Spatial challenges of maritime risk analysis using big data

Authors: Rawson, A., Sabeur, Z. and Correndo, G.

Journal: Developments in the Collision and Grounding of Ships and Offshore Structures - Proceedings of the 8th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2019

Pages: 275-282

ISBN: 9780367433130

Abstract:

The establishment of incident rates, the number of accidents per unit measurement, can be used to characterize 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 characterizes 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.

Source: Scopus

Spatial challenges of maritime risk analysis using big data

Authors: Rawson, A., Sabeur, Z. and Correndo, G.

Conference: Developments in the Collision and Grounding of Ships and Offshore Structures - Proceedings of the 8th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2019

Pages: 275-282

Source: Manual