A reference decision model of first responders; decision-making

Tony Rosqvist, Denis Havlik, Merik Meriste

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)

Abstract

This paper introduces a generic decision model that connects three basic components in the response decision process: the stochastic information flow consisting of help requests and resource availabilities; situation awareness based on a spatiotemporal risk picture and response decisions allocating resources for response actions. The formalism utilised is the stochastic marked point process. The paper is written to support 'black-box; modelling of situation awareness in virtual training simulation, where a trainee;s performance is compared with, e.g., the performance of experienced commanders with respect to key performance indicators (KPIs) obtained from such simulations. The paper also briefly discusses the use of the introduced decision model in developing agent-based models and simulations. It is also noted that the decision model encompasses the recognition-primed decision (RPD) model of naturalistic decision-making.
Original languageEnglish
Pages (from-to)193-209
Number of pages17
JournalInternational Journal of Emergency Management
Volume13
Issue number3
DOIs
Publication statusPublished - 2017
MoE publication typeA1 Journal article-refereed

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Decision Making
Stochastic Processes
Recognition (Psychology)
Simulation Training

Keywords

  • common operational picture
  • emergency simulation
  • response decision-making
  • response simulation
  • situational risk awareness

Cite this

Rosqvist, Tony ; Havlik, Denis ; Meriste, Merik. / A reference decision model of first responders; decision-making. In: International Journal of Emergency Management. 2017 ; Vol. 13, No. 3. pp. 193-209.
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A reference decision model of first responders; decision-making. / Rosqvist, Tony; Havlik, Denis; Meriste, Merik.

In: International Journal of Emergency Management, Vol. 13, No. 3, 2017, p. 193-209.

Research output: Contribution to journalArticleScientificpeer-review

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