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Smart Cities: A System of Systems Perspective

Engineering, Analytics, and Innovations for Sustainable Urban Development

  • 1st Edition - August 1, 2026
  • Latest edition
  • Editors: Iman Rahimi, Ali Emrouznejad, Mo Jamshidi, Amir Hossein Gandomi
  • Language: English

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… Read more

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Description

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.

Key features

  • Covers both theoretical foundations and practical methodologies and uses real-world examples to make the concepts accessible and actionable
  • Provides innovative strategies and tools to address the challenges faced by urban planners and system engineers, such as interoperability between systems, scalability, sustainability, and emergent behaviour management
  • Includes detailed, practical case studies of successful smart city projects worldwide, showcasing best practices, challenges, and lessons learned and offering valuable insights for replicating and adapting smart city solutions to diverse contexts
  • Explores cutting-edge technologies such as AI, IoT, 5G, and renewable energy integration, providing readers with an understanding of how these innovations are transforming urban systems and highlighting future trends and opportunities in smart city development
  • Offers decision-making and policy support frameworks, optimization techniques, and governance models to help readers navigate the complexities of multi-stakeholder collaboration

Readership

Academics and researchers in urban studies, engineering, analytics, smart city innovation, IoT, and AI; data scientists and analytics professionals including business analysts and data scientists working on urban datasets, as well as professionals applying AI, machine learning, and big data to city challenges; graduate and postgraduate students in engineering, analytics, computer science, or urban studies; educators designing courses on smart cities or system analytics

Table of contents

1. Introduction to System-of-Systems Engineering for Smart Cities

I. Foundations and Analytical Frameworks for Smart Cities as Systems of Systems

2. A System of Systems Approach for Smart City Development: Technological Innovation, Human-Centered Design, and Governance Challenges

3. Optimization and Decision Support for Smart Resilient Cities

II. Digital Infrastructure and Intelligent Urban Systems

4. Intelligent Cross-Layer Routing in IoT-Based Smart Cities

5. Intelligent Transportation Monitoring through UAV-Centric System of Systems Engineering

III. Smart Urban Services, Logistics, and Resilience

6. Enabling Technologies for Smart Urban Logistics and Supply Chains

7. A Digital Approach to Resilience and Safety of Citizens in Smart Cities

IV. Governance, Accountability, and Integrated Implementation

8. AI for Urban Governance: Decision Support, Citizen Engagement, and Co-Creation

9. Popular Financial Reporting: A Tool for Democratic Accountability in Smart Cities

10. Roadmap to a Successful Smart City: A Case Study of Sagar, India

Product details

  • Edition: 1
  • Latest edition
  • Published: August 1, 2026
  • Language: English

About the editors

IR

Iman Rahimi

Dr Iman Rahimi is an experienced Machine Learning Engineer and Data Scientist with over a decade in AI, optimisation, and high-performance computing. He specialises in developing, deploying, and managing advanced ML models, including LLMs and NLP systems, using TensorFlow, PyTorch, and scikit-learn. His expertise extends to GPU-accelerated computing, cloud data platforms (AWS, Azure), and scalable MLOps practices with FastAPI, Flask, and Django. He has led research in energy systems, optimisation, and delivering high-impact solutions for industry and academia. Iman is widely published, with numerous high-impact journal articles and edited books in AI, operations research, and data analytics.
Affiliations and expertise
University of Technology Sydney, Sydney, Australia.

AE

Ali Emrouznejad

Ali Emrouznejad is a Professor and Chair in Business Analytics at Surrey Business School, UK, and director of the Centre for Business Analytics in Practice. Recognized among the top 2% of influential scientists globally, he has extensive expertise in performance measurement, AI, and big data. A prolific author with over 250 publications and editor of Springer’s Business Analytics in Practice series, he collaborates on high-impact research projects funded by esteemed organizations worldwide.

Affiliations and expertise
Professor and Chair, Business Analytics, Surrey Business School, UK

MJ

Mo Jamshidi

Mo Jamshidi, Lutcher Brown Endowed Chair Professor at the University of Texas at San Antonio, is a globally renowned expert in systems engineering and control. A Fellow of IEEE, ASME, AAAS, and multiple academies, he has authored over 640 technical publications, including 63 books, and has supervised 40 PhD and 70 MS graduates worldwide. As a pioneer in systems of systems engineering, he has held distinguished roles with NASA, NATO, and the IEEE and continues to lead international initiatives and research in autonomous control and robotics.

Affiliations and expertise
Professor, University of Texas, San Antonio, USA

AG

Amir Hossein Gandomi

Amir H. Gandomi, PhD, is a leading researcher in global optimization and big data analytics, currently serving as a Professor of Data Science and an ARC DECRA Fellow at the University of Technology Sydney (UTS). With over 450 journal publications and 60,000 citations, he is among the most cited researchers worldwide. Dr. Gandomi has authored 14 books and received numerous accolades, including the IEEE TCSC Award and the Achenbach Medal. His editorial roles span several prestigious journals, and he is a sought-after keynote speaker in the fields of artificial intelligence and genetic programming. Previously, he held academic positions at the Stevens Institute of Technology and Michigan State University, where he contributed significantly to advancing knowledge in machine learning and evolutionary computation.

Affiliations and expertise
University of Technology Sydney, Australia