Smart Cities: A System-of-Systems Perspective explores System-of-Systems Engineering (SoSE) in smart cities. Sections address 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. 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.
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 also find it a crucial resource.
1. 1. Introduction to system-of-systems engineering for smart cities - p. 1 2. Part I: Foundations and analytical frameworks for smart cities as systems of systems - p. P1 3. 2. A system of systems approach for smart city development: technological innovation, human-centered design, and governance challenges - p. 23 4. 3. Optimization and decision support for smart resilient cities - p. 39 5. Part II: Digital infrastructure and intelligent urban systems - p. P81 6. 4. Intelligent cross-layer routing in IoT-based smart cities: a computational intelligence perspective on RPL enhancements, custom protocol design, open challenges, and future research directions - p. 83 7. 5. Intelligent transportation monitoring through unmanned aerial vehicle-centric system of systems engineering - p. 153 8. Part III: Smart urban services, logistics, and resilience - p. P187 9. 6. Enabling technologies for smart urban logistics and supply chains - p. 189 10. 7. A digital approach to resilience and safety of citizens in smart cities - p. 211 11. Part IV: Governance, accountability, and integrated implementation - p. P255 12. 8. Artificial Intelligence for urban governance: decision support, citizen engagement, and co-creation - p. 257 13. 9. Popular financial reporting: a tool for democratic accountability in smart cities - p. 273 14. 10. Roadmap to a successful smart city: a case study of Sagar, India - p. 295 15. Index - p. 329
Smart Cities: A System-of-Systems Perspective explores System-of-Systems Engineering (SoSE) in smart cities. Sections address 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. 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.
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 also find it a crucial resource.
1. 1. Introduction to system-of-systems engineering for smart cities - p. 1 2. Part I: Foundations and analytical frameworks for smart cities as systems of systems - p. P1 3. 2. A system of systems approach for smart city development: technological innovation, human-centered design, and governance challenges - p. 23 4. 3. Optimization and decision support for smart resilient cities - p. 39 5. Part II: Digital infrastructure and intelligent urban systems - p. P81 6. 4. Intelligent cross-layer routing in IoT-based smart cities: a computational intelligence perspective on RPL enhancements, custom protocol design, open challenges, and future research directions - p. 83 7. 5. Intelligent transportation monitoring through unmanned aerial vehicle-centric system of systems engineering - p. 153 8. Part III: Smart urban services, logistics, and resilience - p. P187 9. 6. Enabling technologies for smart urban logistics and supply chains - p. 189 10. 7. A digital approach to resilience and safety of citizens in smart cities - p. 211 11. Part IV: Governance, accountability, and integrated implementation - p. P255 12. 8. Artificial Intelligence for urban governance: decision support, citizen engagement, and co-creation - p. 257 13. 9. Popular financial reporting: a tool for democratic accountability in smart cities - p. 273 14. 10. Roadmap to a successful smart city: a case study of Sagar, India - p. 295 15. Index - p. 329
