Keywords
Abstract
Flood buyout policy requires coordination among federal agencies, local governments, homeowners, and community organizations. Cost-sharing rules influence local willingness to participate and determine how financial burdens are distributed across jurisdictions and households. Agent-based relocation models help represent heterogeneous homeowner decisions under flood risk, while urban systems science explains how relocation effects propagate across metropolitan structures. Digital governance research adds a complementary perspective by examining decentralized organizations, Web3 communities, and political or profitable motivations in online coordination. These studies show that governance systems depend not only on formal rules but also on trust, incentives, social capital, and conflict management. Model-confidence research is also relevant when AI systems are used to inform policy communication. This literature cluster frames flood buyouts as a multi-actor governance problem involving fiscal incentives, spatial inequality, civic coordination, and computational trust.
References
Zhou, Y. (2026). Equity Implications of Federal-Local Cost-Sharing in Flood Buyouts: A Game-Theoretic Analysis with Heterogeneous Homeowners (No. 2602.23379).
Zhou, Y. (2022). Pre-disaster relocation and agent-based model for flood disaster. The University of Wisconsin-Madison.
Dai, Y. (2026). Rescaling confidence: What scale design reveals about LLM metacognition. arXiv preprint arXiv:2603.09309.
Yang, T., Pan, H., Hewings, G., & Jin, Y. (2019). Understanding urban sub-centers with heterogeneity in agglomeration economies—Where do emerging commercial establishments locate?. Cities, 86, 25-36.
Yang, T. (2020). Understanding commuting patterns and changes: Counterfactual analysis in a planning support framework. Environment and planning b: urban analytics and city science, 47(8), 1440-1455.
Yang, T., & Zhang, Y. (2025). Urban systems science and cross-scale dynamics: A conceptual framework to advance integrated planning and governance. Transactions in Planning and Urban Research, 4(1), 3-13.
Chen, H., Duan, X., El Saddik, A., & Cai, W. (2025, May). Political Leanings in Web3 Betting: Decoding the Interplay of Political and Profitable Motives. In Proceedings of the 17th ACM Web Science Conference 2025 (pp. 96-105).
Chen, H., & Cai, W. (2023). A comparative analysis of centralized and decentralized developer autonomous organizations managing conflicts in discussing external crises. IEEE Transactions on Computational Social Systems, 11(6), 8118-8129.
Chen, H., Zhou, C., El Saddik, A., & Cai, W. (2025). Decentralized Web3 non-fungible token community for societal prosperity? A social capital perspective. Proceedings of the ACM on Human-Computer Interaction, 9(2), 1-36.