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Big Data Management in Maritime Transport
Pomorski zbornik, 57 (2019), 1; 123-141. https://doi.org/10.18048/2019.57.09.
Jović, Marija; Tijan, Edvard; Marx, Rebecca; Gebhard, Berit

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Jović, M., Tijan, E., Marx, R. & Gebhard, B. (2019). Big Data Management in Maritime Transport. Pomorski zbornik, 57. (1), 123-141. doi: 10.18048/2019.57.09.

Jović, Marija, et al. "Big Data Management in Maritime Transport." Pomorski zbornik, vol. 57, no. 1, 2019, pp. 123-141. https://doi.org/10.18048/2019.57.09.

Jović, Marija, Edvard Tijan, Rebecca Marx and Berit Gebhard. "Big Data Management in Maritime Transport." Pomorski zbornik 57, no. 1 (2019): 123-141. https://doi.org/10.18048/2019.57.09.

Jović, M., et al. (2019) 'Big Data Management in Maritime Transport', Pomorski zbornik, 57(1), pp. 123-141. doi: 10.18048/2019.57.09.

Jović M, Tijan E, Marx R, Gebhard B. Big Data Management in Maritime Transport. Pomorski zbornik [Internet]. 2019 [cited 2024 April 11];57(1):123-141. doi: 10.18048/2019.57.09.

M. Jović, E. Tijan, R. Marx and B. Gebhard, "Big Data Management in Maritime Transport", Pomorski zbornik, vol. 57, no. 1, pp. 123-141, 2019. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:187:034152. [Accessed: 11 April 2024]

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Metadata
Title (english)Big Data Management in Maritime Transport
AuthorMarija Jović https://orcid.org/0000-0002-9971-1579
AuthorEdvard Tijan
AuthorRebecca Marx
AuthorBerit Gebhard
Author's institutionUniversity of Rijeka
Faculty of Maritime Studies, Rijeka
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Traffic and Transport Technology
Abstract (english)
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.
Keywords (english)
Languageenglish
Publication typeOther - Other
Publication statusPublished
Peer reviewPeer review
Publication versionPublished version
Journal titlePomorski zbornik
Numberingvol. 57, no. 1, pp. 123-141
p-ISSN0554-6397
e-ISSN1848-9052
DOIhttps://doi.org/10.18048/2019.57.09.
URN:NBNurn:nbn:hr:187:034152
Publication2019
Document URLhttps://hrcak.srce.hr/232669
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-03-09 13:34:04