PrioritEvac, an adaptive model for evacuation: agent based simulation of the Station nightclub fire
Date
2019
Authors
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Publisher
University of Delaware
Abstract
Fire evacuation modeling benefits from application of social science both in terms of accuracy and greater possibility of external validation. This thesis describes a novel simulation framework, PrioritEvac, which incorporates social dimensions of fire evacuation in an agent-based modeling framework. This model uses individual priorities, making for a dynamic approach that allows greater agency and nuance. The agent-based model was programmed in NetLogo and then validated using data from the Station nightclub fire, finding that it is in good agreement on multiple metrics.
Description
Keywords
Agent-based modeling, Emergency management, Evacuation, Fire, Fire evacuation