Investigating Real Ship Accidents with Descriptive Analysis in Turkey
Authors: İsmail Karaca, Ömer Söner
Abstract:
The use of advanced methods has been increasing day by day in the maritime sector, which is one of the sectors least affected by the COVID-19 pandemic. It is aimed to minimize accidents, especially by using advanced methods in the investigation of marine accidents. This research aimed to conduct an exploratory statistical analysis of particular ship accidents in the Transport Safety Investigation Center of Turkey database. 46 ship accidents, which occurred between 2010-2018, have been selected from the database. In addition to the availability of a reliable and comprehensive database, taking advantage of the robust statistical models for investigation is critical to improving the safety of ships. Thus, descriptive analysis has been used in the research to identify causes and conditional factors related to different types of ship accidents. The research outcomes underline the fact that environmental factors and day and night ratio have great influence on ship safety.
Keywords: Descriptive analysis, maritime industry, maritime safety, marine accident analysis.
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[1] IMO, Coronavirus (COVID-19) – Recommended framework of protocols for ensuring safe ship crew changes and travel during the coronavirus (COVID-19) pandemic Circular Letter, 5 May 2020, 2020.
[2] O. Ugurlu, E. Kose, U. Yildirim, E. Yuksekyildiz, Marine accident analysis for collision and grounding in oil tanker using FTA method, Marit. Policy Manag. 42(2) (2015) 163-185.
[3] E. Akyuz, A marine accident analysing model to evaluate potential operational causes in cargo ships, Saf. Sci. 92 (2017) 17-25.
[4] S.G. Xiong, H.L. Long, G.P. Tang, J. Wan, H.Y. Li, The management in response to marine oil spill from ships in China: A systematic review, Mar. Pollut. Bull. 96(1-2) (2015) 7-17.
[5] R.R. Pagano, Understanding statistics in the behavioral sciences, Cengage Learning2012.
[6] F. Haneem, N. Kama, R. Ali, S. Basri, Ieee, Descriptive Analysis and Text Analysis in Systematic Literature Review: A review of Master Data Management, 2017 5th International Conference on Research and Innovation in Information Systems, Ieee, New York, 2017.
[7] M. Meilgaard, G.V. Civille, B.T. Carr, M.C. Meilgaard, G.V. Civille, B.T. Carr, Descriptive Analysis Techniques, Crc Press-Taylor & Francis Group, Boca Raton, 2016.
[8] M. Hollifield, T.D. Warner, N. Lian, B. Krakow, J.H. Jenkins, J. Kesler, J. Stevenson, J. Westermeyer, Measuring trauma and health status in refugees - A critical review, JAMA-J. Am. Med. Assoc. 288(5) (2002) 611-621.
[9] D.Z. Grunspan, B.L. Wiggins, S. Goodreau, Understanding Classrooms through Social Network Analysis: A Primer for Social Network Analysis in Education Research, CBE-Life Sci. Educ. 13(2) (2014) 167-178.
[10] S. Nazir, K.I. Øvergård, Z. Yang, Towards Effective Training for Process and Maritime Industries, Procedia Manufacturing 3 (2015) 1519-1526.
[11] C. Chauvin, S. Lardjane, G. Morel, J.P. Clostermann, B. Langard, Human and organisational factors in maritime accidents: Analysis of collisions at sea using the HFACS, Accid. Anal. Prev. 59 (2013) 26-37.
[12] M. Celik, S. Cebi, Analytical HFACS for investigating human errors in shipping accidents, Accid. Anal. Prev. 41(1) (2009) 66-75.
[13] A. Toffoli, J.M. Lefèvre, E. Bitner-Gregersen, J. Monbaliu, Towards the identification of warning criteria: Analysis of a ship accident database, Applied Ocean Research 27(6) (2005) 281-291.
[14] F. Goerlandt, J. Montewka, Maritime transportation risk analysis: Review and analysis in light of some foundational issues, Reliability Engineering & System Safety 138 (2015) 115-134.
[15] T.G. Fowler, E. Sorgard, Modeling ship transportation risk, Risk Anal. 20(2) (2000) 225-244.
[16] K. Pointer, G.S. Milligan, K.L. Garratt, S.P. Clark, M.J. Tipton, A 10-year descriptive analysis of UK Maritime and Coastguard data on lifejacket use and drowning prevention, Saf. Sci. 109 (2018) 195-200.
[17] A. Chabrier, S. Atkinson, D. Lebel, J.F. Bussieres, Descriptive analysis of drug incidents and accidents from 2011 to 2018 in a hospital center, Can. J. Hosp. Pharm. 72(1) (2019) 80-80.
[18] L. Wundersitz, S. Raftery, Understanding the context of alcohol impaired driving for fatal crash-involved drivers: A descriptive case analysis, Traffic Inj. Prev. 18(8) (2017) 781-787.
[19] P.W. Physick-Sheard, A. Avison, E. Chappell, M. MacIver, Ontario Racehorse Death Registry, 2003-2015: Descriptive analysis and rates of mortality, Equine Vet. J. 51(1) (2019) 64-76.
[20] L. Bunketorp, L. Nordholm, J. Carlsson, A descriptive analysis of disorders in patients 17 years following motor vehicle accidents, Eur. Spine J. 11(3) (2002) 227-234.
[21] S.G. Brandl, In the line of duty: A descriptive analysis of police assaults and accidents, J. Crim. Justice 24(3) (1996) 255-264.
[22] F. Babic, A. Lukacova, J. Paralic, Descriptive and Predictive Analyses of Data Representing Aviation Accidents, in: A. Zgrzywa, K. Choros, A. Sieminski (Eds.), New Research in Multimedia and Internet Systems, Springer-Verlag Berlin, Berlin, 2015, pp. 181-190.
[23] E. Bal, O. Arslan, L. Tavacioglu, Prioritization of the causal factors of fatigue in seafarers and measurement of fatigue with the application of the Lactate Test, Saf. Sci. 72 (2015) 46-54.
[24] C. Chauvin, J.-P. Clostermann, J.-M. Hoc, Impact of training programs on decision-making and situation awareness of trainee watch officers, Saf. Sci. 47(9) (2009) 1222-1231.
[25] E. Akyuz, H. Karahalios, M. Celik, Assessment of the maritime labour convention compliance using balanced scorecard and analytic hierarchy process approach, Marit. Policy Manag. 42(2) (2015) 145-162.
[26] H. Kim, J.H. Park, D. Lee, Y.S. Yang, Establishing the methodologies for human evacuation simulation in marine accidents, Comput. Ind. Eng. 46(4) (2004) 725-740.
[27] J.X. Weng, D. Yang, T. Qian, Z. Huang, Combining zero-inflated negative binomial regression with MLRT techniques: An approach to evaluating shipping accident casualties, Ocean Engineering 166 (2018) 135-144.
[28] A. Malik, N. Zafar, Applications of Simulation Technology - Pitfalls and Challenges, TransNav 9(3) (2015) 391-396.