Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90710
DC FieldValueLanguage
dc.contributorDepartment of Logistics and Maritime Studiesen_US
dc.creatorYang, Den_US
dc.creatorWu, LXen_US
dc.creatorWang, SAen_US
dc.date.accessioned2021-08-25T01:10:17Z-
dc.date.available2021-08-25T01:10:17Z-
dc.identifier.issn1366-5545en_US
dc.identifier.urihttp://hdl.handle.net/10397/90710-
dc.language.isoenen_US
dc.publisherPergamon Pressen_US
dc.subjectShipping managementen_US
dc.subjectDiscrete choice modelen_US
dc.subjectAIS dataen_US
dc.subjectData miningen_US
dc.titleCan we trust the AIS destination port information for bulk ships?-Implications for shipping policy and practiceen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume149en_US
dc.identifier.doi10.1016/j.tre.2021.102308en_US
dcterms.abstractThe Automatic Identification System (AIS) is a shipping database that includes the physical characteristics and real-time dynamics of ships. It has attracted great attention from academia recently and has been broadly applied in solving various problems in different fields. The voyage destination report is a piece of information recorded in AIS that indicates the heading port in a ship’s voyage. This information is widely referred to by port operators for traffic estimation, and by shipping traders for supply forecasting, etc. However, we find that a considerable proportion (nearly 40%) of this information has been erroneously entered, both intentionally and unintentionally.en_US
dcterms.abstractIn this paper, we aim to propose targeted policies to correct the inaccurate reports based on assessing the probability of observing wrong destination port reports of ships in AIS. To this end, we first of all conduct extensive interviews with relevant shipping stakeholders to understand the reasons behind the wrong destination reports. Second, based on the interviews and relevant literature we propose the influence factors. Third, we generate a data sample set based on the voyages performed by Capesize and Panamax bulk ships around the globe in a year. To generate this sample set, we leverage data mining techniques to extract the information from an AIS database and other databases. Finally, a discrete choice model is built to achieve the proposed objective.en_US
dcterms.abstractThe results demonstrate that our model has an 84.1% accuracy rate in ascertaining the correctness of destination reports observed in AIS. We also find that, for a voyage, the speed of the ship, the historical accuracy rate of destination reports made by the ship, and the distance between the recognized origin and the reported destination of the voyage, have the most significant impacts on the accuracy of the destination report. Based on the findings, we provide managerial and policy suggestions to ship operators, port authorities, and regulators.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationTransportation research. Part E, Logistics and transportation review, May 2021, v. 149, 102308en_US
dcterms.isPartOfTransportation research. Part E, Logistics and transportation reviewen_US
dcterms.issued2021-05-
dc.identifier.isiWOS:000670306600018-
dc.identifier.eissn1878-5794en_US
dc.identifier.artn102308en_US
dc.description.validate202108 bcwhen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera1011-n05-
dc.identifier.SubFormID2429-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNSFC/RGC Joint Research Scheme under grant numbers N_PolyU531/16 and 71661167009en_US
dc.description.pubStatusPublisheden_US
dc.date.embargo2024-05-31en_US
Appears in Collections:Journal/Magazine Article
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Embargo End Date 2024-05-31
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