Retrospective application of SAFEMODE risk models to maritime investigation reports

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Abstract

The presentation elucidates the methodology employed to validate SAFEMODE Risk Models (RMs) using a robust dataset of 80 maritime accident investigation reports. Conducted between June 2021 and March 2022, the study involved 18 internal workshops with seven maritime partners. Initially, the risk models underwent group analysis sessions, which were followed by individual evaluations and cross-validation. Specifically focusing on the Collision in Congested Water Risk Model (CCW-RM), the study found that 80% of the identified 221 Base Events (BEs) were captured as contributing factors in incident reports. This validates the utility of SAFEMODE RMs to a certain extent. The presentation also delves into a detailed analysis of CCW-RM occurrences and other salient findings. Moreover, the risk models prove instrumental in prioritizing safety measures and yield actionable insights into Human Factors (HFs) and system reliability, thereby contributing to a fortified framework for maritime safety management.
Original languageEnglish
Number of pages33
Publication statusPublished - 29 Nov 2022
Event1st International Maritime Human Factors Symposium: Safety, Risk and Human Reliability in the Maritime Domain - University of Strathclyde, Glasgow, United Kingdom
Duration: 28 Nov 202230 Nov 2022
https://imhfs.my.canva.site/imhfs2022/#information

Other

Other1st International Maritime Human Factors Symposium
Country/TerritoryUnited Kingdom
CityGlasgow
Period28/11/2230/11/22
Internet address

Keywords

  • SAFEMODE project
  • IMHFS
  • human factors
  • accident investigation
  • SHIELD
  • risk modelling
  • risk analysis
  • collision

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  • Using occurrence data to map the elements of a risk model

    N. MacKinnon, S., Farag, Y., Sotiralis, P., Dandu Basappa, R., Thomson, R., Kirwan, B. & Lopez Llobet, M., 28 Aug 2022, Proceedings of the 32nd European Safety and Reliability Conference (ESREL2022). Leva, M. C., Patelli, E., Podofillini, L. & Wilson, S. (eds.). Singapore, p. 3151-3156 6 p. S31-03-408

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