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This introductory chapter sets the stage for the edited book titled, “Digital Twins for Smart Metabolic Circular Cities: Innovations in Urban Planning and Climate Resilience.” It establishes the foundation for this work by exploring the critical role of digital twin technologies in transforming urban planning and advancing climate resilience through the integration of smart urban metabolism and circular economy principles to create smart, sustainable, and resilient urban environments. It highlights the growing challenges posed by urbanization, climate change, and resource depletion, which necessitate new paradigms for urban management and planning that view cities as dynamic, living systems capable of adaptation and regeneration. Key themes that are covered include how digital twins act as virtual models that provide real-time data and actionable insights for optimizing urban resource flows, enhancing efficiency, and supporting data-driven decision-making processes. The convergence of Artificial Intelligence (AI), the Internet of Things (IoT), and digital twins is also discussed, demonstrating how these advanced technologies collectively enhance the modeling, monitoring, and optimization of urban environments, thus driving sustainability and climate resilience initiatives. The chapter further outlines the book's structure, which is divided into two main parts: the integration of digital twins with smart urban metabolism and circular economy frameworks in urban environments, and the role of digital twins in sustainable urban planning and climate resilience. Through a combination of theoretical insights and practical applications, it establishes the foundational concepts and sets the stage for a deeper exploration of innovative approaches to urban planning and climate resilience, leveraging cutting-edge technologies to address the pressing challenges faced by emerging sustainable smart cities today.