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

  • Formaat: Hardback, 506 pages, kõrgus x laius: 234x156 mm, kaal: 1130 g, 38 Tables, black and white; 31 Line drawings, black and white; 31 Illustrations, black and white
  • Ilmumisaeg: 28-Apr-2026
  • Kirjastus: CRC Press
  • ISBN-10: 1041094485
  • ISBN-13: 9781041094487
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  • Formaat: Hardback, 506 pages, kõrgus x laius: 234x156 mm, kaal: 1130 g, 38 Tables, black and white; 31 Line drawings, black and white; 31 Illustrations, black and white
  • Ilmumisaeg: 28-Apr-2026
  • Kirjastus: CRC Press
  • ISBN-10: 1041094485
  • ISBN-13: 9781041094487

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 extend these capabilities by facilitating knowledge generalization across datasets, supporting reasoning, and enabling adaptive decision-making under uncertainty. Strengthened by integrative frameworks and cross-disciplinary insights, these technologies offer powerful tools for developing sophisticated urban solutions. They advance how urban ecosystems are environmentally and strategically planned, efficiently and adaptively managed, aesthetically and functionally designed, and spatially and contextually organized.

Rich in conceptual frameworks, theoretical insights, operational models, applied innovations, practical case studies, and policy guidance, this book equips researchers, planners, designers, technologists, and policymakers to harness generative intelligence in shaping adaptive, context-aware, and continuously refined urban environments that are ecologically responsible, climate-resilient, and future-ready. Essential for anyone exploring the frontier of GenAI-driven urban development, it offers actionable insights to guide the next generation of sustainable smart cities.



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.

1. The Rise of Deep Generative, Hybrid, and Foundation Models for
Sustainable Smart City Intelligence: Theoretical Frameworks, Transformative
Innovations, and Advanced Applications.
2. Empowering Sustainable Smart City
Digital Twins with Deep Generative and Foundation Models: A Pioneering
Framework for Environmental Planning and Computational Design.
3. Deep
Generative and Hybrid Models for Advancing Environmental Sustainability in
Smart Cities: Emerging Solutions for Climate Change Mitigation and Adaptation
Challenges.
4. Deep Generative and Hybrid Models for Sustainable Smart
Cities: Infrastructure Management, Strategic Planning, and Climate
Resilience.
5. Deep Generative and Foundation Models for Sustainable Smart
City Digital Twins: Operational, Infrastructural, and Practical Advancements
for Environmental Planning.
6. Augmenting Computational Urban and
Architectural Design with Deep Generative, Hybrid, and Multimodal Models:
Innovative Applications and a Cross-Scalar Disciplinary Framework for
Sustainable Smart Cities.
7. The Next Frontier in Sustainable Smart City
Development: Urban, Flow, Environmental, Climate, and Geospatial Foundation
Models for Multimodal Intelligence and Systemic Innovation.
Simon Elias Bibri, PhD, is a globally recognized scholar and expert in sustainable smart cities and smarter eco-cities, focusing on the integration and application of advanced technologies, particularly urban digital twins (UDTs), artificial intelligence (AI), artificial intelligence of things (AIoT), and generative artificial intelligence (GenAI), to foster innovative solutions in urban transformation and environmental sustainability. Currently, he serves as a Senior Researcher and Scientific Coordinator at the Swiss Federal Institute of Technology Lausanne (EPFL), Institute of Computer and Communication Sciences (IINFCOM), School of Architecture, Civil and Environmental Engineering (ENAC), Media and Design Laboratory (LDM). He has a diverse professional background, having served as head of the computer department, software and IT business engineer, IT project manager, green ICT and environmental sustainability strategist, research associate, assistant professor, and international expert. He was also a visiting scholar at Lund University and a visiting senior researcher at Royal Institute of Technology (KTH) in Sweden. He served as an international expert in Artificial Intelligence and Applied Machine Learning for Climate Action for UNFCCC and an international expert in Sustainable Cities for UNIDO. He currently serves as an expert for Focus Group for Smart Sustainable Cities, Environmental Sustainability, and Digital Twins for ITU. He also holds the position of the Editor-in-Chief of the International Journal of Environmental Studies at Taylor & Francis Group and the Associate Editor of the Journal of Sustainable Cities and Society.

Dr. Bibris academic journey exemplifies both interdisciplinarity and transdisciplinarity. His intellectual background encompasses computer science, computer engineering, systems science, innovation science, environmental science, social sciences, and humanities. He holds a bachelors degree in computer engineering and a postgraduate degree in management science. Notably, he earned multiple masters degrees from esteemed Swedish universities, namely Lund University, West University, Blekinge Institute of Technology, Stockholm University, Malmö University, and Mid-Sweden University. He received his PhD in computer science and information technology from the Norwegian University of Science and Technology (NTNU), specializing in computational technology and urban informatics, with a focus on data-driven smart sustainable cities. Dr. Bibri is a prolific scholar with numerous highly cited journal articles, 9 authored books, 3 edited works, and 13 co-edited volumes to his credit. His work has been cited over 15,250 times, resulting in an h-index of 55. His impact has been recognized by Stanford University and Elsevier as among the top 1% of scientists worldwide, a distinction he has held for six consecutive years. He has also been listed by ScholarGPS as the #1 highly ranked scholar in sustainable cities, #2 in urbanism, and #8 in environmental sustainability in the world.

Dr. Bibris research interests and expertise cover a broad spectrum of areas, including sustainable cities, smarter eco-cities, sustainable smart cities, urban artificial intelligence, urban artificial intelligence of things, urban generative artificial intelligence, urban generative artificial intelligence of things, urban digital twin, smart urban metabolism, urban circularity, cyberphysical systems of systems, urban planning and design, environmental governance, environmental sustainability, climate change mitigation and adaptation, smart sustainable energy, smart sustainable transportation, smart sustainable waste management, sustainability transitions, and technological innovation systems.

Jeffrey Huang, PhD, is the Director of the Institute of Architecture and the City at the Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland. He is also the Head of the Media and Design Laboratory (LDM) and a Full Professor in Architecture and Computer Science at EPFL. He holds a DiplArch from ETH Zurich, and masters and doctoral degrees from Harvard University, where he was awarded the Gerald McCue Medal for academic excellence. Prior to EPFL, he was a Researcher at MITs Sloan School of Management, and an Associate Professor at Harvard Universitys Graduate School of Design. He was also a Visiting Professor at Tsinghua University, a Visiting Fellow at Stanford Universitys d.school, an Honorary Visiting Professor at the University of Sheffield, and a Berkman Fellow and Faculty Associate at Harvard. In collaboration with Muriel Waldvogel, he founded and co-heads Convergeo, an award-winning, international strategic design firm.