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.

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
• Public URL: https://durham-repository.worktribe.com/output/1452090