Domino effect in marine accidents: Evidence from temporal association rules

Likun Wang, Ruiling Huang, Wenming Shi and Caiyun Zhang

Transport Policy, 2021, vol. 103, issue C, 236-244

Abstract: Marine accidents cause not only significant economic losses, but also severe environmental pollution and inestimable human casualties, which have become a worldwide concern. To better cope with this concern, this paper adopts temporal association rules (TARs) to mine and discover the domino effect in marine accidents. Using the dataset of 5754 marine domino accidents (MDAs) collected from the International Maritime Organization and IHS Markit Company, the main findings of this paper are as follows. First, ‘hull damage’ was found to be the most frequent accident in MDAs, and ‘collision’ was more likely to cause the damage in the whole hull. Second, ‘oil spill’ was most often observed as a final marine accident. Meanwhile, ‘foundered’ was more likely to cause ‘oil spill’ in both oil tanker and general cargo ship MDAs. Third, it is pointed out that most probable scenarios involved ‘hull damage’ as the basic accident which ended with ‘foundered’ and ‘oil spill’ as top accidents. These findings not only advance our knowledge of marine accidents from the perspective of the domino effect, but also provide insights into improving marine safety.

Keywords: Domino effect; Marine accidents; Risk factors; Machine learning; Temporal association rules (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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DOI: 10.1016/j.tranpol.2021.02.006

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