A comprehensive analysis of human factors in maritime accidents by applying SHIELD HF Taxonomy

Research output: Contribution to conferencePaperpeer-review

Abstract

Maritime accidents remain a concern in our society despite of the continuous improvement on safety measures. With the aim to contribute to current safety measures, this paper proposes to utilise the Safety Human Incident & Error Learning Database (SHIELD) Human Factors (HF) Taxonomy, which was developed in the context of the European Union SAFEMODE project, in line with the key components of NASA-HFACS, HERA, and Reason’s Swiss Cheese Model. SHIELD HF Taxonomy aims to identify active and latent failures within an organisation that contributed to an accident or incident. The goal of SHIELD HF Taxonomy is not to attribute blame; it is to understand the underlying causal factors that lead to an accident. Finally, SHIELD HF Taxonomy is demonstrated on a maritime accident collision to identify the main accident contributors.
Original languageEnglish
Number of pages12
Publication statusPublished - 7 Jun 2021
Event1st International Conference on the Stability and Safety of Ships and Ocean Vehicles - Online
Duration: 7 Jun 202111 Jun 2021
http://www.stability-and-safety-2021.org/

Conference

Conference1st International Conference on the Stability and Safety of Ships and Ocean Vehicles
Abbreviated titleSTAB&S 2021
Period7/06/2111/06/21
Internet address

Keywords

  • human factors
  • maritime accidents
  • accident investigation
  • maritime safety
  • accident analysis

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