Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident

Hawe, G.I.; Coates, G.; Wilson, D.T.; Crouch, R.S.

doi:10.1016/j.engappai.2015.06.023

Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident

Hawe, G.I.; Coates, G.; Wilson, D.T.; Crouch, R.S.

Authors

G.I. Hawe

G. Coates

D.T. Wilson

R.S. Crouch

Abstract

During a major incident, the emergency services work together to ensure that those casualties who are critically injured are identified and transported to an appropriate hospital as fast as possible. If the incident is multi-site and resources are limited, the efficiency of this process is compromised as the finite resources must be shared among the multiple sites. In this paper, agent-based simulation is used to determine the allocation of resources for a two-site incident which minimizes the latest hospital arrival times for critically injured casualties. Further, how the optimal resource allocation depends on the distribution of casualties across the two sites is investigated. Such application supports the use of agent-based simulation as a tool to aid emergency response.

Citation

Hawe, G., Coates, G., Wilson, D., & Crouch, R. (2015). Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident. Engineering Applications of Artificial Intelligence, 46(Part B), 336-345. https://doi.org/10.1016/j.engappai.2015.06.023

Journal Article Type	Article
Online Publication Date	Jul 23, 2015
Publication Date	Nov 1, 2015
Deposit Date	Aug 8, 2013
Publicly Available Date	Jul 24, 2015
Journal	Engineering Applications of Artificial Intelligence
Print ISSN	0952-1976
Publisher	Elsevier
Peer Reviewed	Peer Reviewed
Volume	46
Issue	Part B
Pages	336-345
DOI	https://doi.org/10.1016/j.engappai.2015.06.023
Keywords	Emergency response, Agent-based simulation, Resource allocation optimization

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© 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).