2025 CSDMS meeting-103
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Modeling Fire Dynamics, Human Behavior, and Power Supply in Complex Systems Using Agent-Based Models (ABMs)
Qin Huang,
Arizona State University Tempe Arizona, United States. qhuang62@asu.edu
Climate change is intensifying extreme weather events like wildfires, which increasingly disrupt communities through complex interactions between environmental conditions, infrastructure, and human behavior. This study uses Agent-Based Modeling (ABM) in NetLogo to explore wildfire dynamics as a complex adaptive system, simulating the interplay between fire spread, cascading power outages, and resident evacuation responses. By integrating factors such as infrastructure vulnerability and risk-based decision-making, the model provides insights into system resilience and community outcomes under varied scenarios.
