Ship safety index |
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| Affiliation: | 1. Dept. of International Logistics, Chung-Ang University, South Korea;2. Dept. of International Shipping, Shanghai Jiao Tong University, China;3. School of Management, Shanghai University, China;1. Florida State University, Department of Urban and Regional Planning, 353 Bellamy, Tallahassee, FL 32306-2280, United States;2. Virginia Department of Transportation, United States;1. Statistical Consulting Centre, Department of Mathematics and Statistics, University of Melbourne, 3010, Australia;2. Econometric Institute, Erasmus School of Economics, Erasmus University Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, Netherlands;1. School of Management, Shanghai University, Shanghai 200444, PR China;2. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong;3. Department of International Shipping and Transport Management, Shanghai Jiaotong University, Shanghai 200240, PR China |
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| 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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| Keywords: | Maritime safety Binary regression Safety index Risk rank system Safety database |
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