Digital Twins
Transforming Urban Landscapes through Innovation
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Beschreibung
This book explores the transformative role of Digital Twin technology in shaping next-generation smart cities and urban ecosystems. It provides a comprehensive overview of how digital twins—dynamic virtual representations of physical assets, systems, and environments—enable real-time monitoring, simulation, and data-driven decision-making in complex urban infrastructures. The book covers the foundational concepts of digital twins, their integration with enabling technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), big data analytics, and cloud computing, and their practical applications across multiple domains of urban development. Key application areas discussed include transportation systems, energy management, healthcare services, infrastructure planning, public safety, and sustainable urban governance.
Beyond conceptual foundations, the book highlights practical frameworks, real-world case studies, and technological architectures that demonstrate how digital twin ecosystems can improve urban efficiency, resilience, and sustainability. It examines the critical role of data integration, predictive analytics, and IoT-driven connectivity in enabling intelligent city management and proactive decision-making. By presenting global examples and interdisciplinary perspectives, the book bridges the gap between theory and practice, illustrating how digital twins can optimise resource utilisation, enhance citizen services, and support sustainable urban transformation.
The book also addresses emerging challenges, ethical considerations, and future research directions in deploying digital twins for smart cities. Issues such as data governance, cybersecurity, interoperability, privacy, and implementation complexity are discussed alongside future trends, including AI-driven urban modelling, edge computing, immersive visualization, and next-generation connectivity. By combining technological insights with urban policy perspectives, this book serves as a valuable resource for researchers, policymakers, urban planners, and technology professionals seeking to understand and implement digital twin technologies for innovative and sustainable urban development.
This book explores the transformative role of Digital Twin technology in shaping next-generation smart cities and urban ecosystems. It provides a comprehensive overview of how digital twins—dynamic virtual representations of physical assets, systems, and environments—enable real-time monitoring, simulation, and data-driven decision-making in complex urban infrastructures. The book covers the foundational concepts of digital twins, their integration with enabling technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), big data analytics, and cloud computing, and their practical applications across multiple domains of urban development. Key application areas discussed include transportation systems, energy management, healthcare services, infrastructure planning, public safety, and sustainable urban governance.
Beyond conceptual foundations, the book highlights practical frameworks, real-world case studies, and technological architectures that demonstrate how digital twin ecosystems can improve urban efficiency, resilience, and sustainability. It examines the critical role of data integration, predictive analytics, and IoT-driven connectivity in enabling intelligent city management and proactive decision-making. By presenting global examples and interdisciplinary perspectives, the book bridges the gap between theory and practice, illustrating how digital twins can optimise resource utilisation, enhance citizen services, and support sustainable urban transformation.
The book also addresses emerging challenges, ethical considerations, and future research directions in deploying digital twins for smart cities. Issues such as data governance, cybersecurity, interoperability, privacy, and implementation complexity are discussed alongside future trends, including AI-driven urban modelling, edge computing, immersive visualization, and next-generation connectivity. By combining technological insights with urban policy perspectives, this book serves as a valuable resource for researchers, policymakers, urban planners, and technology professionals seeking to understand and implement digital twin technologies for innovative and sustainable urban development.
Advanced Digital Twin Architectures and Interoperability AI-Driven Predictive Analytics for Urban Sustainability Blockchain and Cybersecurity for Digital Twin Ecosystems
Autor*in
Sameena Naaz
Themen in »Digital Twins«
Digital Twin Internet of Things Artificial Intelligence Smart Cities Data Integration Machine Learning Smart Infrastructure Technology IoT Predictive Modelling Cyber-physical System Technology and Urban Resilience City Governance Smart city Ethical Considerations in Urban Technology