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Digital Twins for Smart Cities: Conceptualisation, challenges and practices

Author(s): Li Wan, Timea Nochta, Junqing Tang and Jennifer Schooling

£70.00
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Publication date: 19 April 2023
Digital version: Buy this eBook
Digital Twins for Smart Cities provides conceptual clarity and practical guidance for supporting city-scale digital twin (CDT) development. Digital twin technology has made great strides in the engineering and manufacturing sector over the past decade however there remains confusion to what a digital twin is and how they can be utilised successfull

Digital twin technology has made great strides in the engineering and manufacturing sector over the past decade, however, there remains confusion around what a digital twin is and how they can be utilised successfully at a city scale. Digital Twins for Smart Cities provides conceptual clarity and practical guidance for supporting city-scale digital twin (CDT) development, outlining challenges, showcasing real-life CDT practices globally, and offering socio-technical frameworks to compare CDT projects. Providing theoretical and practical guidance on digital twin development, this book covers

  • the purpose, trust and function of CDTs
  • case studies on city, district and subterranean assets of cities
  • comparisons of CDT cases
  • recommendations for putting CDTs into practice. 

Digital Twins for Smart Cities is a much-needed reference for urban designers and planners, built environment professionals, and digital-twin-related technology providers. 

Book reviews

A must read for smart city professionals and leaders.

Mark A Girolami, The Alan Turing Institute, UK

The book brings welcome clarity to hugely important subjects and I wholeheartedly commend it.

Mark Enzer, Mott MacDonald, UK

Essential reading for those interested in CDT research as well as city planners and managers who apply data and digital models to make decisions about the urban environment.

TD O'Rourke, Cornell University, USA


Li Wan is an Associate Professor in Planning at the Department of Land Economy, University of Cambridge, UK, modelling expert of urban transport and land-use systems and a co-investigator of the Cambridge Centre for Smart Infrastructure & Construction (CSIC). He is also the Course Director of the MPhil in Planning, Growth and Regeneration programme at Cambridge, and a Fellow of Gonville and Caius College. 

Timea Nochta is a Lecturer in the Institute of Local Government Studies at the University of Birmingham, UK. Her research centres on public governance, especially in the context of contemporary complex problems of digitalisation and decarbonisation.

Junqing Tang is an Assistant Professor and an Assistant Dean at the School of Urban Planning and Design, Peking University, UK. He specialises in resilience analytics and disaster risk management in smart and digital cities.

Jennifer Schooling OBE is Director of the Cambridge Centre for Smart Infrastructure and Construction (CSIC). She leads CSIC’s Digital Cities for Change project, which explores the sociotechnical aspects of digitalisation at the city scale, focussing on governance and ethical innovation to enable delivery of digital solutions for public value creation. Jennifer was awarded the OBE for services to engineering and digital construction in 2019.

Format: Hardback
ISBN: 9780727766007
Number of pages: 160
Product code: 9780727766007
Page size: 234 x 156mm
Publication status: Published
Publisher: ICE Publishing

Endorsements

Preface

About the authors

About the contributors

Part 1: City Digital Twins: Fundamentals, conceptualisation and challenges

1. Introduction

2. City digital twins (CDTs): A reviving trend

3. Conceptualising city digital twins (CDTs)

4. Practical challenges for city digital twin (CDT) development

Part 2: City Digital Twins: Case studies

Introduction

5. Case studies: City-scale digital twins

6. Case studies: District-scale digital twins

7. Case studies: Digital twins of subterranean assets

Part 3: Comparison of City Digital Twin case studies

8. Comparison of City Digital Twin case studies

9. Conclusion

Index

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