Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98263
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dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorYang, Den_US
dc.creatorWu, Len_US
dc.creatorWang, Sen_US
dc.creatorJia, Hen_US
dc.creatorLi, KXen_US
dc.date.accessioned2023-04-27T01:04:21Z-
dc.date.available2023-04-27T01:04:21Z-
dc.identifier.issn0144-1647en_US
dc.identifier.urihttp://hdl.handle.net/10397/98263-
dc.language.isoenen_US
dc.publisherRoutledge, Taylor & Francis Groupen_US
dc.rights© 2019 Informa UK Limited, trading as Taylor & Francis Groupen_US
dc.rightsThis is an Accepted Manuscript of an article published by Taylor & Francis in Transport Reviews on 28 Jul 2019 (published online), available at: http://www.tandfonline.com/10.1080/01441647.2019.1649315.en_US
dc.subjectAdvanced applications of AIS dataen_US
dc.subjectAIS dataen_US
dc.subjectData miningen_US
dc.subjectEnvironmental evaluationen_US
dc.subjectNavigation safetyen_US
dc.subjectShip behaviour analysisen_US
dc.titleHow big data enriches maritime research – a critical review of Automatic Identification System (AIS) data applicationsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage755en_US
dc.identifier.epage773en_US
dc.identifier.volume39en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1080/01441647.2019.1649315en_US
dcterms.abstractThe information-rich vessel movement data provided by the Automatic Identification System (AIS) has gained much popularity over the past decade, during which the employment of satellite-based receivers has enabled wide coverage and improved data quality. The application of AIS data has developed from simply navigation-oriented research to now include trade flow estimation, emission accounting, and vessel performance monitoring. The AIS now provides high frequency, real-time positioning and sailing patterns for almost the whole world's commercial fleet, and therefore, in combination with supplementary databases and analyses, AIS data has arguably kickstarted the era of digitisation in the shipping industry. In this study, we conduct a comprehensive review of the literature regarding AIS applications by dividing it into three development stages, namely, basic application, extended application, and advanced application. Each stage contains two to three application fields, and in total we identified seven application fields, including (1) AIS data mining, (2) navigation safety, (3) ship behaviour analysis, (4) environmental evaluation, (5) trade analysis, (6) ship and port performance, and (7) Arctic shipping. We found that the original application of AIS data to navigation safety has, with the improvement of data accessibility, evolved into diverse applications in various directions. Moreover, we summarised the major methodologies in the literature into four categories, these being (1) data processing and mining, (2) index measurement, (3) causality analysis, and (4) operational research. Undoubtedly, the applications of AIS data will be further expanded in the foreseeable future. This will not only provide a more comprehensive understanding of voyage performance and allow researchers to examine shipping market dynamics from the micro level, but also the abundance of AIS data may also open up the rather opaque aspect of how shipping companies release information to external authorities, including the International Maritime Organization, port states, scientists and researchers. It is expected that more multi-disciplinary AIS studies will emerge in the coming years. We believe that this study will shed further light on the future development of AIS studies.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationTransport reviews, 2019, v. 39, no. 6, p. 755-773en_US
dcterms.isPartOfTransport reviewsen_US
dcterms.issued2019-
dc.identifier.scopus2-s2.0-85072138563-
dc.identifier.eissn1464-5327en_US
dc.description.validate202304 bckwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberLMS-0170-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS24390707-
dc.description.oaCategoryGreen (AAM)en_US
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