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Spatial challenges of maritime risk analysis using big data

Spatial challenges of maritime risk analysis using big data
Spatial challenges of maritime risk analysis using big data
The establishment of incident rates, the number of accidents per unit measurement, can be used to characterise and compare navigational safety between areas. Whilst there are a multitude of factors which influence these rates, such an approach assumes some relationship between traffic volume and incidents. This paper characterises the incident rates across the United Kingdom at different scales of resolution. The results suggest that maritime risk analysis is significantly influenced by the scale effect of the Modifiable Areal Unit Problem. In particular, the chosen spatial resolution has a significant effect on the strength of the relationship. This paper presents the Discrete Global Grid System as a possible method for more effective big data analysis of maritime risk to address these challenges.
275-283
CRC Press / Balkema
Rawson, Andrew, David
2f5d38d7-f4c9-45f5-a8de-c7f91b8f68c7
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Soares, C. Guedes
Rawson, Andrew, David
2f5d38d7-f4c9-45f5-a8de-c7f91b8f68c7
Sabeur, Zoheir
74b55ff0-94cc-4624-84d5-bb816a7c9be6
Correndo, Gianluca
fea0843a-6d4a-4136-8784-0d023fcde3e2
Soares, C. Guedes

Rawson, Andrew, David, Sabeur, Zoheir and Correndo, Gianluca (2019) Spatial challenges of maritime risk analysis using big data. Soares, C. Guedes (ed.) In Proceedings of the 8th International Conference on Collision and Grounding of Ships and Offshore Structures (ICCGS 2019). vol. 4, CRC Press / Balkema. pp. 275-283 .

Record type: Conference or Workshop Item (Paper)

Abstract

The establishment of incident rates, the number of accidents per unit measurement, can be used to characterise and compare navigational safety between areas. Whilst there are a multitude of factors which influence these rates, such an approach assumes some relationship between traffic volume and incidents. This paper characterises the incident rates across the United Kingdom at different scales of resolution. The results suggest that maritime risk analysis is significantly influenced by the scale effect of the Modifiable Areal Unit Problem. In particular, the chosen spatial resolution has a significant effect on the strength of the relationship. This paper presents the Discrete Global Grid System as a possible method for more effective big data analysis of maritime risk to address these challenges.

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More information

Published date: 21 October 2019
Venue - Dates: 8th International Conference on Collision and Grounding of Ships and Offshore Structures: Developments in the Collision and Grounding of Ships and Offshore Structures, Portugal, 2019-10-21 - 2019-10-23

Identifiers

Local EPrints ID: 435318
URI: http://eprints.soton.ac.uk/id/eprint/435318
PURE UUID: eb2fbfec-525c-4c21-bf46-16ae9373393c
ORCID for Andrew, David Rawson: ORCID iD orcid.org/0000-0002-8774-2415
ORCID for Zoheir Sabeur: ORCID iD orcid.org/0000-0003-4325-4871
ORCID for Gianluca Correndo: ORCID iD orcid.org/0000-0003-3335-5759

Catalogue record

Date deposited: 30 Oct 2019 17:30
Last modified: 18 Feb 2021 17:37

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Contributors

Author: Andrew, David Rawson ORCID iD
Author: Zoheir Sabeur ORCID iD
Author: Gianluca Correndo ORCID iD
Editor: C. Guedes Soares

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