The Generative AI-Driven Sustainable Smart City: Deep, Hybrid, and Foundation Models for Environmental Planning, Computational Design, and Climate Resilience

The rapid rise of Generative AI is increasingly reshaping the field of urban computing, marking the next frontier of sustainable smart city research and practice.This book takes readers on an exploratory journey into the transformative potential of Deep Generative Models (DGMs), hybrid architectures, and Foundation Models (FMs) to redefine the future urban landscape.These technologies contribute to enhancing environmental sustainability, climate resilience, infrastructure performance, operational efficiency, spatial organization, and functional livability through forward-thinking approaches to urban planning, design, and management-often implemented via digital twins. DGMs enable synthetic data generation, data augmentation, data imputation, scenario simulation, and predictive modeling, providing richer insights into complex urban systems.Hybrid architectures integrate generative and conventional models to improve robustness, scalability, and flexibility across diverse urban tasks.FMs