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A critique of the use of domain analysis for spatial collision risk assessment

A critique of the use of domain analysis for spatial collision risk assessment
A critique of the use of domain analysis for spatial collision risk assessment
Predicting the likelihood of maritime accidents is hindered by the relative sparsity of collisions on which to develop risk models. Therefore, significant research has investigated the capability of non- accident situations, near misses and encounters between vessels as a surrogate indicator of collision risk. Whilst many studies have developed ship domain concepts, few have considered the practical considerations of implementing this method to characterise navigational risk between waterways and scenarios. In order to address this, within this paper we implement and evaluate the capability and validity of domain analysis to characterise and predict the likelihood of ship collisions. Our results suggest that the strength of the relationship between collisions and encounters is varied both between vessel types and the spatial scale of assessment. In addition, we demonstrate some key practical considerations in utilising domain analysis to predict the change in collision risk, through a hypothetical wind farm. The outcomes of this study provide research direction for practical applications of domain analysis on collision risk assessments.
Automatic Identification System (AIS), Collision Risk Assessment, Ship domain
0029-8018
Rawson, Andrew David
2f5d38d7-f4c9-45f5-a8de-c7f91b8f68c7
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Rawson, Andrew David
2f5d38d7-f4c9-45f5-a8de-c7f91b8f68c7
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c

Rawson, Andrew David and Brito, Mario (2021) A critique of the use of domain analysis for spatial collision risk assessment. Ocean Engineering, 219, [108259]. (doi:10.1016/j.oceaneng.2020.108259).

Record type: Article

Abstract

Predicting the likelihood of maritime accidents is hindered by the relative sparsity of collisions on which to develop risk models. Therefore, significant research has investigated the capability of non- accident situations, near misses and encounters between vessels as a surrogate indicator of collision risk. Whilst many studies have developed ship domain concepts, few have considered the practical considerations of implementing this method to characterise navigational risk between waterways and scenarios. In order to address this, within this paper we implement and evaluate the capability and validity of domain analysis to characterise and predict the likelihood of ship collisions. Our results suggest that the strength of the relationship between collisions and encounters is varied both between vessel types and the spatial scale of assessment. In addition, we demonstrate some key practical considerations in utilising domain analysis to predict the change in collision risk, through a hypothetical wind farm. The outcomes of this study provide research direction for practical applications of domain analysis on collision risk assessments.

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Accepted/In Press date: 18 October 2020
e-pub ahead of print date: 28 October 2020
Published date: 1 January 2021
Keywords: Automatic Identification System (AIS), Collision Risk Assessment, Ship domain

Identifiers

Local EPrints ID: 444642
URI: http://eprints.soton.ac.uk/id/eprint/444642
ISSN: 0029-8018
PURE UUID: 1137b17d-525f-47c3-89f2-d75c5b2835dc
ORCID for Andrew David Rawson: ORCID iD orcid.org/0000-0002-8774-2415
ORCID for Mario Brito: ORCID iD orcid.org/0000-0002-1779-4535

Catalogue record

Date deposited: 28 Oct 2020 17:30
Last modified: 09 Jan 2022 04:05

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Contributors

Author: Andrew David Rawson ORCID iD
Author: Mario Brito ORCID iD

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