This book describes how smart cities can be designed with data at their heart, moving from a broad vision to a consistent city-wide collaborative configuration of activities. The authors present a comprehensive framework of techniques to help decision makers in cities analyse their business strategies, design data infrastructures to support these activities, understand stakeholders' expectations, and translate this analysis into a competitive strategy for creating a smart city data infrastructure. Readers can take advantage of unprecedented insights into how cities and infrastructures function and be ready to overcome complex challenges. The framework presented in this book has guided the design of several urban platforms in the European Union and the design of the City Data Strategy of the Mayor of London, UK.
About the Author
Dr Larissa Suzuki is an award-winning computer scientist, inventor and entrepreneur. Her career includes many years advancing the fields of computer science and engineering, including smart cities, data infrastructures, emerging technology, AI, and computing applied to medicine and operations research. Her continuing academic work is based at UCL where she serves as an Honorary Research Associate in Computer Science. Her current industry appointment is at Oracle where she is a Senior Product Manager for Automatic Machine Learning. She has published widely on the topic and is a frequent Keynote, conference, panel and tutorial speaker (including a TEDx and Insight Speaker at the IET Turing Lecture). She is the chair and founder of the Tech London Advocates Smart Cities, and serves as a judge and reviewer of the ACM Research competition.
Prof Anthony Finkelstein holds a Chair in Software Systems Engineering at University College London, UK, a senior appointment in HM Government and his continuing academic work is based at The Alan Turing Institute (ATI). He is a Fellow of the Royal Academy of Engineering and was awarded a CBE in the Queen's Birthday Honours list in 2016.
Table of Contents
- Chapter 1: Introduction
- Part I: Smart cities and data infrastructures
- Chapter 2: The evolution of urban intelligence
- Chapter 3: Smart cities
- Chapter 4: The management of city data
- Part II: The link between data infrastructures and business strategies
- Chapter 5: Services innovation and business models
- Chapter 6: The business models framework
- Chapter 7: The reference architecture framework
- Part III: Applied data infrastructures design
- Chapter 8: Introduction
- Part IV: Assessment and evolution of data infrastructure design
- Chapter 9: The dynamics and evolution of business models
- Chapter 10: Applied data infrastructures assessment
- Chapter 11: Conclusion