An impacting factors analysis of miners' unsafe acts based on HFACS-CM and SEM

Liu, Rulin; Cheng, Weimin; Yu, Yanbin; Xu, Qingfeng; Jiang, Aiwei; Lv, Tong

doi:10.1016/j.psep.2018.12.007

Cited by 93 publications

(42 citation statements)

References 24 publications

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“…To address this challenge, a SEM model that is widely used for explaining the relationship between variables was introduced for the construction of an SD model. Compared with traditional multivariate regression models, SEM is more capable of testing the intrinsic structural relationships among variables in the model, and expressing these relationships in terms of causal models and path diagrams through factor analysis, path analysis and covariance analysis [ 35 , 36 ]. While SEM is a static research method, it is possible to build an SD model based on the correlations identified by the SEM.…”

Section: Methodsmentioning

confidence: 99%

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A Methodology for Dynamic Assessment of Laboratory Safety by SEM-SD

Zhang

et al. 2021

IJERPH

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Lab safety problems have become an impeding factor that cannot be ignored in normal teaching and scientific research activities at colleges and universities. As the risk factors of lab accidents can be conceptualized as occurring at multiple levels, systematically improving and optimizing lab safety is the crucial route to accident prevention in labs. In this paper, a novel method that integrates a structural equation model (SEM) and system dynamics (SD) is presented to dynamically assess lab safety with the characteristics of insufficient data and uncertainty. On the basis of a questionnaire investigation, the SEM was utilized to determine the influencing factors on lab safety and acquire the path coefficients among these factors, which were embedded into the SD model as the weight of the influencing factors. An illustration was carried out to test and validate the proposed method, and a sensitivity analysis was also conducted to recognize variables contributing the most to the improvement of lab safety. The results demonstrated that the safety input of human and management subsystems is the most effective to improve the lab safety; meanwhile, “safety awareness”, “emergency ability”, “operation skills”, “safety culture” and “safety training” are the top five contributing factors, which can promote lab safety in the shortest time.

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Section: Methodsmentioning

confidence: 99%

“…In the Figure 2 , e1~e17 represent the residual terms of the corresponding observed variable; e18–e21 express the residual terms of the corresponding latent variables. In the initial SEM, the regression weight of one variable in a group of variables was set to 1 first, so as to facilitate and support the SEM model’s operation [ 35 ].…”

Section: Methodsmentioning

confidence: 99%

A Methodology for Dynamic Assessment of Laboratory Safety by SEM-SD

Zhang

et al. 2021

IJERPH

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“…Environmental factors also proved to be an important cause of unsafe behaviors in the research regarding mine accidents by Mirzaei et al [33]. Another study on unsafe behaviors of coal miners, although denying the direct influence of the preconditions of unsafe behaviors on unsafe behaviors, proved that the preconditions of unsafe behaviors are important intermediate variables that affect unsafe behaviors [41]. Although the above research is not in the field of hazardous chemical research, their research conclusions still support the research conclusions of this study.…”

Section: Theoretical Implicationmentioning

confidence: 99%

Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network

Liu

Liu³

2019

IJERPH

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Hazardous chemical accidents (HCAs) seriously endanger public life, property, and health. Human and organizational factors are important causes of many kinds of accidents. In order to systematically explore the influencing factors of unsafe behaviors in HCAs in China, the method of human factors analysis and classification system based on the Bayesian network (BN-HFACs) was introduced. According to the 39 investigation reports of HCAs in China, the origin Bayesian network (BN) was obtained and the failure sensitivity of every node in BN was calculated. The results have shown that hazardous material environment (1.63) and mechanical equipment (0.49) in the level of preconditions of unsafe behavior have the same direction failure effect with operation error, while there is no factor has the same direction failure effect with operation violate. Some factors in organization influence and unsafe supervision, such as organization climate (0.34), operation guidance (0.37), planned operation (0.22), and legal supervision (0.19), are also important reasons for operational errors, while resource management (0.12), hidden investigation (0.18) and legal supervision (0.13) have an impact on operation violates. Moreover, there are still close relationships between other hierarchical elements, such as the operation guidance effect on the hazardous material environment (6.60), and the organizational climate has the most obvious impact on other factors at the level of organizational factors. Based on the above research conclusions, suggestions for individual, enterprise, and government were put forward, respectively, and the limitations of this study were also clarified.

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“…The idea of classification and stratification of HOFs was very popular in various industries and made Reason's SCM of practical significance. HFACS is widely used in accident investigations in many industries, with some transformations to make it consistent with the characteristics and actual conditions of various industries, such as the aviation industry [19,20], construction industry [21], railway industry [22,23], shipping industry [24][25][26], oil and gas industry [27], and mining industry [28,29].…”

Section: Literature Reviewmentioning

confidence: 99%

Dynamics Simulation of the Risk Coupling Effect between Maritime Pilotage Human Factors under the HFACS Framework

Zhang

Chen

et al. 2020

JMSE

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Maritime pilotage is an important guarantee for the safety of water traffic in port. The pilot is affected by the complex port environment, the differences of crew and equipment of different ships, the physical and psychological pressure of the pilot himself, as well as the management factors from the pilot station and maritime safety administration. In order to avoid pilotage accidents (PAs), it is necessary to study the coupling effect of human-organizational factors (HOFs) on PAs. In this paper, from the perspective of HOF risk coupling in pilotage, the problem of HOF risk coupling in maritime pilotage is studied by using the hierarchical classification idea of the human factors analysis and classification system (HFACS) and the method of system dynamics (SD). First of all, HFACS is used to analyse the HOF risk causal elements (RCEs) in pilotage, and 70 RCEs are summed up in four layers; secondly, the SD coupling model of RCEs is constructed; finally, based on a dataset of PAs collected by the Shanghai Harbour Pilot Association, the coupling simulation of RCEs in pilotage is carried out, and the volatility is evaluated. In general, the safety situation of maritime pilotage has been improving in the Shanghai port. However, four RCEs (negligence, habit, pilotage experience, and violations) in unsafe acts and two RCEs (teamwork and personal safety awareness) in precondition for unsafe acts contribute the most to maritime PAs and need to be paid attention to.As important national and international hubs of transportation, ports are widely concerned by the society. Moreover, with the continuous growth of international trade, the port becomes more and more busy, making the density of ships in the port water area increase greatly. As a result, water traffic accidents occur frequently, and people's lives, property, and environment are facing a huge threat. In particular, some serious accidents, such as the collision of CF Crystal and Sanchi in the East China Sea [4], have caused great concerns.In the actual pilotage, the pilot's advice is supposed to be authorized by the captain and implemented by the officer on watch (OOW) and helmsman in the normal conditions. As such, the captain needs to supervise the operation of the pilot and take necessary actions, including taking command when he has any doubt. Therefore, it is extremely important that the ship's crew on bridge and the pilot work closely to guarantee the safety of ships. When berthing and unberthing, the cooperation between the ship and the tugboat and the dock side is also required. In some special cases, if the visibility is poor, or the ship carried dangerous goods, some additional safety measures are needed, such as additional look-out and tug escorts. Obviously, due to the addition of pilots, the traditional ship's bridge has changed in the operation of navigation, so that pilots' technical acts directly affect the safety of the ships entering and leaving the ports. Furthermore, pilots are faced with the complicated environment of the pilotage waters, the ...

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An impacting factors analysis of miners' unsafe acts based on HFACS-CM and SEM

Cited by 93 publications

References 24 publications

A Methodology for Dynamic Assessment of Laboratory Safety by SEM-SD

A Methodology for Dynamic Assessment of Laboratory Safety by SEM-SD

Cause Analysis of Unsafe Behaviors in Hazardous Chemical Accidents: Combined with HFACs and Bayesian Network

Dynamics Simulation of the Risk Coupling Effect between Maritime Pilotage Human Factors under the HFACS Framework

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