University Of Tasmania

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Human factor risk assessment during emergency condition in harsh environment

conference contribution
posted on 2023-05-23, 12:40 authored by Musharraf, M, Faisal KhanFaisal Khan, Veitch, B, MacKinnon, S, Imtiaz, S
This paper presents a quantitative approach to human factors risk analysis during emergency conditions on an offshore petroleum facility located in a harsh environment. Due to the lack of human factors data for emergency conditions, most of the available human factors risk assessment methodologies are based on expert judgment techniques. Expert judgment is a valuable technique, however, it suffers from vagueness, subjectivity and incompleteness due to a lack of supporting empirical evidence. These weaknesses are often not accounted for in conventional human factors risk assessment. The available approaches also suffer from the unrealistic assumption of independence of the human performance shaping (HPS) factors and actions. The focus of this paper is to address the issue of handling uncertainty associated with expert judgments and to account for the dependency among the HPS factors and actions. These outcomes are achieved by integrating Bayesian Networks with Fuzzy and Evidence theories to estimate human error probabilities during different phases of an emergency. To test the applicability of the approach, results are compared with an analytical approach. The study demonstrates that the proposed approach is effective in assessing human error probability, which in turn improves reliability and auditability of human factors risk assessment. Copyright © 2013 by ASME.


Publication title

Proceedings of the ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2013


2 B








Australian Maritime College


American Society of Mechanical Engineers

Place of publication


Event title

ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2013

Event Venue

Nantes, France

Date of Event (Start Date)


Date of Event (End Date)


Rights statement

Copyright 2013 ASME

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering