A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis
Identifying and assessing the likelihood and consequences of maritime accidents has been
a key focus of research within the maritime industry. However, conventional methods utilised …
a key focus of research within the maritime industry. However, conventional methods utilised …
Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports
RJ Bye, AL Aalberg - Reliability Engineering & System Safety, 2018 - Elsevier
This paper presents the results of statistical analyses of maritime accidents data and AIS
data from Norwegian waters, to identify conditions that are associated with navigation …
data from Norwegian waters, to identify conditions that are associated with navigation …
Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis
W Zhang, X Feng, F Goerlandt, Q Liu - Reliability Engineering & System …, 2020 - Elsevier
Estimating the navigational risk of vessels operating in sea and waterway areas is important
for waterway risk management and pollution preparedness and response planning. Existing …
for waterway risk management and pollution preparedness and response planning. Existing …
An analysis of severity of oil spill caused by vessel accidents
Marine pollution, especially oil spill-based, affects both marine and coastal environment is
one of the most important issues for the maritime industry. The accurate prediction of the …
one of the most important issues for the maritime industry. The accurate prediction of the …
A machine learning approach for monitoring ship safety in extreme weather events
Extreme weather events can result in loss of life, environmental pollution and major damage
to vessels caught in their path. Many methods to characterise this risk have been proposed …
to vessels caught in their path. Many methods to characterise this risk have been proposed …
[HTML][HTML] The value of meteorological data in marine risk assessment
The objective of this paper is to investigate whether the use of meteorological data improves
the prediction of marine incidents, as represented by marine insurance claims for a vessel's …
the prediction of marine incidents, as represented by marine insurance claims for a vessel's …
An operational risk awareness tool for small fishing vessels operating in harsh environment
Probabilistic safety assessment using the Bayesian network (BN) has emerged as a popular
method for developing risk analysis tools. The method allows for risk-influencing factors from …
method for developing risk analysis tools. The method allows for risk-influencing factors from …
Economic impact of typhoon-induced wind disasters on port operations: A case study of ports in China
The impact of a port disruption can reverberate across the entire economy through global
supply chains. It is essential to ensure the regular operation of seaborne transportation …
supply chains. It is essential to ensure the regular operation of seaborne transportation …
[HTML][HTML] A novel integrated method for heterogeneity analysis of marine accidents involving different ship types
Existing studies have noted differences in risk influential factors (RIFs) across various ship
types but often fail to provide a detailed analysis and targeted countermeasures. This study …
types but often fail to provide a detailed analysis and targeted countermeasures. This study …
Managing weather & fishing safety: Marine meteorology and fishing decision-making from a governance and safety perspective
J Finnis, E Reid-Musson - Marine Policy, 2022 - Elsevier
Weather is a key factor influencing occupational health and safety (OHS) in the fishing
sector, and this relationship is the subject of a growing body of research. However, the issue …
sector, and this relationship is the subject of a growing body of research. However, the issue …