A data-centered multi-factor seaport disruption risk assessment using Bayesian networks

Yin, Jingbo; Khan, Rafi Ullah; Wang, Xinbo; Asad, Mujtaba

doi:10.1016/j.oceaneng.2024.118338

Ocean Engineering

2024

DOI: 10.1016/j.oceaneng.2024.118338

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A data-centered multi-factor seaport disruption risk assessment using Bayesian networks

Jingbo Yin,

Rafi Ullah Khan,

Xinbo Wang

et al.

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Cited by 4 publications

References 97 publications

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Seaport infrastructure risk assessment for hazardous cargo operations using Bayesian networks

Khan,

Yin,

Ahani

et al. 2024

Marine Pollution Bulletin

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Seaport infrastructure risk assessment for hazardous cargo operations using Bayesian networks

Khan,

Yin,

Ahani

et al. 2024

Marine Pollution Bulletin

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A fuzzy bayesian quantitative risk assessment for language and communication induced accidents in maritime operations

Yin,

Khan,

Afzaal

et al. 2024

Ocean & Coastal Management

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Resilience of Chinese Ports to Tropical Cyclones: Operational Efficiency and Strategic Importance

Poo,

Zhang,

Kamalian

et al. 2024

Climate

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This study evaluated the resilience of five major Chinese ports—Shanghai, Tsingtao, Shenzhen, Xiamen, and Qinzhou—against the impacts of tropical cyclones. These ports, as integral global maritime supply chain nodes, face rising vulnerabilities from climate-related disruptions such as typhoons, sea-level rise, and extreme temperature fluctuations. Employing a resilience assessment framework, this study integrated climate and operational data to gauge how cyclone-induced events affect port performance, infrastructure, and economic stability. Multi-centrality analysis and the Borda count method were applied to assess each port’s strategic importance and operational efficiency under cyclone exposure. The findings highlight variations in resilience across the ports, with Shanghai and Tsingtao showing heightened risk due to their critical roles within international logistics networks. This study suggests strategies like strengthening infrastructure, improving emergency responses, and adopting climate-resilient policies to make China’s ports more sustainable and resilient to climate threats. This research offers actionable insights for policymakers and port authorities, contributing to a more climate-resilient maritime logistics framework.

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A data-centered multi-factor seaport disruption risk assessment using Bayesian networks

Cited by 4 publications

References 97 publications

Seaport infrastructure risk assessment for hazardous cargo operations using Bayesian networks

Seaport infrastructure risk assessment for hazardous cargo operations using Bayesian networks

A fuzzy bayesian quantitative risk assessment for language and communication induced accidents in maritime operations

Resilience of Chinese Ports to Tropical Cyclones: Operational Efficiency and Strategic Importance

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