Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Modeling ship transportation risk

Fowler1, Sorgard

  • 1Det Norske Veritas, Region UK, London. Tim.Fowler@dnv.com

Risk Analysis : an Official Publication of the Society for Risk Analysis
|June 22, 2000
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Observations on the Extraction of Teeth.

The Medical and physical journal·2018
Same author

Advanced visualization and visual analytics: general discussion.

Faraday discussions·2014
Same author

Virtual and augmented reality immersive molecular simulations: general discussion.

Faraday discussions·2014
Same author

Research capacity. Enabling the genomic revolution in Africa.

Science (New York, N.Y.)·2014
Same author

The Relative Value of Various Types of High-tension Transformers (including Coil) Used for the Production of X-rays.

Proceedings of the Royal Society of Medicine·2009
Same author

Echocardiography for the Diagnosis of Staphylococcus aureus Infective Endocarditis.

Current infectious disease reports·2000
Same journal

Jack Fowle: Combining Values, Experience, and Teamwork to Improve Risk Analysis.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

A Hybrid FMEA-AHP Framework for Risk Prioritization in Nontransparent Artificial Intelligence Systems.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Trust-Building Communication for Extreme Heat Preparedness.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Spring Broken: A Risk Analysis of Fatal and Nonfatal Traffic Injuries in Florida.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Global Sensitivity Analysis of Societal Resilience Using Shapley Values and Polynomial Chaos Expansion.

Risk analysis : an official publication of the Society for Risk Analysis·2026
Same journal

Assessing How Fact-Checks Influence Accuracy and Consensus Judgments: Evidence From the Olympics.

Risk analysis : an official publication of the Society for Risk Analysis·2026
See all related articles

The Marine Accident Risk Calculation System (MARCS) was developed to improve maritime safety in coastal waters. While generally accurate, the system requires refinement for specific ship types and grounding accident categories.

Area of Science:

  • Maritime Safety
  • Risk Assessment
  • Naval Engineering

Background:

  • The Commission of the European Communities (CEC) project "Safety of Shipping in Coastal Waters" (SAFECO) aimed to enhance maritime safety.
  • Marine accidents in coastal waters pose significant risks, necessitating advanced risk assessment tools.

Purpose of the Study:

  • To present the developed Marine Accident Risk Calculation System (MARCS) from the SAFECO project.
  • To analyze factors influencing marine accident risk levels in coastal shipping.
  • To validate the MARCS model through a North Sea case study.

Main Methods:

  • Development and application of the Marine Accident Risk Calculation System (MARCS).
  • Utilizing a "demonstration of concept" case study in the North Sea.

Related Experiment Videos

  • Comparing estimated accident frequencies with historical maritime accident data.
  • Main Results:

    • The MARCS model demonstrated reasonable to good agreement with historical accident statistics (within a factor of 2 to 5).
    • Significant discrepancies were noted for specific ship types and accident categories, particularly drift and powered grounding for ferries.
    • Model validity was demonstrated, but areas for improvement were identified.

    Conclusions:

    • The MARCS model provides a valid approach to estimating maritime accident frequencies.
    • Uncertainties in risk model algorithms, traffic data, failure probabilities, and historical data impact accuracy.
    • Further refinement of MARCS is needed to address identified discrepancies for enhanced maritime safety.