Climate Adaptation Fairness in Flood-Prone Communities

Abstract

Climate adaptation fairness requires attention to who receives protection, who is asked to relocate, and who bears the financial and social costs of risk reduction. Flood-prone communities often contain heterogeneous households with different incomes, property values, tenure security, social networks, and relocation preferences. This topic combines pre-disaster relocation modeling with equity analysis of federal-local cost sharing in flood buyouts. Agent-based models help represent household responses to relocation incentives, while game-theoretic approaches capture strategic interactions among governments and homeowners. Hyperspectral weak-signal detection is included as an analogy for early intervention, where hidden risk must be identified before visible damage occurs. The literature direction emphasizes that adaptation policy should be evaluated not only by aggregate risk reduction but also by distributional consequences.