Rogage, Kay (2018) Virtual Training Environments for Major Incident Response Planning in UK Gas Infrastructure. International Journal of Disaster Resilience in the Built Environment, 9 (2). pp. 130-144. ISSN 1759-5908
|
Text
KR_IJDBRE_Manuscript.pdf - Accepted Version Download (903kB) | Preview |
Abstract
An evaluation of a virtual training environment for testing UK gas pipeline emergency response plans. Interviews, observations and desk research were used to identify current methods for testing plans. A virtual training environment was developed and evaluated with industry experts using participatory design techniques. Key themes relating to both the current methods for testing plans and for a virtual training environment were identified using thematic analysis.
Improved training performance, remote participation and evidence of decision testing are benefits a virtual training environment can bring to current practice. It is suggested that a virtual training environment can enhance, rather than replace the current process of testing emergency response plans.
Analysis of the virtual training environment being used to test plans in a live context would give further ecological validity to the findings. A study of the prototype used to test plans for incidents involving sectors outside the gas industry would further validate the findings.
The application of a virtual training environment to facilitate testing plans and the decision making processes for major incidents involving high-pressure gas pipelines and storage sites, is yet to be documented. This paper contributes to the literature by documenting the decision making process and evaluation of a virtual training environment for testing plans in this context.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Emergency Response Planning, Major Incidents, Gas Infrastructure, Virtual Training Environment |
Subjects: | G400 Computer Science |
Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
Depositing User: | Kay Rogage |
Date Deposited: | 13 Dec 2017 12:22 |
Last Modified: | 01 Aug 2021 08:51 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/32823 |
Downloads
Downloads per month over past year