A utility threshold model of herding–panic behavior in evacuation under emergencies based on complex network theory

Wang, Jinghong; Chen, Manman; Yan, Wenyu; Zhi, Youran; Wang, Zhirong

doi:10.1177/0037549716678659

Cited by 15 publications

(6 citation statements)

References 29 publications

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“…The findings of other studies about the effect of the passengers' behavior on the efficiency of emergency evacuation of subway stations also have shown that the spread of panic among passengers could cause secondary incidents, which was consistent with our findings . [8][9][10]29 According to the findings of the propagation model of panic in the subway emergency in Shanghai, China, hurrying to exit and escape has led to herding behavior of the populations and stampede, which caused the people to be trampled underfoot especially the disabled ones, dispersing the luggage, and seriously dis- turbing social order and public transportation. 11 According to the findings of other studies, one reason for such behavior is that one of the phenomena of collective behavior in emergencies is following a fleeing crowd.…”

Section: Discussionmentioning

confidence: 99%

“…[5][6][7] On the other hand, the panic among the population caused by such incidents, precipitates secondary incidents increasing the destructive impact of the whole incidents. [8][9][10] For instance, the sudden braking and stopping of the Guangzhou Subway in 2013 caused the passengers of the last wagon to flee to the front of the wagon with terror leading to a number of injuries due to the stampede of the population. 11 Iran is a middle-income country, where subway has been constructed and utilized in eight metropolises including the capital city of Tehran.…”

Section: Introductionmentioning

confidence: 99%

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Factor’s affecting safe emergency evacuation of subways in Iran: findings of a qualitative study

Nouri

Khorasani‐Zavareh

Mohammadi³

2020

J Inj Violence Res

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Background: Development of construction and operation of subway rail transit system in populated cities of middle-and high-income countries along with the increasing population of its users, have exacerbated the safety problems of the users against incidents and emergencies in subway stations. Although subway emergency evacuation is considered by the governments and subway network organizations as a critical task related to passengers' safety at the time of emergency, the risk of mass evacuation in station is undeniable. The main objective of this study is to identify factors affecting safe evacuation of the population from subway station and to propose the strategies for addressing them based on experiences or opinions of stakeholders in Tehran Subways, Iran.Methods: This is a qualitative study that was conducted between January 2017 and December 2018, in which a semi-structured interview was conducted for 17 participants among the senior managers, executive managers, subway station operations staff, and subway passengers in Tehran subway stations, in the Capital of Iran. In order to analyze the data of this qualitative

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Factor’s affecting safe emergency evacuation of subways in Iran: findings of a qualitative study

Nouri

Khorasani‐Zavareh

Mohammadi³

2020

J Inj Violence Res

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“…The emergency evacuation during an urban rainstorm involves the interaction and decision-making of a large number of pedestrians. It is a complex, adaptive system [43]. The key issue to obtain the pedestrians' evacuation route in urban waterlogging is how to set the experimental process.…”

Section: Simulation Methodsmentioning

confidence: 99%

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

et al. 2020

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The frequent occurrence of urban waterlogging constantly affects cities’ stability, bringing about a lot of economic losses and casualties. Coupled with the deficient rescue activities, waterlogging often exacerbates the impact of urban rainstorm disasters. By setting up a diverse distribution of shelters and various types of pedestrians, the evacuation route choice of pedestrians in an urban rainstorm disaster is simulated and analyzed through multi-agent system simulation. Then, clustering analysis is applied to discover population characteristics in different survival scenarios. The simulations for sustainable rescue after pedestrians reach the shelters are also carried out. It was found that the pedestrians’ herd mentality and the distribution of shelters have a significant impact on the success rate of post-disaster evacuation. The results could help pedestrians to make decisions in the evacuation. The wide scope of the shelters’ allocation facilitates the effect of disaster relief.

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“…For the current state of the ship agent, the decision-making unit will search for the corresponding decision tree, and the search result may have multiple results. Among them, the decision that satisfies the conditions of each node is selected as the final decision and submitted to the execution module [41].…”

Section: ) the Decision Modulementioning

confidence: 99%

Data Mining and Optimization of a Port Vessel Behavior Behavioral Model Under the Internet of Things

Jiang

Huang

Huang³

et al. 2019

IEEE Access

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Port traffic is affected by many factors, which may lead to certain problems in terms of maritime traffic safety and efficiency. To further study the maritime traffic flow of ships under the influence of multiple factors, our work combines artificial intelligence and an agent-based architecture to carry out port traffic flow simulation research. Moreover, considering an actual situation, a theoretical research method is used to analyze the feasibility of cellular automata combined with an agent architecture, and the basic framework is constructed. Simultaneously, in order to improve the computational efficiency, a system framework based on the Internet of Things structure is constructed, and the authenticity of the simulation process is improved. In addition, through a field investigation, the corresponding cellular automata model is established, and the cellular automata model and agent architecture are combined to establish the port traffic flow simulation model. Finally, the actual port operational data are collected to simulate various conditions, and the simulation results are obtained. The research shows that the model constructed in this paper has certain effects on the study of ship behavior in ports and can provide a theoretical reference for subsequent related research.

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A utility threshold model of herding–panic behavior in evacuation under emergencies based on complex network theory

Cited by 15 publications

References 29 publications

Factor’s affecting safe emergency evacuation of subways in Iran: findings of a qualitative study

Factor’s affecting safe emergency evacuation of subways in Iran: findings of a qualitative study

MAS-Based Evacuation Simulation of an Urban Community during an Urban Rainstorm Disaster in China

Data Mining and Optimization of a Port Vessel Behavior Behavioral Model Under the Internet of Things

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