Browsing by Author "Zhang, M. Y."

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  • Collision risk factors analysis model for icebreaker assistance in ice-covered waters
    (2018-01-01) Zhang, M. Y.; Zhang, D.; Yan, X. P.; Goerlandt, F.; Kujala, P.
     A4 Artikkeli konferenssijulkaisussa
    With the global warming and a large amount of sea ice melting, the available Arctic Sea Route has greatly enhanced the value of Arctic shipping. Ship operations under icebreaker assistance have become an essential way to facilitate the safe navigation of merchant vessels sailing through the Arctic Sea Route in ice-covered waters, but they can also put the crew and the ship in danger caused by a possible collision between the assisted ship and the icebreaker. In this paper, a dedicated Human and Organizational Factors (HoFs) model of ship collision accidents between an assisted ship and an icebreaker is developed and analyzed with the aim to identify and classify collision risk factors. A modified model of the Human Factors Analysis and Classification System (HFACS) for collision accidents between a ship and an icebreaker in ice-covered waters is proposed, which helps to analyze ship collision reports. An important guidance for the risk control of ship collisions during icebreaker assistance in ice-covered waters is provided for policy makers and shipping companies.
  • A data-driven Bayesian Network for risk modeling and causal analysis of global maritime accidents
    (2024) Jiang, H. Y.; Zhang, J. F.; Wan, C. P.; Zhang, M. Y.; Soares, C. Guedes
     A4 Artikkeli konferenssijulkaisussa
    Multiple factors may cause maritime accidents. Investigating the impact of risk factors on maritime accidents is imperative. This paper employs a data-driven Bayesian network approach to explore the impact of risk factors on maritime safety using a large dataset of maritime accidents. The interdependencies among risk influencing factors are modeled using a Tree Augmented Network, followed by the sensitivity analysis and model validation. The results indicate that the key risk influencing factors influencing maritime accidents mainly include ship location, type, age, gross tonnage, and deadweight tonnage. This study contributes to the prevention of specific types of maritime accidents.