A human factor reliability analysis method for maritime transport based on an improved CREAM model and group decision-making

Maritime transportation has a crucial position in world trade, and maritime transportation accidents can cause large casualties, environmental pollution and economic losses. In order to evaluate human-caused and non-human-caused errors more comprehensively, so as to improve the reliability of maritime transportation, a reliability analysis model for maritime transporters is proposed, which combines quantitative and qualitative analysis, and can be used to analyze maritime transportation accidents retrospectively and predictively. Different from the traditional reliability analysis model, on the one hand, human-caused and non-human-caused events are analyzed by the optimized CREAM and GDM classifications respectively in the quantitative analysis part; on the other hand, the evolutionary process of the events and the logical hierarchical interactions of the sub-events can be analyzed in more detail by constructing the ETA-FTA analysis framework in the qualitative analysis part. In addition, in the optimization of the specific method, more attention is paid to the occurrence scenario and process of the event, so that the analysis results obtained through the model have a higher correlation with the actual data.

• Record URL:
  • https://doi.org/10.1016/j.oceaneng.2024.116664
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0029801824000015
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00298018
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Pei, Huining
  • Gong, Hao
  • 0009-0007-4077-7243
  • Bai, Zhonghang
  • Ma, Yujie
  • Xu, Mingzhe
  • Li, Guiyang
• Publication Date: 2024-2-1

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 116664
• Serial:
  • Ocean Engineering
  • Volume: 293
  • Issue Number: 0
  • Publisher: Pergamon
  • ISSN: 0029-8018
  • EISSN: 1873-5258
  • Serial URL: http://www.sciencedirect.com/science/journal/00298018

Subject/Index Terms

• TRT Terms: Crash analysis; Decision making; Error analysis; Human factors; Reliability; Water transportation crashes
• Subject Areas: Marine Transportation; Safety and Human Factors;

Filing Info

• Accession Number: 01905209
• Record Type: Publication
• Files: TRIS
• Created Date: Jan 22 2024 9:06AM