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A data centered human factor analysis approach for hazardous cargo accidents in a port environment

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References

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2017Addressing the epistemic uncertainty in maritime accidents modelling using Bayesian network with interval probabilities90 cited
2017

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Paths between latent and active errors: Analysis of 407 railway accidents/incidents’ causes in China

90 cited

2019A Novel Fuzzy Bayesian Network-HFACS (FBN-HFACS) model for analyzing Human and Organization Factors (HOFs) in process accidents87 cited

2021Risk assessment for berthing of hazardous cargo vessels using Bayesian networks85 cited

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2024Quantitative assessment of human error of emergency behavior for hazardous chemical spills in chemical parks20 cited
2024Seaport infrastructure risk assessment for hazardous cargo operations using Bayesian networks18 cited
2025Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach15 cited
2023Seaport Hazardous Cargo Loading and Unloading Risk Assessment Using Interval Type-2 Fuzzy Sets and Bayesian Networks14 cited
2023A data-driven narratives skeleton pattern recognition from accident reports dataset for human-and-organizational-factors analysis13 cited