Abstract
Flood buyout governance involves cross-scale interactions among homeowners, local governments, federal agencies, and metropolitan planning systems. Cost-sharing rules influence local participation and household relocation incentives, while urban systems science provides a framework for understanding how individual decisions produce broader spatial and governance outcomes. Polycentric development and urban sub-centers shape relocation opportunity, and housing price variation affects whether safer destinations are accessible. Model confidence is also important when AI tools are used to assist planning, prioritization, or public communication. Research on LLM metacognition raises questions about how decision-support systems express uncertainty and confidence in policy-sensitive contexts. Web3 community studies add a governance perspective on social capital and decentralized coordination. This literature cluster frames flood buyout governance as an integrated problem of fiscal incentives, spatial structure, computational confidence, and community participation.
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