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 journalArticlepeer-review

33 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.
Original languageEnglish
Pages (from-to)336-345
JournalEngineering Applications of Artificial Intelligence
Volume46
DOIs
Publication statusPublished (in print/issue) - 1 Nov 2015

Keywords

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

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