Digital Twins for Smart Metabolic Circular Cities : Innovations in Planning and Climate Resilience.

Format:

Book

Author/Creator:

Bibri, Simon Elias.

Contributor:

Yigitcanlar, Tan.

Huang, Jeffrey.

Series:

Smart Cities Series

Language:

English

Physical Description:

1 online resource (346 pages)

Edition:

1st ed.

Place of Publication:

Chantilly : Elsevier, 2025.

Summary:

Digital Twins for Smart Metabolic Circular Cities: Innovations in Planning and Climate Resilience explores the advanced convergence of smart city technologies, digital twin applications, smart urban metabolism, and circular economy principles.

Contents:

Cover

Half title

Title

Copyright

Contents

Contributors

Biography

Foreword

Digital twins and algorithmic cities

Models and digital twins for cities

Digital twins and the fidelity challenge

Digital twins, urban metabolism, and climate neutrality

References

Preface

Acknowledgments

Book Description

Chapter 1 Introduction to digital twins for smart metabolic circular cities: Foundations, technologies, practices, and emerging trends

1.1 Harnessing digital twins and advanced technologies for smart urban metabolism and circular economy in sustainable smart cities

1.2 Convergence of AI, the IoTs, and digital twins for smart metabolic circular cities

1.3 The transformative role of AI-driven digital twins in advancing sustainable urban development and resilience

1.4 Background and context

1.5 Outlook and way forward

1.6 Objectives and themes

1.7 Source of contributions and employed methodologies

1.8 Contributions to the field

1.9 Implications and future directions

1.10 The structure of the book

1.11 Readership and how to approach the book

Chapter 2 Modeling urban metabolism as a complex heterogeneous graph to incentive environmentally sustainable practices

2.1 Introduction

2.2 Related work

2.2.1 Toward a new digital data infrastructure

2.2.2 From data to complex knowledge

2.2.3 Tracking progress with indicators

2.2.4 Graph-based machine learning

2.3 Methodology

2.3.1 Graph-based machine learning framework

2.3.2 Territorial ecological graph

2.3.3 Sustainable transition with AI

2.4 Results

2.4.1 Collecting data

2.4.2 Scenarios and results

2.5 Discussion

2.6 Conclusion

Acknowledgment

References.

Chapter 3 Creating a universal semantic material bank: Integrating digital twins and semantic web technologies for circular urban mining

3.1 Introduction

3.2 Conceptual definitions

3.3 Methodology

3.4 Results

3.4.1 An evolutionary overview of existing material bank prototypes and concepts

3.4.2 The universal semantic material bank framework

3.5 Discussion

3.5.1 Interoperability and universal semantic material bank

3.5.2 Socio-economic implications of universal semantic material bank

3.5.3 Limitations and future work

3.6 Conclusion

Acknowledgement

Chapter 4 Application of computational technologies in smart metabolic circular cities

4.1 Introduction

4.2 Conceptual definitions

4.2.1 Sustainability

4.2.2 Circular economy

4.2.3 Metabolic approach

4.2.4 Smart technologies

4.3 Methodology

4.4 Results and analysis

4.4.1 Annual research publication trend

4.4.2 Geospatial collaboration of research articles

4.5 Discussion

4.5.1 Computational technologies in SMCCs

4.5.2 Key features of SMCCs

4.5.3 Challenges and opportunities

4.5.4 Practical implications and future research directions

4.6 Conceptual framework

4.7 Conclusion

Chapter 5 Catalyzing smart urban metabolism through entrepreneurial ecosystem infrastructures: A regional approach to planning and implementation

5.1 Introduction

5.2 Methodology

5.3 Summary of literature review

5.4 Overview of technological infrastructures to enhance smart urban metabolism

5.4.1 Role of IoT in smart urban metabolism

5.4.2 Role of big data in smart urban metabolism

5.4.3 Role of AI in smart urban metabolism

5.4.4 Digital entrepreneurial ecosystems and their impact on urban metabolism

5.5 Overview of Tehran's urban and entrepreneurial ecosystem.

5.5.1 Socio-economic and cultural context of Tehran

5.5.2 Current state of Tehran's entrepreneurial ecosystem

5.5.3 Key technological/digital infrastructures

5.5.4 University's role in Tehran's innovation ecosystem

5.6 Discussion and implementation

5.6.1 Enhancing urban metabolism in Tehran

5.6.2 Proposed framework for implementation

5.6.3 Implications for research, practice, and policymaking

5.6.4 Limitations

5.7 Conclusion

Chapter 6 Leveraging digital twins for zero-energy building ratings in sustainable smart cities: A comprehensive review and novel framework

6.1 Introduction

6.2 Conceptual background

6.2.1 Sustainable smart cities

6.2.2 Digital twins for sustainable smart city management

6.2.3 Zero-energy building systems

6.2.4 Digital twins and zero-energy building systems in sustainable smart cities

6.3 Methodology

6.4 Results

6.4.1 Integration of artificial intelligence, artificial intelligence of things, and digital twins for sustainable smart cities

6.4.2 The role of digital twins, artificial intelligence, and the internet of things in enhancing energy management and sustainability in buildings and urban systems

6.4.3 Energy efficiency, energy sufficiency, and environmental performance

6.4.4 Digital twin technology for energy efficiency and thermal comfort in buildings

6.4.5 Digital twins for decarbonization and operational efficiency in buildings

6.4.6 Digital twin integration in energy management and smart buildings

6.4.7 Comparative analysis and improvements of building and green rating systems

6.4.8 Co-occurrence analysis: The role of digital twins in building rating systems

6.4.9 Derived insights into climate-resilient, zero-energy buildings

6.5 A novel framework for integrating digital twins

6.6 Discussion.

6.6.1 Summary of the key findings

6.6.2 Interpretation of the findings

6.6.3 Comparative analysis

6.6.4 Implications of findings

6.6.5 Limitations

6.6.6 Recommendations for future research

6.7 Conclusion

Chapter 7 Utilizing city digital twins to understand and mitigate climate change risks: A roadmap

7.1 Introduction

7.2 Literature review

7.2.1 Climate change and cities

7.2.2 Climate change and policymaking

7.2.3 City digital twin

7.3 Methodology

7.3.1 Literature review

7.3.2 Case studies

7.4 Results

7.4.1 Singapore digital twin, modeling the urban heat island phenomenon

7.4.2 Carson digital twin, real-time monitoring of the city's water systems

7.4.3 Herrenberg digital twin, fostering communication among stakeholders

7.4.4 Helsinki digital twin, detailing transport dynamics

7.4.5 Maryland digital twin, efficiency and sustainability

7.5 Discussion

7.5.1 Proactive policymaking approach

7.5.2 Digital twin roadmap for policymaking

7.5.3 Future research and study limitations

7.6 Conclusion

Chapter 8 Geospatial digital twins: Applications in sustainable urban planning

8.1 Introduction

8.2 Geospatial digital twins: A conceptual framework

8.2.1 Defining geospatial digital twins

8.2.2 The role of geographic information systems

8.2.3 Data integration in geospatial digital twins

8.3 Methodology

8.4 Results/Geospatial digital twins-based case studies

8.4.1 Mortlake, London

8.4.2 Jeonju City, South Korea

8.4.3 Uppsala, Sweden

8.4.4 Singapore

8.4.5 Liverpool-Western Sydney, Australia

8.4.6 Helsinki City, Finland

8.4.7 Barcelona, Spain

8.5 Discussion

8.5.1 Employing GIS functions in geospatial digital twins for sustainable development.

8.5.2 Challenges of applying geospatial digital twins for sustainable development

8.5.3 Implications for research, practice, community, and policymaking

8.5.4 Comparative studies

8.5.5 Future direction

8.5.6 Study limitations

8.6 Conclusion

Chapter 9 Urban digital twin for resilient urban planning: Opportunities and challenges in the Global South

9.1 Introduction

9.2 Conceptual framework

9.2.1 Achieving resilience in urban planning via smart city: Opportunities offered by UDTT

9.3 Methodology

9.4 Results

9.4.1 Resilient urban planning in the Global South countries: Challenges and bottlenecks

9.4.2 Opportunities for addressing resilient urban planning challenges through UDTT

9.5 Discussion

9.6 Conclusion

Chapter 10 Urban heat island mitigation with the urbesgg digital twins platform: A case study of Praça XV de Novembro, Florianópolis-SC, Brazil

10.1 Introduction

10.2 Literature review

10.3 Analytical method of the urbesgg digital twins platform

10.4 Case study: Praça XV de Novembro, Florianópolis-SC, Brazil

10.5 Methodological procedures

10.6 Results

10.7 Discussion

10.7.1 Implications for research, practice, and public policy formulation

10.7.2 Limitations

10.7.3 Future research suggestions

10.8 Conclusion

Index

Bibri_BC.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-443-33334-3

OCLC:

1521498562