Generative AI and Generative AI of Things for Sustainable Smart Cities

Pioneering Environmental Innovations, Climate Solutions, and Infrastructural Transformations

Simon Elias Bibri

• Publisher: CRC Press
• Year: 2025
• eBook ISBN: 9781040616574
• Topic: Computer Science
• Subtopic: Urban Planning & Landscaping
• Index: Computer Science

This pioneering book invites readers on a compelling journey into Generative Artificial Intelligence (GAI) and its groundbreaking convergence with AI of Things (AIoT), introducing GAIoT as a transformative frontier in urban computing and intelligence. GAIoT signals a paradigm shift towards more intelligent, self-learning, self-evolving, and context-aware systems—capable of generating adaptive, forward-looking solutions to the complex infrastructural and environmental challenges confronting sustainable smart cities.

With its combination of theoretical depth, applied innovation, and interdisciplinary scope, the book offers a comprehensive examination of deep generative models—namely Generative Adversarial Networks, Variational Autoencoders, Diffusion Models, Transformers, and hybrid architectures—and their applications in environmental sustainability, climate resilience, infrastructure optimization, dynamic decision-making, and data-driven urban management and planning. From synthetic data generation, data augmentation, and data imputation to predictive modeling and scenario simulation, GAIoT is driving the next wave of climate-responsive, environmentally conscious smart city innovation.

What sets this book apart is its first-of-its-kind focus on GAIoT as a pathbreaking force in shaping the future of sustainable urban development. It delivers actionable insights, conceptual and operational frameworks, case studies, and policy guidance—equipping diverse stakeholders with the tools to build cities that not only respond to change but also anticipate and shape it. Targeting a broad and cross-disciplinary audience, the book shares state-of-the-art research, presents innovative solutions, and forecasts future trends in urban transformation. As both a seminal reference and a practical resource for researchers, technologists, practitioners, professionals, and policymakers, it provides essential guidance for those engaged in advancing the next frontier in urban computing and intelligence.

Table of contents

• Cover
• Half Title
• Title
• Copyright
• Contents
• About the Author
• Preface
• Acknowledgments
• Introduction: The Next Frontier in Urban Computing and Intelligence—Redefining Sustainable Smart Cities through Generative AI and Generative AI of Things
• 1 The Rise of Generative AI and Generative AI of Things in Sustainable Smart City Development: Innovations, Opportunities, Data Solutions, Applications, and Prospects
• 2 Deep Generative Models for Cognitive Augmentation of AI of Things in Sustainable Smart Cities: A Comparative Analysis of GANs, VAEs, Diffusion Models, Transformers, and Hybrid Architectures
• 3 Transforming Sustainable Smart Cities with Generative AI of Things: Practical Advancements in Environmental Efficiency, Infrastructure Optimization, and Climate Resilience
• 4 Generative AI at the Intersection of Smart Cities, Environmental Sustainability, and Climate Change: Conceptual, Analytical, Methodological, Technical, and Practical Foundations
• 5 Harnessing the Transformative Potential of Generative AI for Sustainable Smart City Development: Leading-Edge Solutions for Advancing Environmental and Climate Strategies
• 6 Generative AI of Things–Powered Sustainable Smart City Brain and Digital Twin Systems: Synergizing Real-Time Operational Management and Strategic Predictive Planning
• 7 A Pioneering Generative AI of Things Framework for Sustainable Smart City Brain and Digital Twin Integration: Data Solutions for Advancing Environmental Management and Planning
• Index