Keywords
Abstract
Flood governance increasingly depends on integrated information systems that combine spatial analysis, behavioral modeling, community participation, and computational decision support. Pre-disaster relocation modeling explains household responses to flood risk, while urban systems science frames relocation as a cross-scale process involving neighborhoods, metropolitan structure, and governance institutions. Polycentric development and urban sub-center research provide spatial context for relocation choices. Web3 community research contributes a digital governance perspective by examining decentralized coordination, social capital, and community-level conflict management. LLM confidence research is relevant when AI tools are used to summarize risks, explain policy options, or assist public communication. This literature cluster suggests that flood governance should combine spatial planning, digital community analysis, and confidence-aware decision support to reduce risk while maintaining public trust.
References
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