DOI QR코드

DOI QR Code

Identifying Seafarer's Behavioral Error by Marine Accident Type

해양사고 종류별 선원의 행동오류 식별

  • Park, Deuk-Jin (Graduate course of Navigation System Engineering, Mokpo National Maritime University) ;
  • Yang, Hyeong-Seon (Division of Navigation Science, Mokpo National Maritime University) ;
  • Yim, Jeong-Bin (Division of Navigation Science, Korea Maritime and Ocean University)
  • 박득진 (목포해양대학교 대학원) ;
  • 양형선 (목포해양대학교 항해학부) ;
  • 임정빈 (한국해양대학교 항해학부)
  • Received : 2018.02.28
  • Accepted : 2018.03.16
  • Published : 2018.06.30

Abstract

The identification of behavioral errors by seafarers that have caused marine accidents may provide important clues for the reduction or prevention of marine accidents. The purpose of this study is to identify the behavioral errors of seafarers by the type of marine accident using the theory of Skill-, Rule-, and Knowledge-Based Behavior (SRKBB). In order to identify behavioral errors, we collected the information related to 1,744 cases of maritime accidents over a 9 year period (2008 ~ 2016). The behavior errors of the seafarers who caused the marine accidents were classified as SBBE (Skill-Based Behavioral Error), RBBE (Rule-Based Behavioral Error), and KBBE (Knowledge-Based Behavioral Error). After analyzing the frequency of behavioral errors according to the type of marine accident, results showed SBBE had the highest frequency of errors, followed by RBBE. Additionally, the frequency of occurrence of accidents such as stranding, overturning, and sinking was high in KBBE. This study showed it is possible to identify behavioral errors of seafarers according to the type of marine accidents.

해양사고를 야기한 선원들의 행동오류 식별은 해양사고 예방, 저감 또는 억제에 중요한 단서가 된다. 본 연구의 목적은 SRKBB(Skill-, Rule-, and Knowledge Based Behavior) 이론을 이용하여 해양사고 종류별로 선원들의 행동오류를 식별하는데 있다. 행동오류 식별을 위하여 9년간(2008~2016)의 해양사고 재결서 1,744건에 기록된 사고내용을 수집한 후, 사고를 야기한 선원들의 행동오류를 SBBE(Skill-Based Behavioral Error), RBBE(Rule-Based Behavioral Error), KBBE(Knowledge-Based Behavioral Error) 세 가지 종류로 분류하였다. 행동오류 분류를 위하여 SRKBB 이론을 적용한 행동오류 분류용 프레임워크를 제안하고, 이 프레임워크를 이용하여 행동오류 데이터를 구축하였다. 사고종류별 행동오류의 빈도를 분석한 결과, 충돌사고는 SBBE가 가장 높은 빈도로 관측되었고, 이어서 RBBE가 두 번째로 높은 빈도로 관측되었다. 이에 반하여 좌초, 전복 및 침몰 등의 사고는 KBBE 중에서 높은 빈도로 관측되었다. 연구결과, 해양사고 종류별로 선원들의 행동오류 식별이 가능하였고, 해양사고 종류별 사고 예방에 필요한 선원들의 행동오류 보정에 관한 단서를 확보할 수 있었다.

Keywords

References

  1. Chauvin C., Clostermann, J. P. and Jean-Michel Hoc(2008), "Situation Awareness and the Decision-Making Process in a Dynamic situation: Avoiding collisions at sea", Journal of cognitive engineering and decision making, Vol. 2, pp. 1-23. https://doi.org/10.1518/155534308X284345
  2. Drivalou, S. and Marmaras, N.(2009). "Supporting skill-, rule-, and knowledge-based behaviour through an ecological interface: An industry-scale application", International Journal of Industrial Ergonomics, Vol. 39(6), pp. 947-965. https://doi.org/10.1016/j.ergon.2009.08.012
  3. Imbert, J. P., Granger, G., Benhacene, R., Golfetti, A., Bonelli, S., and Pozzi, S.(2015), "Skill, Rule and Knowledge-based Behaviors Detection during Realistic ATM Simulations by Means of ATCOs' Brain Activity", SESARWPE.
  4. IMO(1972), Convention on the International Regulations for preventing collision at sea [with amendments adopted from December 2009], International Maritime Orgnization, London, UK.
  5. KMST(2016), Statistical Year Book for Maritime Accidents. Korean Maritime Safety Tribunals(KMST).
  6. KMST(2017), Written Verdict. [Online], Retrieved from https://data.kmst.go.kr/kmst/verdict/writtenverdict/selectwrittenverdict.do, [accessed 2nd Aug. 2017].
  7. Lin, C. J., Shiang, W. J., Chuang, C. Y. and Liou, J. L.(2014), "Applying the Skill-Rule-Knowledge Framework to Understanding Operator's Behaviors and Workload in Advanced Main Control Rooms", Nuclear Engineering and Design, Vol. 270, pp. 176-184. https://doi.org/10.1016/j.nucengdes.2013.12.051
  8. Norman, D. A.(1983), "Some observations on mental models", Mental models, Vol. 7(112), pp. 7-14.
  9. Park, D. J., Cho, C. .Y. and Yim, J. B..(2017), "A Research on the method of mariner's SRK Behaviors", Joint Conference 2017, KOSOMES, Mokpo, Korea, April 27-28, p. 59.
  10. Park, D. J.(2018), "A study on acquisition of SRK behavior distribution function for reducing marine accidnets caused by human error", Master thesis, Mokpo National Maritime University.
  11. Rasmussen, J.(1982), "Human errors. A taxonomy for describing human malfunction in industrial installations", Journal of occupational accidents, Vol. 4(2-4), pp. 311-333. https://doi.org/10.1016/0376-6349(82)90041-4
  12. Rasmussen, J.(1983), "Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models", IEEE transactions on systems, man, and cybernetics, Vol. 3, pp. 257-266.
  13. Reason, J.(1990), "Human Error", Cambridge University, New York, USA.
  14. Reason, J., Manstead, A., Stradling, S., Baxter, J. and Campbell, K.(1990), "Errors and violations on the roads: a real distinction?". Ergonomics, Vol. 33(10-11), pp. 1315-1332. https://doi.org/10.1080/00140139008925335
  15. Stanton, N. A., Salmon, P. M.(2009), "Human error taxonomies applied to driving: A generic driver error taxonomy and its implications for intelligent transport systems", Safety Science, Vol. 47(2), pp. 227-237. https://doi.org/10.1016/j.ssci.2008.03.006
  16. Yim, J. B., Yang, W. J. and Kim, H. T.(2014), "Marine Accident Analysis", Je-Il-Gi-Hwik, pp. 1-392.
  17. Yim, J. B.(2017a), "A Study on the Reduction of Common Words to Classify causes of Marine Accidents", Korean Institute of Navigation and Port Research, Vol. 41(3), pp. 109-117. https://doi.org/10.5394/KINPR.2017.41.3.109
  18. Yim, J. B.(2017b), "A Study on the Analysis and Identification of Seafarers' Skill-Rule-Knowledge Inherent in Maritime Accidents", KOSMES, Vol. 23(3), pp. 224-230.