A knowledge elicitation study to inform the development of a consequence model for Arctic ship evacuations: qualitative and quantitative data

• Main Author: Browne, T (via Mendeley Data)
• Language: unknown
• Published: 2021
• Subjects: Interdisciplinary sciences; Arctic
• Online Access: http://nbn-resolving.org/urn:nbn:nl:ui:13-ho-bp96; https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:219772

A two-phased mixed methods design was employed to elicit expert knowledge to inform the development of a life-safety consequence model for Arctic ship evacuations. Semi-structured interviews elicited perspectives on the factors that influence the expected numbers of fatalities during a ship evacuation in Arctic waters. Interviews were held and recorded over video-conference. Interviews were transcribed verbatim and analysed using thematic analysis. Interview data informed the development of an online survey, in which evacuation scenarios were rated for the level of life-safety consequence severity they pose. Sixteen experts in the field of Arctic seafaring, policy, and academia and research participated in the interviews and survey. The interview guide and survey questions are presented. Data tables present the codes that emerged through thematic analysis, including code reference counts and code intersection counts. The most frequently referenced codes and code intersections informed the development of the evacuation scenarios defined in the online survey. Data tables present the raw data of participant responses to the rating survey. The authors used this data to develop a conceptual framework of the factors that influence the potential for loss of life resulting from a ship evacuation in the Arctic and quantify consequence severities for different Arctic ship evacuation scenarios. This data can support further investigation of factors that influence consequence severity, definition of a broader range of evacuation scenarios, and establishment of associated consequence severities. This data has value to those with interest in Arctic maritime policy and operational risk management.