Decision-Making of Port Enterprise Safety Investment Based on System Dynamics

Sun, Jiachen; Wang, Haiyan; Chen, Jie

doi:10.3390/pr8101235

Cited by 13 publications

(5 citation statements)

References 24 publications

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“…SD has outstanding advantages in analyzing dynamic complex systems with internal feedback loops, and its application in miners’ unsafe behavior has been well developed and quite mature. This model can provide a way to analyze the dynamic relationship between the safety input and unsafe behavior levels of deep coal mines [ 34 , 35 ]. At the same time, the SD model is based on a feedback loop to study the problem, and the data dependence is not high.…”

Section: Methodsmentioning

confidence: 99%

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

Yang

Wang

Zhu

et al. 2022

IJERPH

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The unsafe behavior of miners seriously affects the safety of deep mining. A comprehensive evaluation of miners’ unsafe behavior in deep coal mines can prevent coal mine accidents. This study combines HFACS-CM, SEM, and SD models to evaluate miners’ unsafe behaviors in deep coal mining. First, the HFACS-CM model identifies the risk factors affecting miners’ unsafe behavior in deep coal mines. Second, SEM was used to analyze the interaction between risk factors and miners’ unsafe behavior. Finally, the SD model was used to simulate the sensitivity of each risk factor to miners’ unsafe behavior to explore the best prevention and control strategies for unsafe behavior. The results showed that (1) environmental factors, organizational influence, unsafe supervision, and unsafe state of miners are the four main risk factors affecting the unsafe behavior of miners in deep coal mines. Among them, the unsafe state of miners is the most critical risk factor. (2) Environmental factors, organizational influence, unsafe supervision, and the unsafe state of miners have both direct and indirect impacts on unsafe behaviors, and their immediate effects are far more significant than their indirect influence. (3) Environmental factors, organizational influence, and unsafe supervision positively impact miners’ unsafe behavior through the mediating effect of miners’ unsafe states. (4) Mental state, physiological state, business abilities, resource management, and organizational climate were the top five risk factors affecting miners’ unsafe behaviors. Taking measures to improve the adverse environmental factors, strengthening the organization’s supervision and management, and improving the unsafe state of miners can effectively reduce the risk of miners’ unsafe behavior in deep coal mines. This study provides a new idea and method for preventing and controlling the unsafe behavior of miners in deep coal mines.

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Section: Methodsmentioning

confidence: 99%

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

Yang

Wang

Zhu

et al. 2022

IJERPH

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“…This method is a combination of theory and computer science, which has been used extensively to aid in maritime [ 27 ], project construction [ 28 ], education [ 29 ], resource and environment management [ 30 ], transportation planning [ 31 ] and many other fields. Owing to its outstanding advantages in simulating a dynamically complex system with internal feedback loops [ 32 , 33 , 34 ], it provides a path to solving the dynamic relationship between laboratory safety inputs and safety levels. Meanwhile, SD is based on a feedback loop, which is not sensitive to most non-key parameters in the model.…”

Section: Methodsmentioning

confidence: 99%

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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“…Zuo [23] established a port-city coupling System Dynamics model and analyzed the problems of environmental pollution control and land resource allocation in the coupling process. Sun et al [24] applied the System Dynamics model to improve the safety level of port operation by analyzing the influencing factors of port operation and exploring the interaction between safety investment and system risk level. Li et al [25] applied the System Dynamics model to study the impact of port trade on the regional economy and made relevant analysis through practical applications.…”

Section: Literature Reviewmentioning

confidence: 99%

Impact of COVID-19 on Port Production and Operation Based on System Dynamics: A Case Study of Shanghai Port in China

Tai

Guo

Guan

et al. 2021

Journal of Advanced Transportation

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Since the end of 2019, the outbreak of COVID-19 has severely affected port production and operation. There is little research on the systematic impact assessment. This study took Shanghai Port as an example and evaluated the impact under different scenarios through establishing a System Dynamics model. It is found that the epidemic mainly has a greater impact on passenger transport, but less on cargo transport. The ports with the function of transportation in highway, railway, and waterway were the key nodes in the international logistics network. More attention should be paid to the impact assessment of COVID-19 on ports’ production and operation. It is necessary to strengthen the port’s collection and distribution capabilities, improve port production efficiency, and further strengthen port modernization. This research method proposed in this paper can provide a reference for the impact assessment of similar events, and the empirical results can provide a reference for handling the epidemic shock for the port and shipping departments.

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Decision-Making of Port Enterprise Safety Investment Based on System Dynamics

Cited by 13 publications

References 24 publications

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

Comprehensive Evaluation of Deep Coal Miners’ Unsafe Behavior Based on HFACS-CM-SEM-SD

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

Impact of COVID-19 on Port Production and Operation Based on System Dynamics: A Case Study of Shanghai Port in China

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