Based on ISM—NK Tunnel Fire Multi-Factor Coupling Evolution Game Research

Liu, Jie; Yang, Guanding; Wang, Wanqing; Zhou, Haowen; Hu, Xinyue; Ma, Qian

doi:10.3390/su14127034

Cited by 5 publications

(4 citation statements)

References 19 publications

(32 reference statements)

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“…The coupling analysis of the causative factors of subway operation accidents is carried out, and the coupling degree of risk factors is calculated by using the N-K model to analyze the impact of risk coupling among four types of primary risk factors on the safety of subway operation, to deduce the deep mechanism of multi-factor coupled subway operation accidents, and to facilitate the grasp of the key points of prevention and control in the causative system of subway operation accidents [42].…”

Section: Building a Coupled Model Of Subway Operational Safety Risksmentioning

confidence: 99%

“…As shown in Figure 6, there are four types of first-level risk factors in the subway system: personnel, equipment and facilities, environment, and safety management. The accumulation of risk factors under a single risk factor generates the corresponding risk, and the continuously intensifying risk factors continue to spread in the subway operation accident chain after breaking through the respective sub-defense system, and the risk factors are transformed from static to dynamic, interacting, superimposing and coupling with other risk factors, and under the action of coupling oscillation, prompting them to The coupling analysis of the causative factors of subway operation accidents is carried out, and the coupling degree of risk factors is calculated by using the N-K model to analyze the impact of risk coupling among four types of primary risk factors on the safety of subway operation, to deduce the deep mechanism of multi-factor coupled subway operation accidents, and to facilitate the grasp of the key points of prevention and control in the causative system of subway operation accidents [42].…”

Section: Subway Operation Safety Risk Coupling Mechanism and Interact...mentioning

confidence: 99%

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Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

et al. 2023

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In order to effectively reduce the probability of subway operation accidents and explore the key risk factors and multi-factor risk coupling mechanism during the subway operation period, this paper classifies the risk factors affecting subway operation safety into four categories of primary risk factors, personnel, equipment and facilities, environment and safety management, introduces the emergency management concept to identify 18 secondary risk factors, combines the improved fuzzy decision making test and evaluation laboratory (DEMATEL) and Explanatory Structure Model (ISM) to visualize the risk factor action relationship, construct a six-order hierarchical recursive structure model for subway operation accidents, explore the coupling relationship and effect between risk factors from the perspective of single factor, double factor and multiple factors, establish a coupling effect metric model based on Natural Killing Model (N-K), carry out coupling information interaction scenario combination and coupling effect quantification calculation, and finally integrate fuzzy DEMATEL-ISM-NK model to correct the centrality, determine the key risk factors in subway operation accidents from the perspective of macro and micro analysis, qualitative and quantitative research, and propose safety prevention and control strategies accordingly. The results show that six factors, such as emergency management and social environment, are key risk factors to be prevented in the metro operation system. Multi-factor risk coupling leads to a higher probability of subway operation accidents, and controlling multi-factor involvement in coupling is an effective means to reduce the occurrence of subway operation accidents.

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Section: Building a Coupled Model Of Subway Operational Safety Risksmentioning

confidence: 99%

Section: Subway Operation Safety Risk Coupling Mechanism and Interact...mentioning

confidence: 99%

Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

et al. 2023

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“…Risk factor coupling relationships are categorized according to the number and attributes of bridge construction accident risk factors, i.e., single-factor coupling, two-factor coupling, and multi-factor coupling [13,28,34]. Single-factor coupling refers to the interdependence and association among one or more components within the same safety risk factor category.…”

Section: Coupling Mechanism Of Bridge Construction Risk Factorsmentioning

confidence: 99%

Coupled Analysis of Safety Risks in Bridge Construction Based on N-K Model and SNA

Shan,

Qiu,

Chen

et al. 2023

Buildings

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Bridge construction accidents are often caused by a variety of factors, so it is particularly important to explore the role mechanism of bridge construction accident risk factors to effectively prevent construction safety accidents and ensure the smooth construction of bridges. We collect the causes of bridge construction accidents in China from 2006 to 2023, take 126 typical cases as research samples, analyze the primary risk factors of bridge construction from four aspects (human factors, equipment factors, management factors, and environmental factors), establish a library of secondary risk factors with reference to the literature research, introduce the theory of risk coupling, and analyze the coupling mechanism and types of risk factors of bridge construction accidents. The N-K random Boolean network model (N-K model) quantifies the coupling relationship between risk factors, assesses the risk level, and uses social network analysis (SNA) to analyze the network of bridge construction accident risk factors. The results indicate that the more factors involved in risk coupling, the greater the safety risks in bridge construction. Human factors are susceptible to the influence of other elements, and environmental and management factors can directly or indirectly impact other factors. In addition, operational errors, a lack of supervision and management, inadequate safety inspections, poor management personnel, and insufficient technical capabilities are also key risk factors that need to be prevented and controlled.

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“…In 2001, the St. Gotthard Tunnel in Switzerland (16.32 km) was the scene of a fire caused by a collision between two trucks, resulting in 11 deaths [4]. Recent tunnel fires in the country include the Xuefeng Tunnel (7.023 km) fire in 2020 and the Maoliling Tunnel fire (3.59 km) in 2019, with the former causing two deaths and the latter causing five deaths [5]. The extra-long road tunnel itself is a long, narrow, and nearly enclosed structure [6].…”

Section: Introductionmentioning

confidence: 99%

A Study on the Evacuation of an Extra-Long Highway Tunnel Fire—A Case Study of Chengkai Tunnel

Wang

Chen

et al. 2023

Sustainability

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The smoke from tunnel fires spreads over long distances and is difficult to vent. Smoke accumulation leads to high temperatures, low visibility, and high concentrations of toxic gases, which greatly hinders the evacuation of people inside the tunnel. In this paper, a representative extra-long highway tunnel—Chengkai Tunnel—is selected as the engineering background, and a tunnel model is built using FDS and Pathfinder software to simulate the fire scenario and evacuation scenario under different longitudinal wind speeds. The concept of safe evacuation reliability is proposed to describe the relationship between the ASET (available safe egress time) and the RSET (required safe egress time). The simulation results show that with the increase in longitudinal wind speed, the ASET upstream of fire source increases first and then remains unchanged, while ASET downstream of fire source increases first and then decreases. The ASET upstream of the fire source is affected by visibility, while the ASET downstream of the fire source is affected by visibility when the wind speed is low, and is affected by temperature as the wind speed increases. The bottleneck effect is an important reason for the long evacuation time of people. The blockage time is a power function of the evacuation movement time, and increasing the width of the cross passage can improve the evacuation efficiency of the tunnel. The increase in the number of evacuees will reduce the reliability of the safe evacuation of personnel. Among all simulated scenarios, a longitudinal wind speed of 2.5 m/s has the highest safe evacuation reliability, with 0.79, 0.92, and 0.99 for scenarios R1, R2, and R3, respectively. Excessive wind speed reduces the safe evacuation reliability downstream of the fire source.

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Based on ISM—NK Tunnel Fire Multi-Factor Coupling Evolution Game Research

Cited by 5 publications

References 19 publications

Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

Integrated Fuzzy DEMATEL-ISM-NK for Metro Operation Safety Risk Factor Analysis and Multi-Factor Risk Coupling Study

Coupled Analysis of Safety Risks in Bridge Construction Based on N-K Model and SNA

A Study on the Evacuation of an Extra-Long Highway Tunnel Fire—A Case Study of Chengkai Tunnel

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