期刊
SAFETY SCIENCE
卷 92, 期 -, 页码 66-84出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ssci.2016.09.011
关键词
Winter navigation operations; Accident data analysis; AIS data; Visual data mining; Maritime safety; Maritime risk
资金
- BONUS
- joint Baltic Sea research and development programme
- European Union's Seventh Programme for research, technological development and demonstration
- Academy of Finland
- Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)
Navigational accidents in wintertime conditions occur relatively frequently, yet there is little systematic knowledge available about the circumstances under which these occur. This paper presents an analysis of navigational shipping accidents in the Northern Baltic Sea area which occurred in the period 2007-2013. The analysis is based on an integration of various data sources, aiming to reconstruct the accident conditions based on the best available data sources. Apart from basic accident information from the original accident databases, data from the Automatic Identification System is used to obtain insight in the operation type during which the accident occurred, as well as into other dynamic aspects of the accident scenario. Finally, atmospheric and sea ice data is used to reconstruct the navigational conditions under which the accidents occurred. The analysis aims to provide qualitative insights in patterns and outlier cases in the accidental conditions. Correspondingly, visual data mining is selected as analysis approach, because of its utility in obtaining qualitative knowledge from data sources through a combination of visualization techniques and human interaction with the data. Special attention is given to the strength of evidence of the identified accident patterns. The results are primarily useful for improving risk analyses focusing on oil spill risks in winter conditions and for developing realistic training scenarios for oil spill response operations. (C) 2016 The Authors. Published by Elsevier Ltd.
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