
Data as Infrastructure for Smart Cities
Institution of Engineering and Technology (Publisher)
Published on 29. January 2019
Book
Hardback
312 pages
978-1-78561-599-3 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 162 mm
Thickness: 22 mm
Weight
624 gr
ISBN-13
978-1-78561-599-3 (9781785615993)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Author
University College London, UK
University College London, UK
Content
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
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