Event Risk Classification Method for Pollution Preparedness and Response

Mikko Laine, Osiris Valdez Banda, Floris Goerlandt

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

Despite the increased focus on maritime safety, the risk of accidental oil spills remains a cause of concern in Europe and worldwide. In order to manage this issue, risk assessments are used for informing decision makers about the uncertainties that can effect to the occurrence of such spills. This paper focuses on the risk identification stage in context of Pollution Preparedness and Response risk management. This stage of the risk assessment process is critical, because a risk that is not identified will not be included in further analysis nor communicated to the decision makers. First, this paper describes a recently developed maritime application of the Event Risk Classification Method (ERC-M), which has a strong track record in different airlines companies. Second, the paper provides a case study, which is a practical demonstration of this ERC-M tool by using Vessel Traffic Service incident reports as a data source. © 2020 Taylor and Francis Group, London.
Original languageEnglish
Title of host publicationDevelopments in the Collision and Grounding of Ships and Offshore Structures
EditorsCarlos Guedes Soares
Pages347-354
ISBN (Electronic)9781003002420
Publication statusPublished - 2020
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Collision and Grounding of Ships and Offshore Structures - Lisbon, Portugal
Duration: 21 Oct 201923 Oct 2019
Conference number: 8

Publication series

NameProceedings in Marine Technology and Ocean Engineering
PublisherCRC Press Taylor & Francis Group, A BALKEMA BOOK
Volume4
ISSN (Print)2638-647X
ISSN (Electronic)2638-6461

Conference

ConferenceInternational Conference on Collision and Grounding of Ships and Offshore Structures
Abbreviated titleICCGS
CountryPortugal
CityLisbon
Period21/10/201923/10/2019

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