, and optimized the emotional characteristic parameters of actors from the data extracted from the video segment of the event.…”
Section: Introductionmentioning
confidence: 99%