Shipping plays an important role in the world's economic
development and has always been characterized as a relatively risky
business. With an increasing awareness of environmental protection
and safety issues, research into maritime risk assessment has
become a major factor for marine companies when making their
operating decisions, and is therefore an important research domain.
It is found that the traditional and simplest way to estimate the
probability of maritime accidents is to consider accident
statistics or expert estimation. However, both of these methods
have certain limitations. This book is based on the safety
performance of global vessels and has found various risk indicators
that can be used to indicate the probability of an accident. An
innovative approach toward integrating logistic regression and a
Bayesian Network together into risk assessment was presented. This
approach has been developed and applied to a case study in the
maritime industry. It can apply to other industries as well.
Finally, a case study applying this risk assessment approach in the
port state control program is presented.
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