Data sources for quantitative marine traffic accident modeling

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Ladan, Marina
dc.contributor.author Hänninen, Maria
dc.date.accessioned 2012-06-21T07:58:42Z
dc.date.available 2012-06-21T07:58:42Z
dc.date.issued 2012
dc.identifier.isbn 978-952-60-4599-3 (electronic)
dc.identifier.issn 1799-490X (electronic)
dc.identifier.issn 1799-4896 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/3641
dc.description.abstract Utilization of data in quantitative accident modeling is the main concern of this report. Various data sources exist in the maritime field on a global level, but the primary interest in this report are the data sources that cover the Gulf of Finland. Other databases are included for comparison purposes or when Finland does not maintain a similar database. Special attention is given to collision and grounding accidents, and to data useful in analyzing human and organizational factors. The analyzed data sources are divided into three categories: general ship traffic data, accident data, and incident data. The sources are analyzed considering following: (1) What type of data is collected and stored; (2) What is the quantity and the quality of the data; (3) Is data available to researchers and/or public; (4) Can data be utilized in quantitative accident modeling? It is found that the data sources differ in the scope and purpose and they all have their strengths and weaknesses. The existing sources are not perfect and using any of them as the only source of input to a quantitative model seems risky. This was also acknowledged by the participants of the workshops held at IMISS conference, who agreed that marine traffic accident and incident data collection and storing has to be improved in areas such as eliminating underreporting, differences in database taxonomies, and missing and erroneous data. As the improvement of data collection systems is a long term process, an alternative approach might be to improve the models for example by combining multiple sources of data and utilizing additional prior information. en
dc.format.extent 70+app.4
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series SCIENCE+TECHNOLOGY en
dc.relation.ispartofseries 11/2012
dc.subject.other Safety technology en
dc.subject.other Marine engineering en
dc.title Data sources for quantitative marine traffic accident modeling en
dc.type D4 Julkaistu kehittämis- tai tutkimusraportti tai -selvitys fi
dc.contributor.school Insinööritieteiden korkeakoulu fi
dc.contributor.school School of Engineering en
dc.contributor.department Sovelletun mekaniikan laitos fi
dc.contributor.department Department of Applied Mechanics en
dc.subject.keyword marine traffic safety en
dc.subject.keyword accident models en
dc.subject.keyword accident data en
dc.subject.keyword operational safety en
dc.identifier.urn URN:ISBN:978-952-60-4599-3
dc.type.dcmitype text en


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