IDEAS home Printed from https://ideas.repec.org/a/taf/marpmg/v42y2015i2p186-206.html
   My bibliography  Save this article

Common patterns in aggregated accident analysis charts from human fatigue-related groundings and collisions at sea

Author

Listed:
  • Muhammad Juned Akhtar
  • Ingrid Bouwer Utne

Abstract

Research has shown that there are potentially disastrous outcomes of human fatigue at sea. The conditions in which the seafarers have to operate are becoming more and more demanding. The study in this article attempts to aggregate accident charts derived from in-depth studies of human fatigue-related accidents to determine common patterns of interlinked fatigue factors. The accidents are analyzed by means of the Cognitive Reliability and Error Analysis Method (CREAM), which in the article has been modified for maritime accidents. The main fatigue factors identified are 'shift work', 'irregular working hours', 'inadequate task allocation', and 'excessive demands'. The study reveals several differences between ship collision and grounding accidents and their corresponding fatigue factors. Human fatigue-related collision accidents are characterized by wrong/badly timed decisions, misconceptions, and poor communication between the vessels. Right before the collision the crew is often panicking and mistakes are easily made. In human fatigue-related groundings, the conditions are often monotonous and the navigating officer has either overlooked the upcoming seabed or simply fallen asleep. Safety climate issues are also identified as important contributors to human fatigue.

Suggested Citation

  • Muhammad Juned Akhtar & Ingrid Bouwer Utne, 2015. "Common patterns in aggregated accident analysis charts from human fatigue-related groundings and collisions at sea," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(2), pages 186-206, February.
    • Handle: RePEc:taf:marpmg:v:42:y:2015:i:2:p:186-206
    DOI: 10.1080/03088839.2014.926032
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/03088839.2014.926032
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/03088839.2014.926032?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Zhisen & Yang, Zaili & Yin, Jingbo, 2018. "Realising advanced risk-based port state control inspection using data-driven Bayesian networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 38-56.
    2. Heij, C. & Knapp, S., 2018. "Predictive power of inspection outcomes for future shipping accidents," Econometric Institute Research Papers EI2018-09, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Fan, Shiqi & Yang, Zaili, 2023. "Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    4. Fan, Shiqi & Yang, Zaili, 2024. "Accident data-driven human fatigue analysis in maritime transport using machine learning," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    5. Claire Giot & Laure Lejeune & Nicolas Bessot & Damien Davenne, 2023. "A Survey Exploring How Watch Officers Manage Effects of Sleep Restrictions during Maritime Navigation," IJERPH, MDPI, vol. 20(2), pages 1-13, January.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:marpmg:v:42:y:2015:i:2:p:186-206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TMPM20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.