prikaz prve stranice dokumenta Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port
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Scientific paper - Preliminary note / Short communication
Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port
Pomorstvo, 34 (2020), 2; 363-375. https://doi.org/10.31217/p.34.2.17
Mišura, Antonija; Stanivuk, Tatjana; Šoda, Joško; Jugović, Alen

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Mišura, A., Stanivuk, T., Šoda, J. & Jugović, A. (2020). Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port. Pomorstvo, 34. (2), 363-375. doi: 10.31217/p.34.2.17

Mišura, Antonija, et al. "Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port." Pomorstvo, vol. 34, no. 2, 2020, pp. 363-375. https://doi.org/10.31217/p.34.2.17

Mišura, Antonija, Tatjana Stanivuk, Joško Šoda and Alen Jugović. "Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port." Pomorstvo 34, no. 2 (2020): 363-375. https://doi.org/10.31217/p.34.2.17

Mišura, A., et al. (2020) 'Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port', Pomorstvo, 34(2), pp. 363-375. doi: 10.31217/p.34.2.17

Mišura A, Stanivuk T, Šoda J, Jugović A. Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port. Pomorstvo [Internet]. 2020 December [cited 2024 June 16];34(2):363-375. doi: 10.31217/p.34.2.17

A. Mišura, T. Stanivuk, J. Šoda and A. Jugović, "Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port", Pomorstvo, vol. 34, no. 2, pp. 363-375, December 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:759282. [Accessed: 16 June 2024]

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Metadata
Title (english)Model of short-term forecasting liner maritime transport in the port system: A case study for Split City port
AuthorAntonija Mišura
AuthorTatjana Stanivuk
AuthorJoško Šoda https://orcid.org/0000-0002-5825-8026
AuthorAlen Jugović https://orcid.org/0000-0001-5031-4655
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Author's institutionUniversity of Split
Faculty of Maritime Studies
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
One of the preconditions for good quality management of seaports is forecasting the traffic according to the number of passengers and the number of vehicles; in this way it is possible to plan and prepare activities for the smooth operation of the ports. This paper researches the port system as part of the coastal liner maritime transport. The set hypothesis is that the model of forecasting the traffic could be presented as a function of two variables. The Principal Component Analysis (PCA) method is used to select the forecasting parameters. Based on the choice of parameters, using the Least Squares Method (LSM), the trend analysis is performed to choose the forecasting functions for maritime liner transport on the example of the Split City port. The statistical analysis on the choosed forecasting model using the coefficient of determination r2 and adjusted r2 model is performed to confirm the choice.
Keywords (english)
Languageenglish
Publication typeScientific paper - Preliminary note / Short communication
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorstvo
Numberingvol. 34, no. 2, pp. 363-375
p-ISSN1332-0718
e-ISSN1846-8438
DOIhttps://doi.org/10.31217/p.34.2.17
URN:NBNurn:nbn:hr:187:759282
Publication2020-12
Document URLhttps://hrcak.srce.hr/247803
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-02-28 16:12:05