| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ntanos, Stamatios | - |
| dc.contributor.author | Chalikias, Miltiadis | - |
| dc.contributor.author | Milioris, Konstantinos | - |
| dc.contributor.author | Sidiropoulos, Georgios | - |
| dc.date.accessioned | 2024-04-09T13:43:19Z | - |
| dc.date.available | 2024-04-09T13:43:19Z | - |
| dc.date.issued | 2015-05 | - |
| dc.identifier | google_scholar-OWQyHxcAAAAJ:3fE2CSJIrl8C | - |
| dc.identifier.isbn | 978-960-98739-6-3 | - |
| dc.identifier.issn | 1791-8499 | - |
| dc.identifier.other | OWQyHxcAAAAJ:3fE2CSJIrl8C | - |
| dc.identifier.uri | https://uniwacris.uniwa.gr/handle/3000/1897 | - |
| dc.description.abstract | According to several studies, the quantification of risk existing in maritime transportation can be estimated by using accident statistics. Analysis of accident statistics can reveal how different types of ships are susceptible to different kind of casualties. In the current paper an analysis on ship accidents is performed by using a database created from data of Ministry of Shipping and the Aegean, Directorate of Ship Safety. The database includes over 1000 recorded accident cases in ships under Greek flag, with size over 1000 grt, covering a period from 1974 to 2010. We use descriptive statistics to have an overview on main accident data. We then perform a hypothesis test to investigate the relation between the ship type variable and a) accident responsibility, b) accident outcome c) accident area. Moreover we test the relation of ship age and a total loss event. The analysis of main maritime accident variables can assist decision making and promote maritime safety. | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartof | Proceedings of the 4th International Conference in Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (I.C.Q.Q.M.E.A.S. 2015) | en_US |
| dc.source | ICQMEAS 2015 Proceedings 1, 261-270, 2015 | - |
| dc.subject | Greek fleet | en_US |
| dc.subject | Ship accidents | en_US |
| dc.subject | Total loss | en_US |
| dc.title | Data analysis on maritime accidents over 1000 grt: the case of Greece | en_US |
| dc.type | Conference Paper | en_US |
| dc.relation.conference | 4th International Conference in Quantitative and Qualitative Methodologies in the Economic and Administrative Sciences (I.C.Q.Q.M.E.A.S. 2015), 21-22 May 2015, Athens | en_US |
| dc.relation.dept | Department of Business Administration | en_US |
| dc.relation.faculty | School of Administrative, Economics and Social Sciences | en_US |
| dc.relation.volume | 1 | en_US |
| dc.identifier.spage | 261 | en_US |
| dc.identifier.epage | 270 | en_US |
| dc.link | http://econferences.teiath.gr/public/proceedings/proceedings_1.pdf | en_US |
| dc.collaboration | University of West Attica (UNIWA) | en_US |
| dc.journals | Open Access | en_US |
| dc.publication | Peer Reviewed | en_US |
| dc.country | Greece | en_US |
| local.metadatastatus | verified | en_US |
| item.cerifentitytype | Publications | - |
| item.languageiso639-1 | en | - |
| item.openairetype | Conference Paper | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| crisitem.author.dept | Department of Business Administration | - |
| crisitem.author.faculty | School of Administrative, Economics and Social Sciences | - |
| crisitem.author.parentorg | School of Administrative, Economics and Social Sciences | - |
| Appears in Collections: | Book Chapter / Κεφάλαιο Βιβλίου | |
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