Analytical HFACS for investigating human errors in shipping accidents
Despite the innovative trends in marine technology and the implementation of safety-related regulations, shipping accidents are still a leading concern for global maritime interests. Ensuring the consistency of shipping accident investigation reports is recognized as a significant goal in order to clearly identify the root causes of these accidents. Hence, the goal of this paper is to generate an analytical Human Factors Analysis and Classification System (HFACS), based on a fuzzy analytical hierarchy process (FAHP), in order to identify the role of human errors in shipping accidents. Integration of FAHP improves the HFACS framework by providing an analytical foundation and group decision-making ability in order to ensure quantitative assessment of shipping accidents.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00014575
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Supplemental Notes:
- Abstract reprinted with permission from Elsevier
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Authors:
- Celik, Metin
- Cebi, Selcuk
- Publication Date: 2009-1
Language
- English
Media Info
- Media Type: Print
- Features: Figures; Tables;
- Pagination: pp 66-75
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Serial:
- Accident Analysis & Prevention
- Volume: 41
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 0001-4575
- Serial URL: http://www.sciencedirect.com/science/journal/00014575
Subject/Index Terms
- TRT Terms: Analytic hierarchy process; Crash investigation; Crash reports; Error analysis; Fuzzy logic; Human error; Human factors in crashes; Maritime safety; Shipping; Water transportation crashes
- Subject Areas: Marine Transportation; Safety and Human Factors;
Filing Info
- Accession Number: 01121638
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 17 2009 12:30PM