Temporal and spatial distribution of pedestrians in subway evacuation under node failure by multi-hazards

Jin, Bowei; Wang, Jinghong; Wang, Yan; Gu, Youmin; Wang, Zhirong

doi:10.1016/j.ssci.2020.104695

Cited by 39 publications

(12 citation statements)

References 21 publications

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“…Future research should pay attention to the following points: First, heterogeneous prior knowledge can be designed to explore the impact of different personnel structures on the evacuation process. Second, our model may be applied in complex scenarios to analyze the influence of the crowd distribution [28] , distribution of obstacles [29] , etc. In addition, visual interaction networks will be used to describe other state changes or behavioral propagation recognized by visual perception.…”

Section: Discussionmentioning

confidence: 99%

Visual information based social force model for crowd evacuation

Chen

et al. 2022

Tsinghua Sci. Technol.

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With the increase in large-scale incidents in real life, crowd evacuation plays a pivotal role in ensuring the safety of human crowds during emergency situations. The behavior patterns of crowds are well rendered by existing crowd dynamics models. However, most related studies ignore the information perception of pedestrians.To overcome this issue, we develop a visual information based social force model to simulate the interpretable evacuation process from the perspective of visual perception. Numerical experiments indicate that the evacuation efficiency and decision-making ability promote rapidly within a small range with the increase in unbalanced prior knowledge. The propagation of acceleration behavior caused by emergencies is asymmetric due to the anisotropy of visual information. Therefore, this model effectively characterizes the effect of visual information on crowd evacuation and provides new insights into the information perception of individuals in complex scenarios.

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Section: Discussionmentioning

confidence: 99%

Visual information based social force model for crowd evacuation

Chen

et al. 2022

Tsinghua Sci. Technol.

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“…12 In terms of safety design and management of subway stations, researchers have proposed several engineering design and hand calculation methods for fire evacuation scenarios. [13][14][15] The emergency resource allocation and emergency response time were analyzed with a Petri net-based approach. 16,17 However, few of these studies combine emergency response to simulate and study the evacuation process in subway stations.…”

Section: Introductionmentioning

confidence: 99%

Metro station evacuation safety assessment considering emergency response

Wang

Jiang

et al. 2022

SIMULATION

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The emergency response process will not start immediately in the initial stage of a subway accident, and information will not fully spread temporarily. Crowds in different regions receive different comprehensiveness of accident information. They will start evacuating at different times and at different desired speed states. Depending on this phenomenon, pedestrians were classified in simulation modeling. In addition, the different states of emergency gates, escalators, and automatic gate machines before and after the emergency response instruction were set up in the simulation. The impact of different emergency response times on evacuations was studied. The emergency response in advance did not make a significant promotion to evacuation efficiency, but delayed emergency response reduced it greatly. This work proposed an evacuation risk index (ERI) and maximum safe evacuation capacity in metro stations. The worst accident evacuation scenario can be obtained by calculating the ERI, and a metro station was evaluated as a case study. The comparison of the evaluation results of ERI and other methods shows that the conclusion is consistent, but ERI considers the accident location factor.

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“…Various authors simulated emergency evacuation using the social force model and group evacuation to simulate the emergency evacuation [17][18][19][20]. In [21], the authors proposed a social field force model (taking the social group as a force field), which was optimized using the artificial bee colony algorithm.…”

Section: Introductionmentioning

confidence: 99%

Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents

et al. 2022

Mathematics

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With the rapid development of the city, more and more people are choosing the subway as their travel mode. However, the hidden dangers of the subway are becoming increasingly prominent, and emergency evacuation of the subway has become a key factor for its safe operation. Therefore, the research objectives of this paper were to focus on the subway emergency evacuation hybrid model to fill the gap in the field of emergency evacuation simulation methods and countermeasure optimization. The analysis network process (ANP) was used to analyze the influence factors and weights of subway pedestrian evacuation. On this basis, a multiagent model of subway pedestrian evacuation (SD + multiagent) was developed and simulated. The results show that the comprehensive evacuation strategy could improve the evacuation efficiency, shorten the evacuation time, and avoid the waste of resources. This study not only improved the accuracy of the simulation, but also clarified the evacuation process. This approach can effectively prevent the occurrence of subway accidents, reduce casualties, and prevent large-scale casualties such as secondary accidents (induced secondary disasters).

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Temporal and spatial distribution of pedestrians in subway evacuation under node failure by multi-hazards

Cited by 39 publications

References 21 publications

Visual information based social force model for crowd evacuation

Visual information based social force model for crowd evacuation

Metro station evacuation safety assessment considering emergency response

Determining Subway Emergency Evacuation Efficiency Using Hybrid System Dynamics and Multiple Agents

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