Smart Cities: A System of Systems Perspective offers a comprehensive exploration of System of Systems Engineering (SoSE) principles as they pertain to the development of smart cities. This multidisciplinary volume delves into how analytics and innovative technologies can transform urban environments, equipping readers with the knowledge to optimize city operations, enhance public services, and promote sustainable urban growth. With a blend of theoretical foundations, practical methodologies, and real-world examples, this book serves as an essential guide for anyone interested in the future of urban living.
Structured into seven insightful parts, the book begins with the foundational concepts of SoSE and key principles of smart cities, exploring emergent behavior and interoperability. It then examines the integration of SoSE within urban infrastructure, highlighting the roles of IoT, AI, and machine learning. Subsequent sections focus on core technologies and analytical tools, including data analytics, predictive modeling, and decision support systems tailored for urban planning. Readers will also discover innovative solutions to pressing urban challenges, such as sustainability, cybersecurity, and governance, alongside detailed case studies showcasing successful smart city initiatives from around the globe.
This book is invaluable for academics and researchers in urban studies, engineering, analytics, IoT, and AI, as well as data scientists and analytics professionals working with urban datasets. Graduate and postgraduate students in engineering, analytics, computer science, or urban studies will find it a crucial resource, while educators designing courses on smart cities or system analytics can leverage its insights to enhance their curriculum. Whether you are a policymaker, planner, or industry professional,
Smart Cities: A System of Systems Perspective provides the tools and knowledge needed to navigate and shape the future of urban development.
