Data Analysis Finds 29% of Vessels Account for 70% of Reported Accidents

New research finds that vessel operating patterns can provide early indicators of elevated accident potential, enabling operators to mitigate the risks. Analysis of casualty data by insurance group NorthStandard and technology provider ShipIn Systems found that 29 percent of vessels accounted for nearly 70 percent of reported accidents. The research shows that ship operators can identify poor operating patterns before their assets are damaged and seafarers are injured, pointing to a more proactive safety model.

 

The Central Finding

 

New research reveals a striking concentration. It analysed casualty data and operational patterns. It came from an insurer and a technology provider. It found accidents concentrated among few vessels. This has clear implications for safety.

The key figures are stark. Some 29 percent of vessels accounted for most accidents. This was nearly 70 percent of reported accidents. Risk is concentrated among a small proportion. This can be identified through operational patterns.

 

The Data Sources

 

The research combines two data sources. It draws on casualty data. This comes from a maritime intelligence provider. It combines this with operational analysis. This comes from a vessel monitoring platform.

The combination is central to the findings. It links accidents to operations. This reveals underlying patterns. It connects casualty data with behaviour. This enables earlier identification of risk.

 

The Warning Signs

 

The research identifies measurable warning signs. Vessels with lower scores had higher accident rates. These rates were 5.7 times higher. This compared lower and higher-scoring vessels. The difference is significant.

Lower-performing vessels showed more deviations. These spanned bridge operations. Deck safety was also affected. Mooring activity featured too. Protective equipment compliance was another area.

 

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The Opportunity for Intervention

 

The findings enable earlier intervention. Operators can identify recurring deviations. They can then act swiftly. This rectifies compliance issues. It improves onboard safety.

Company leadership stressed this opportunity. The industry does not lack data. The challenge is timely action. Shared evidence helps ship and shore teams. They can address risk together.

 

The Evidence of Improvement

 

The research shows patterns can change. It monitored a cohort of vessels. This covered 250 vessels over 12 months. Average deviations fell dramatically. They dropped from around 230 to eight.

This represents a major reduction. It was a 96 percent reduction. Improvements were sustained over time. They spanned bridge and deck safety. Protective equipment activity also improved.

 

The Proactive Model

 

The findings point to a new approach. Company leadership called it more proactive. Safety is often measured after the fact. Yet risk is visible much earlier. It is embedded in everyday operations.

This model focuses attention effectively. It concentrates on higher-risk vessels. Fleet managers can identify which need support. They focus intervention on recurring behaviours. They then measure whether conditions improve.