Evaluation of centralised and autonomous routing strategies in major incident response

Duncan Wilson, Glenn Hawe, Graham Coates, Roger Crouch

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Fast and efficient routing of emergency responders during the response to mass casualty incidents is a critical element of success. However, the predictability of the associated travel times can also have a significant effect on performance during the response operation. This is particularly the case when a decision support model is employed to assist in the allocation of resources and scheduling of operations, as such models typically rely on an ability to make accurate forecasts when evaluating candidate solutions. In this paper we explore how both routing efficiency and uncertainty in travel time prediction are affected by the routing strategy employed. A simulation study is presented, with results indicating that a routing strategy which allows responders to select routes autonomously, as opposed to being instructed via a central decision support program, leads to improvement in overall performance despite the associated increase in uncertainty in travel time prediction.
LanguageEnglish
Pages80-88
JournalSafety Science
Volume70
DOIs
Publication statusPublished - 1 Dec 2014

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Travel time
incident
travel
Uncertainty
Emergency Responders
evaluation
uncertainty
Mass Casualty Incidents
Decision Support Techniques
Resource Allocation
scheduling
performance
candidacy
Scheduling
efficiency
simulation
ability
resources
time

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Wilson, Duncan ; Hawe, Glenn ; Coates, Graham ; Crouch, Roger. / Evaluation of centralised and autonomous routing strategies in major incident response. In: Safety Science. 2014 ; Vol. 70. pp. 80-88.
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Evaluation of centralised and autonomous routing strategies in major incident response. / Wilson, Duncan; Hawe, Glenn; Coates, Graham; Crouch, Roger.

In: Safety Science, Vol. 70, 01.12.2014, p. 80-88.

Research output: Contribution to journalArticle

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