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Full Description
This book takes readers on a captivating journey into the transformative role of Artificial Intelligence (AI) and AI of Things (AIoT) technologies in reshaping sustainable urban development. By combining comprehensive theoretical analyses, synthesized empirical evidence, and practical case studies, it offers pioneering interdisciplinary insights and unifying frameworks. The book highlights the synergistic integration of Urban Brain (UB), Urban Digital Twin (UDT), Smart Urban Metabolism (SUM), and platform urbanism, underscored by their collaborative potential to revolutionize the environmental management, planning, and governance of smarter eco‑cities and sustainable smart cities. It leverages cutting‑edge technologies and data‑driven approaches to optimize urban systems, resource efficiency, and resilience. This approach provides a holistic understanding of the rapidly evolving landscape of AI‑ and AIoT‑driven sustainable urban development.
Targeting a broad and diverse audience across multiple disciplines and fields, the book aims to share state‑of‑the‑art research, present innovative solutions, and forecast future trends in urban sustainability. As both a seminal reference and a valuable resource for researchers, practitioners, industry experts, and policymakers, it provides essential guidance for those engaged in driving technological innovation, steering urban transformation, promoting environmental sustainability, or working at the crossroads of these critical areas.
Contents
1. Transformative Integration of Artificial Intelligence of Things and Cyber‑Physical Systems of Systems: Advancing Smarter Eco‑Cities and Sustainable Smart Cities. 2. Smarter Eco‑City Management, Planning, and Governance in the Era of Artificial Intelligence of Things: Theoretical and Conceptual Frameworks. 3. Artificial Intelligence and Artificial Intelligence of Things Solutions for Smarter Eco‑Cities: Advancing Environmental Sustainability and Climate Change Strategies. 4. Artificial Intelligence of Things for Advancing Smart Sustainable Cities: A Synthesized Case Study Analysis of City Brain, Digital Twin, Metabolism, and Platform. 5. Artificial Intelligence of Sustainable Smart City Brain, Digital Twin, and Metabolism: Pioneering Data‑Driven Environmental Management and Planning. 6. Artificial Intelligence of Things for Harmonizing Smarter Eco‑City Brain, Metabolism, and Platform: An Innovative Framework for Data‑Driven Environmental Governance. 7. Artificial Intelligence and Its Generative Power for Advancing the Sustainable Smart City Digital Twin: A Novel Framework for Data‑Driven Environmental Planning and Design. 8. Transforming Smarter Eco‑Cities with Artificial Intelligence: Harnessing the Synergies of Circular Economy, Metabolic Circularity, and Tripartite Sustainability.
