Towards an AI-driven framework for multi-scale urban flood resilience planning and design

Abstract Climate vulnerability is higher in coastal regions. Communities can largely reduce their hazard vulnerabilities and increase social resilience through design planning, which could put cities on a trajectory for long-term stability. However, the silos within planning communities gap between research practice have made it difficult to achieve goal flood resilient environment. Therefore, this paper suggests an AI (Artificial Intelligence)-driven platform facilitate planning. This platform, with active engagement of local residents, experts, policy makers, practitioners, will break aforementioned close knowledge gaps, ultimately increases public awareness, improves collaboration effectiveness, achieves best outcomes. We suggest holistic integrated approach, bringing multiple disciplines (architectural design, landscape architecture, urban geography, computer science), examining pressing issues at macro, meso, micro scales.