This book presents a bold reimagining of urban futures through the convergence of generative artificial intelligence and digital twin technologies. This book presents AI-powered digital twins as catalysts for systemic change, civic empowerment, and environmental regeneration rather than just as planning tools at a time when cities are dealing with growing climate stresses, infrastructure stress, and profound social inequality. This book explores the development of urban digital twins from data-driven models to intelligent, adaptive systems that learn, simulate, and co-design with their urban settings. It does this via eleven technically sound and conceptually rich chapters. It investigates how generative AI may improve climate simulation, manage floods, lessen urban heat, lower emissions, and promote participatory planning, all while posing important ethical, equitable, and governance issues. This book covers open data standards, AI-twin integration architectures, and the difficulties of implementing prototypes into citywide systems, moving from fundamental theory to state-of-the-art practice. It demonstrates how these technologies can be used to depict community-driven urban scenarios, model circular material flows, and build green roofs. Throughout, this book maintains that cities' ability to restore ecosystems, incorporate a variety of viewpoints, and envision resilient and just futures are what truly define intelligence, not efficiency alone. This book promotes a new urban paradigm where ethics are ingrained, intelligence is dispersed, and regeneration becomes the design axiom. It does this while keeping a close eye on both potential and responsibility. This book provides scholars, planners, technologists, and policymakers with a visionary yet doable road map for creating cities that are not just intelligentbut profoundly aliveby drawing on real-world examples, speculative design theory, and systems thinking. This is not a book about managing cities more efficiently. It is a book about reconsidering the basic concept of urban intelligence and co-creating the urban futures filled with care, courage, and collective imagination.

Proposes a visionary framework for regenerative urban futures Bridges the gap between cutting-edge AI-twin integration and real-world urban challenges Reconsiders city with ethics, equity, and imagination at the core of its urban intelligence

Autorentext

Ali Cheshmehzangi is a professor and head of the School of Architecture, Design and Planning (ADP) at The University of Queensland. He is the Brisbane Olympics Committee member for Games Legacy and Growth Sub-Committee as well as the Expert member of the 2032 Games led by UQ. He has been in the World’s top 2 percent field leader since 2021, recognized by Stanford University. He is among the top 20 global scholars in the urban sustainability research area. Ali has a wealth of experience, expertise, and a strong commitment to innovation and excellence in the fields of architecture, design, and planning, the three core disciplines of his School at UQ. With a career spanning over two decades, he has made significant contributions to the academic and professional communities, with a focus on sustainable and environmentally conscious design.

Inhalt

Introduction.- Chapter 1 The Rise of Generative AI and Urban Digital Twins.- Part I: Foundations and Frameworks of Urban Intelligence.- Chapter 2 Digital Twins in the Urban Context: Evolution and Capabilities.- Chapter 3 Generative AI: Principles, Potentials, and Ethical Dimensions.- Chapter 4 Integrating AI with Urban Digital Twins: Architecture and Infrastructure.- Part II: Environmental Solutions and Urban Sustainability.- Chapter 5 AI-Driven Climate Simulation and Urban Heat Mitigation.- Chapter 6 Smart Water Management and Flood Resilience through Digital Twins.- Chapter 7 Circular Cities and Emissions Reduction.- Part III: Governance, Engagement, and Implementation Pathways.- Chapter 8 Participatory Urbanism and Community Co-Creation.- Chapter 9 Policy, Regulation, and Ethical Governance.- Chapter 10 From Pilot to City-Scale: Implementation and Scaling Models.- Conclusion.- Chapter 11 Toward Regenerative Urban Futures with AI.