Keywords
Abstract
Flood relocation decision modeling examines how households, communities, and institutions respond to disaster risk before severe losses occur. Agent-based simulation is useful because relocation decisions are shaped by heterogeneous household preferences, risk perceptions, financial constraints, social networks, and policy incentives. This topic combines pre-disaster relocation modeling with weak-signal food-system risk evidence from hyperspectral meat contamination detection. Although the application contexts differ, both involve early detection of hidden risk and decision support under uncertainty. Hyperspectral unmixing provides a benchmark-based approach for identifying subtle contamination signals, while agent-based flood modeling captures behavioral dynamics before disaster events. The literature structure supports broader thinking about risk detection, preventive action, and evidence-informed governance across environmental and food safety systems.
References
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