prikaz prve stranice dokumenta A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept
  Download
PDF 4.03 MB
Scientific paper - Preliminary note / Short communication
A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept
Pomorstvo, 37 (2023), 1; 140-150. https://doi.org/10.31217/p.37.1.11
Musulin, Mario; Kero, Grgo; Musulin, Hrvoje Nenad; Brčić, David

Cite this document

Musulin, M., Kero, G., Musulin, H. N. & Brčić, D. (2023). A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept. Pomorstvo, 37. (1), 140-150. doi: 10.31217/p.37.1.11

Musulin, Mario, et al. "A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept." Pomorstvo, vol. 37, no. 1, 2023, pp. 140-150. https://doi.org/10.31217/p.37.1.11

Musulin, Mario, Grgo Kero, Hrvoje Nenad Musulin and David Brčić. "A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept." Pomorstvo 37, no. 1 (2023): 140-150. https://doi.org/10.31217/p.37.1.11

Musulin, M., et al. (2023) 'A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept', Pomorstvo, 37(1), pp. 140-150. doi: 10.31217/p.37.1.11

Musulin M, Kero G, Musulin HN, Brčić D. A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept. Pomorstvo [Internet]. 2023 [cited 2024 July 11];37(1):140-150. doi: 10.31217/p.37.1.11

M. Musulin, G. Kero, H. N. Musulin and D. Brčić, "A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept", Pomorstvo, vol. 37, no. 1, pp. 140-150, 2023. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:064518. [Accessed: 11 July 2024]

Please login to the repository to save this object to your list.
Metadata
Title (english)A Port Entry Risk Assessment Model Based on Bayesian Networks and Elements of the e-Navigation Concept
AuthorMario Musulin https://orcid.org/0000-0002-6638-8285
AuthorGrgo Kero
AuthorHrvoje Nenad Musulin
AuthorDavid Brčić
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
Most maritime accidents are caused by human error. To reduce these errors, increase safety, protect the marine environment, reduce the administrative burden, and optimize maritime trade, the International Maritime Organization (IMO) decided to implement a concept called e-Navigation. The term e-Navigation refers to the integration of the most modern information and communication systems, both on board and ashore. The research scope of this work is the safety of navigation of the ship during the port entrance. Particularly in this case, the elements that affect the safety of the ship during port entrance are analyzed in a case study of New York port. An adaptive model based on the Bayesian Belief Network (BBN) was created, which evaluates the decision-making elements and risk assessment for port entry. The model is adaptable in the context of the different port requirements. With the presented model, all entities (ships, shipping companies, and service providers) have insight into the estimated decision to enter the port based on the given elements. Further research needs to be continued on the issue of comparing the proposed model with similar models, and how much reliance on the model burdens or facilitates the Master’s decision.
Keywords (english)
Languageenglish
Publication typeScientific paper - Preliminary note / Short communication
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorstvo
Numberingvol. 37, no. 1, pp. 140-150
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.37.1.11
URN:NBNurn:nbn:hr:187:064518
Publication2023
Document URLhttps://hrcak.srce.hr/304311
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-07-27 07:59:46