R08 → Theoretical Foundations: Urban Flood Resilience, Morphological Design, and AI Integration
Keywords: #Urban Resilience#Adaptive Urban Design#Climate-responsive Planning#AI for Urban Flooding# Year:2025
This section is still being updated.
The concept of resilience has evolved from ecological theory (Holling, 1973) to social-ecological systems and urban environments. Frameworks such as the adaptive cycle (Walker & Salt) and socio-spatial resilience (Folke) have laid the foundation for understanding how cities respond to compound risks like flooding.
Resilience-Oriented Urban Design and Planning
Urban design principles have shifted toward adaptation, emphasizing iterative planning, zoning flexibility, and climate-responsiveness. Cities like Chicago and Rotterdam exemplify resilience thinking in practice, integrating morphology with infrastructure and policy.
Morphological Indicators for Pluvial Flood Resilience
Recent studies identify morphological variables—building compactness, green space continuity, water surface ratio, imperviousness—as critical in shaping urban flood responses. These indicators serve as inputs for both physical simulations and AI-based predictions.
Technology-Supported Design and Evaluation Tools
Tools such as Rhino-Grasshopper, MIKE, CFD, BIM, and GIS have formed an integrated workflow for simulating flood scenarios and optimizing spatial form. Digital twins, LIDAR scanning, and AR interfaces enhance accuracy and feedback.
AI Models for Urban Flooding: From CNNs to cGANs
Recent advancements in AI—especially convolutional neural networks (CNNs) and conditional generative adversarial networks (cGANs)—have enabled rapid prediction of flood risks. Models such as Pix2Pix, CycleGAN, and cGAN-Flood are now being used for spatially explicit water depth estimation under varying rainfall conditions.
Toward Integrated Morphology-AI Approaches for Flood Resilience
The chapter concludes with a synthesis of resilience theories, urban form metrics, and AI modeling techniques, forming a conceptual foundation for the development of tools like UPF-GAN that combine spatial design with flood resilience assessment.
2025)