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Pregledni rad
https://doi.org/10.18048/2019.57.09.

Big Data Management in Maritime Transport

Marija Jović   ORCID icon orcid.org/0000-0002-9971-1579 ; University of Rijeka, Faculty of Maritime Studies
Edvard Tijan   ORCID icon orcid.org/0000-0002-7642-0496 ; University of Rijeka, Faculty of Maritime Studies
Rebecca Marx ; Hochschule Wismar, Fakultät für Wirtschaftswissenschaften
Berit Gebhard ; Jade Hochschule Wilhelmshaven/Oldenburg/ Elsfleth, Fachbereich Seefahrt und Logistik

Puni tekst: engleski, pdf (630 KB) str. 123-141 preuzimanja: 62* citiraj
APA 6th Edition
Jović, M., Tijan, E., Marx, R. i Gebhard, B. (2019). Big Data Management in Maritime Transport . Pomorski zbornik, 57 (1), 123-141. https://doi.org/10.18048/2019.57.09.
MLA 8th Edition
Jović, Marija, et al. "Big Data Management in Maritime Transport ." Pomorski zbornik, vol. 57, br. 1, 2019, str. 123-141. https://doi.org/10.18048/2019.57.09.. Citirano 31.05.2020.
Chicago 17th Edition
Jović, Marija, Edvard Tijan, Rebecca Marx i Berit Gebhard. "Big Data Management in Maritime Transport ." Pomorski zbornik 57, br. 1 (2019): 123-141. https://doi.org/10.18048/2019.57.09.
Harvard
Jović, M., et al. (2019). 'Big Data Management in Maritime Transport ', Pomorski zbornik, 57(1), str. 123-141. https://doi.org/10.18048/2019.57.09.
Vancouver
Jović M, Tijan E, Marx R, Gebhard B. Big Data Management in Maritime Transport . Pomorski zbornik [Internet]. 2019 [pristupljeno 31.05.2020.];57(1):123-141. https://doi.org/10.18048/2019.57.09.
IEEE
M. Jović, E. Tijan, R. Marx i B. Gebhard, "Big Data Management in Maritime Transport ", Pomorski zbornik, vol.57, br. 1, str. 123-141, 2019. [Online]. https://doi.org/10.18048/2019.57.09.

Sažetak
As maritime transport produces a large amount of data from various sources and in different formats, authors have analysed current applications of Big Data by researching global applications and experiences and by studying journal and conference articles. Big Data innovations in maritime transport (both cargo and passenger) are demonstrated, mainly in the fields of seaport operations, weather routing, monitoring/tracking and security. After the analysis, the authors have concluded that Big Data analyses can provide deep understanding of causalities and correlations in maritime transport, thus improving decision making. However, there exist major challenges of an efficient data collection and processing in maritime transport, such as technology challenges, challenges due to competitive conditions etc. Finally, the authors provide a future perspective of Big Data usage in maritime transport.

Ključne riječi
Big Data Management; Big Data Analysis; Maritime Transport; Shipping Safety; Energy Efficiency

Hrčak ID: 232669

URI
https://hrcak.srce.hr/232669

Posjeta: 131 *