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

Glenn Hawe, Graham Coates, Duncan Wilson, Roger Crouch

Research output: Contribution to journalArticle

13 Citations (Scopus)

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.
LanguageEnglish
Pages336-345
JournalEngineering Applications of Artificial Intelligence
Volume46
DOIs
Publication statusPublished - 1 Nov 2015

Fingerprint

Emergency services
Resource allocation

Keywords

  • Emergency response
  • Agent-based simulation
  • Resource allocation optimization

Cite this

@article{71bf467661a445bf9ee35e0787eb6086,
title = "Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident",
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.",
keywords = "Emergency response, Agent-based simulation, Resource allocation optimization",
author = "Glenn Hawe and Graham Coates and Duncan Wilson and Roger Crouch",
year = "2015",
month = "11",
day = "1",
doi = "10.1016/j.engappai.2015.06.023",
language = "English",
volume = "46",
pages = "336--345",
journal = "Engineering Applications of Artificial Intelligence",
issn = "0952-1976",
publisher = "Elsevier",

}

Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident. / Hawe, Glenn; Coates, Graham; Wilson, Duncan; Crouch, Roger.

In: Engineering Applications of Artificial Intelligence, Vol. 46, 01.11.2015, p. 336-345.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident

AU - Hawe, Glenn

AU - Coates, Graham

AU - Wilson, Duncan

AU - Crouch, Roger

PY - 2015/11/1

Y1 - 2015/11/1

N2 - 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.

AB - 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.

KW - Emergency response

KW - Agent-based simulation

KW - Resource allocation optimization

U2 - 10.1016/j.engappai.2015.06.023

DO - 10.1016/j.engappai.2015.06.023

M3 - Article

VL - 46

SP - 336

EP - 345

JO - Engineering Applications of Artificial Intelligence

T2 - Engineering Applications of Artificial Intelligence

JF - Engineering Applications of Artificial Intelligence

SN - 0952-1976

ER -