An evacuation guidance model for pedestrians with limited vision

Han, Yu; Liu, Hong; Li, Liang

doi:10.1080/23249935.2021.1977867

Cited by 4 publications

(1 citation statement)

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“…The reason is that the process of direction selection by pedestrians during crowd evacuation is not objective and absolute but has a certain degree of subjectivity and randomness. The probability-based method can reproduce the process of pedestrian direction selection [56]. Therefore, we use the probability-based method.…”

Section: Modified Sfmmentioning

confidence: 99%

Analysis of the effect of obstacles on evacuation efficiency in emergencies

Niu,

Zhang,

et al. 2024

J. Stat. Mech.

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Congestion is one of the factors that affects evacuation efficiency in emergencies. In this study, we focus on shortening the total evacuation time (TET) by setting obstacles near the exit. For this purpose, we add a probability-based obstacle avoidance strategy to modify the original social force model to simulate pedestrians’ obstacle avoidance behaviour. Using the model, we analyse the influence of the number of obstacles, their position and their distance to the wall with the exit on the TET. In addition, we discuss the relationship between the average density at the exit and the TET, which shows that crowd diversion is an effective method to alleviate congestion and shorten the TET. The simulation results show that the evacuation efficiency can be improved by reasonably setting obstacles near the exit. This study can provide some guidance for the management of crowds during emergency evacuations.

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Section: Modified Sfmmentioning

confidence: 99%

Analysis of the effect of obstacles on evacuation efficiency in emergencies

Niu,

Zhang,

et al. 2024

J. Stat. Mech.

Self Cite

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Bidirectional Evacuation in Subway Fires Considering the Number of Retrograders and Proactive Avoidance Behavior Based on Experiments and Simulations

Deng,

Zhou,

Zhang

et al. 2024

Int J Disaster Risk Sci

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Subway fires often cause significant casualties and property losses. There are some special bidirectional coupling scenarios during subway fires, such as firefighters moving against the evacuation flow to extinguish fires, emergency managers going to the fire scene to respond to emergencies, or other similar scenarios. How to evacuate passengers quickly and enable responders to enter the fire scene has become a big challenge for subway fire evacuation and response. The core goal is to reduce the degree of mutual interaction between these people moving in opposite directions. In this study, the impact of counterflow individuals and proactive avoidance behavior on evacuation processes was investigated through experiments and simulations. The Fire Dynamic Simulator was used to simulate the development of a fire scenario to determine the available safe egress time. Micro-evacuation experiments were conducted to obtain actual evacuation parameters, such as the speeds of different objects. With these parameters as input, a macro subway fire scenario was built to simulate the bidirectional evacuation process. Consistent conclusions were obtained from the experiments and evacuation simulations. The results indicate that the overall evacuation time increases with the number of retrograders. Proactive avoidance behavior can effectively reduce the travel time of counterflow individuals, but it causes slight delays for forward-moving evacuees. An optimization strategy was implemented through conductor guidance. All passengers can successfully evacuate under the optimization strategy, with a 25.3% improvement in overall evacuation time. This research provides some insights into the coordinated evacuation and emergency response during subway fires or similar scenarios.

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