Identifying route selection strategies in offshore emergency situations using decision trees

Mashrura Musharraf, Jennifer Smith, Faisal Khan and Brian Veitch

Reliability Engineering and System Safety, 2020, vol. 194, issue C

Abstract: Offshore emergency conditions are dynamic in nature and personnel on board are challenged with high risk, time pressure, uncertainty, and the complexity of the situation. This paper investigates how different attributes of emergency scenarios influence people's choice of egress route subsequent to training. An empirical study was carried out in a virtual environment (VE) with 17 naïve participants. The participants were trained to muster during emergencies using a lecture based training (LBT) approach. Training sessions in LBT consisted of computer based training tutorials and simulated training scenarios. Participants’ performance was then tested in simulated testing scenarios. It was observed that given the same training, people used different sets of attributes to make decisions on the egress route. This can help to diagnose causes of poor performance and to design adaptive training lessons. Such identification can also help in the assessment of the efficacy of the training curriculum, or the pedagogical approach.

Keywords: Human factors; Emergency situation; Decision making; Human factor risk analysis (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:194:y:2020:i:c:s0951832017312516

DOI: 10.1016/j.ress.2018.06.007

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