Abstract
This paper develops a new quantitative safety index for each worldwide sea-going vessel based on their condition information and safety records. The safety index can generate a relative risk score using binary logistic regression method and a dataset with both static and dynamic information covering over 90% of the world sea-going merchant fleet. It has a widely potential usage for both industry and academic research, e.g., for port authorities to determine whether an on board inspection is needed; for insurers to determine premium rate; and for shipowners to identify functional areas for repair and maintenance.
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