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Risk of an accident is an ever-present component in the maritime transportation process, especially in congested waters such as port areas. Since safety is of crucial importance in the maritime industry, different models of risk assessments were developed to ensure minimal navigational danger. The aim of this paper is the development of modular, dynamic sets of parameters, applicable for future risk assessment models on port approaches by introducing top-down expert appraisal structure methodology organised in three steps. Firstly, approaches and criteria from relevant international recommendations and scientific studies on maritime risk assessment models were analysed and compared, in order to obtain general categories of navigational safety parameters. Secondly, existing risk assessment parameters were structured and combined into new dynamic sets. In the third step, these dynamic sets of parameters were selected, and numerical values were assigned to them according to the specific context of the port. Finally, this top-down methodology aims to provide relevant dynamic sets of criteria for navigational safety risk assessment development that are flexible and widely applicable for the needs and characteristics of different ports.
Rocznik
Tom
Strony
365--372
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
- Maritime University in Split, Split, Croatia
autor
- Maritime University in Split, Split, Croatia
autor
- Maritime University in Split, Split, Croatia
autor
- Maritime University in Split, Split, Croatia
Bibliografia
- 1. Balmat, J.-F., Lafont, F., Maifret, R., Pessel, N.: A decision-making system to maritime risk assessment. Ocean Engineering. 38, 1, 171–176 (2011). https://doi.org/10.1016/j.oceaneng.2010.10.012.
- 2. Belamarić, G., Kurtela, Ž., Bošnjak, R.: Simulation Method - Based Oil Spill Pollution Risk Analysis for the Port of Šibenik. Trans. Marit. Sci. 5, 2, 141–154 (2016). https://doi.org/10.7225/toms.v05.n02.005.
- 3. Bellsolà Olba, X., Daamen, W., Vellinga, T., Hoogendoorn, S.P.: Risk Assessment Methodology for Vessel Traffic in Ports by Defining the Nautical Port Risk Index. Journal of Marine Science and Engineering. 8, 1, (2020). https://doi.org/10.3390/jmse8010010.
- 4. Croatian Hydrographic Institute: Peljar I. Jadransko more- istočna obala. (1999).
- 5. International Maritime Organization: Revised Guidelines for Formal Safety Assessment (FSA) for Use in the IMO Rule-Making Process. , London, UK (2018).
- 6. Kao, S.-L., Lin, J.-L., Tu, M.-R.: Utilizing the fuzzy IoT to reduce Green Harbor emissions. Journal of Ambient Intelligence and Humanized Computing. (2020). https://doi.org/10.1007/s12652-020-01844-z.
- 7. Li, M., Mou, J., Liu, R., Chen, P., Dong, Z., He, Y.: Relational Model of Accidents and Vessel Traffic Using AIS Data and GIS: A Case Study of the Western Port of Shenzhen City. Journal of Marine Science and Engineering. 7, 6, (2019). https://doi.org/10.3390/jmse7060163.
- 8. Park, Y.-S., Kim, J.-S., Aydogdu, V.: A Study on the Development the Maritime Safety Assessment Model in Korea Waterway. Journal of Navigation and Port Research. 37, 6, 567–574 (2013). https://doi.org/10.5394/KINPR.2013.37.6.567.
- 9. Pianc: MarCom WG 121: Harbour Approach Channels - Design Guidelines…, https://www.pianc.org/publications/marcom/harbourapproach-channels-design-guidelines, last accessed 2021/04/26.
- 10. Szymoński, M.: Some Effects of Wind on Ship’s Manoeuvrability. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation. 13, 3, 623–626 (2019). https://doi.org/10.12716/1001.13.03.19.
- 11. Trbojevic, V.M., Carr, B.J.: Risk based methodology for safety improvements in ports. Journal of Hazardous Materials. 71, 1, 467–480 (2000). https://doi.org/10.1016/S0304-3894(99)00094-1.
- 12. United Kingdom Hydrographic Office: Admiralty sailing direction Mediterranean Pilot Volume 3, NP 47. (2014).
- 13. United Nations Conference on Trade and Development (UNCTAD): The Review of Maritime Transport 2020. , United Nations Publications 300 East 42nd Street New York, New York 10017 United States of America (2020).
- 14. Zadeh, L.A.: Fuzzy sets. Information and Control. 8, 3, 338–353 (1965). https://doi.org/10.1016/S00199958(65)90241-X.
- 15. Zec, D., Frančić, V., Rudan, I., Maglić, L., Lušić, Z., Ðurđević-Tomaš, I., Brajović, M., Vukić, M.: Prometnoplovidbena studija plovno područje Split, Ploče i Dubrovnik. Faculty of Maritime Studies of the University of Rijeka (2014).
- 16. IALA AISM, https://www.iala-aism.org/, last accessed 2021/03/19.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
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