2015
DOI: 10.1016/j.engappai.2015.06.023
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Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident

Abstract: a b s t r a c tDuring 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 l… Show more

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Cited by 40 publications
(26 citation statements)
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“…Various GIS-based methods have been implemented for the purpose of accessibility analysis [16]. Agent-based simulations of human movements in natural disaster management have been used to provide locations for temporary emergency services [17]. Fuzzy C-means Clustering and particle swarm optimization-based methods have been utilized to derive optimal locations for common service centers [18].…”
Section: Introductionmentioning
confidence: 99%
“…Various GIS-based methods have been implemented for the purpose of accessibility analysis [16]. Agent-based simulations of human movements in natural disaster management have been used to provide locations for temporary emergency services [17]. Fuzzy C-means Clustering and particle swarm optimization-based methods have been utilized to derive optimal locations for common service centers [18].…”
Section: Introductionmentioning
confidence: 99%
“…[17] Simulation is one of the major applications of agent-based systems. Simulation provides the decision makers with a prototype or framework, which can support decision-making, complex behavior observation in processes, and the estimation of optimized strategies in the relevant field.…”
Section: Optimal Resource Allocation In Emergency Responsementioning
confidence: 99%
“…In other cases, one should select between accepting the delay and rescheduling. For example, the agent estimates a time interval (15)(16)(17)(18)(19)(20)(21) to reach the injured person for a certain task and wins the auction. In the working environment, the agent's arrival time may not occur within the estimated interval.…”
Section: Implementation and Observation Of Environmental Uncertaintiesmentioning
confidence: 99%
“…In the disaster management domain, research in the area of agent-based modeling and simulation (ABMS) has focused on the emergency response to major natural and manmade events with agents representing individuals exhibiting behaviour intended to mimic emergency responders and/or members of the public (Bellamine-Ben Saoud, Ben Mena, Dugdale, Pavard, & Ben Ahmed, 2006;Hawe, Coates, Wilson, & Crouch, 2015;Hooshangi & Alesheikh, 2018;Mysore, Narzisi, & Mishra, 2006). In the context of flood risk management, agent-based models (ABMs) have been used to model evacuation strategies involving agents representing individual members of the public (Dawson, Peppe, & Wang, 2011;Liu, Okada, Shen, & Li, 2010).…”
Section: Modeling Smes' Flood Preparedness Response and Recoverymentioning
confidence: 99%