Human Decision-Making & Behavior
We study how individuals, communities, and institutions make decisions under natural hazard risk — and how these levels interact with one another. This includes homeowner mitigation and evacuation behavior, collective and neighbor-to-neighbor dynamics within communities, and citizen-government interactions in policy design. We apply agent-based, game-theoretic, and AI-driven models to understand and improve decision-making across these interconnected levels.
Related Projects
Coming soon.
Representative Publications
- Wang, Z-J.* and Lee, J.Y. (2026). “From free-riding to collective action in wildfire mitigation: the role of policy incentives.” Expert Systems with Applications, 331, Part B, 1329000.
- Ma, F.* and Lee, J.Y. (2025). “Analyzing wildfire evacuation dynamics with agent-based modeling in damaged road networks.” Safety Science, 187, 106835.
- Lee, J.Y., Ma, F.*, and Li, Y. (2022). “Understanding homeowner proactive actions for managing wildfire risks.” Natural Hazards, 114(2), 1525-1547.
