Analysis and Prediction on Combination Patterns of Human Factors for Maritime Accidents

Human factors have been recognized as the main causes of maritime accidents. In order to reduce the occurrences of accidents and improve levels of prevention, this paper analyzes and predicts the combination patterns of human factors. Firstly, a human factors analysis system for maritime accidents is developed. Its prototype is HFACS, and it is in line with the core concept of the Swiss Cheese Model. Secondly, human factors are quantified by using binary numbers to obtain a factors matrix on the basis of history dates. Then, the main combination patterns are picked up by matrix transformation and use of the clustering method. Thirdly, Bootstrap is introduced to predict the main combination patterns in the future. The results are in accordance with actual values. Finally, several advantages and limitations of this research for maritime safety are discussed and concluded in this paper.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 2313-2322
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01531383
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:03PM