An application of data mining tools for the study of shipping safety in restricted waters

The effectiveness of the enforcement of the ISM-Code and the examination of its role in the distribution of causes of shipping accidents between human and non-human error was studied. All accidents involving Greek-flagged ships from 1995 to 2006, a time-scale which spans over the pre- and post-ISM period in navigational regions of restricted waters, were analyzed. The accident data was processed through a classification tree analysis which enabled the classification of various accident factors. The analysis revealed that although the human error maintained its position as the dominant factor in shipping accidents, there is also substantial evidence in support of the ISM-Code effective control over shipping accidents during the post-ISM period. The implementation of the ISM-Code led to an overall reduction of human-induced accidents in total. Furthermore, in terms of location, the ISM-Code improved the human-induced accident record within restricted waters. Conclusively, the ISM-Code constitutes an effective policy measure for shipping safety. The results of the classification tree analysis reported in the present work can be used by decision makers in companies and international organizations to build knowledge-based expert systems and augment their information in the field of safety policy and management.

• Record URL:
  http://www.sciencedirect.com/science/article/B6VF9-50V4VMD-1/2/bcadbf271e4663fc5d01f1a9e9c86acc
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09257535
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier.
• Authors:
  • Kokotos, Dimitrios X
  • Linardatos, Dionisios S
• Publication Date: 2011-2

Language

• English

Media Info

• Media Type: Print
• Features: Bibliography; Figures; References; Tables;
• Pagination: pp 192-197
• Serial:
  • Safety Science
  • Volume: 49
  • Issue Number: 2
  • Publisher: Elsevier
  • ISSN: 0925-7535
  • Serial URL: http://www.sciencedirect.com/science/journal/09257535

Subject/Index Terms

• TRT Terms: Canals and waterways; Crash causes; Data mining; Expert systems; Human error; Marine safety; Maritime safety; Policy, legislation and regulation; Seas; Shipping; Water transportation crashes
• Uncontrolled Terms: Classification and regression trees; International safety management code (Shipping); Restricted zones
• Geographic Terms: Greece
• Subject Areas: Marine Transportation; Planning and Forecasting; Policy; Safety and Human Factors;

Filing Info

• Accession Number: 01323894
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 28 2010 1:30PM