Smart Cities and Artificial Intelligence : Convergent Systems for Planning, Design, and Operations.

Format:

Book

Author/Creator:

Kirwan, Christopher Grant.

Series:

Smart Cities Series

Language:

English

Subjects (All):

Smart cities.

Artificial intelligence.

Physical Description:

1 online resource (382 pages)

Edition:

2nd ed.

Place of Publication:

Chantilly : Elsevier, 2025.

Summary:

Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations, Second Edition presents an integrated perspective on how cities are evolving as intelligent ecosystems shaped by the convergence of human, technological, and environmental systems.

Contents:

Front Cover

Smart Cities and Artificial Intelligence

Smart Cities

Series Editors

Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations

Copyright

Dedication

Contents

Preface

Editor's Notes to the Second Edition (2025)

References

Acknowledgments

Credits

Introduction

Convergence theory proposition

Fourth industrial revolution

The metamodern turn

Further reading

Description of each section

Section 1

Approach

Section 2

Architecture

Section 3

Application

Info system

1 - Evolution of cities/technologies

1.1 Overview of smart city concept and context

1.2 The evolution and integration of technology, AI, and cities

1.2.1 Evolutionary strategies

1.3 City DNA narratives

1.3.1 Beijing-the radiating megacity

1.3.2 London-the cosmopolitan hub

1.3.3 New York-the media metropolis

1.3.4 Dubai-the iconic branded city

1.3.5 Songdo-the new digital city

1.3.6 Masdar-the new sustainable city

1.3.7 NEOM-the future city

1.3.8 Summary

1.4 The dimensions of the city and potential for convergence

1.4.1 Physical/environment dimension

1.4.1.1 The city as evolution of space, form, and hardware

1.4.2 City systems, infrastructure dimension

1.4.2.1 The network of the city, the spine, and major organs

1.4.3 The human dimension

1.4.3.1 The city as a manifestation of human patterns and constructs

1.4.4 Culture, society, and governance dimension

1.4.4.1 The nuances of human civilization, behaviors, activities, desires, and relations

1.4.5 Digital infrastructure dimension

1.4.5.1 The city as evolution of systems, technologies, and software

1.4.6 The ubiquitous dimension.

1.4.6.1 The merging of technology with the natural environment in the form of embedded and ambient connectivity

1.5 How convergence theory applies to smart cities

1.6 Conclusion

1.7 Reflections/projections on convergence: 2020-2025-2030

2 - City as living organism

2.1 The city as a living organism

2.1.1 Concepts of space and representation

2.1.2 Dynamic, self-regulating systems in nature

2.1.3 Biomimicry

2.1.4 Biomimicry applied to human anatomy

2.1.5 City as extension of the human body

2.2 Principles of collective intelligence

2.3 City DNA

2.3.1 Cities as global brands/destinations

2.4 The role of data collection and mapping

2.4.1 Mapping the system

2.4.2 Mapping as the basis of smart cities

2.4.3 Real-time behavioral data

2.5 Conclusion

2.6 Reflections/projections on convergence: 2020-2025-2030

3 - Strategies, planning, and design

3.1 Criteria for planning and design of smart cities

3.1.1 Strategic goals

3.1.2 Outcome-based modeling

3.2 New approaches to innovation for planning and designing smart cities

3.2.1 Cities as living labs

3.2.2 City as hubs of innovation/innovation-driven cities

3.2.3 Co-design

3.2.4 Citizen centric cities

3.2.5 Design thinking

3.3 Convergence methodologies

3.3.1 Human-machine collaboration

3.3.2 Real-time visualization

3.3.3 Information architecture and Philosophy of Information

3.3.4 Real world/virtual simulation

3.3.5 Generative design and metadesign

3.3.6 Convergence development method: strategy, planning, design, and operations process

3.3.7 Convergence design method: design thinking/machine learning

3.3.8 Convergence application method: outcome-based AI scenario modeling

3.4 Conclusion.

3.5 Reflections/projections on convergence: 2020-2025-2030

4 - City operating systems

4.1 Overview of operating systems

4.2 The language and representation of systems architecture

4.2.1 The role of meta-architecture, information architecture and technical architecture in the design of smart city operating sy ...

4.2.2 Meta-architecture-principles and guidelines

4.2.3 Operating systems planning considerations

4.2.4 Operating systems design considerations

4.2.5 Information architecture and technical architecture

4.3 Representational hierarchy of cities as operating systems

4.3.1 City ecosystem

4.3.2 Smart city framework-the smart city mandala

4.3.3 OS behavioral typologies

4.3.4 Anatomy of operating systems

4.3.5 Smart city operating system flow

4.4 What is the correct OS?

4.5 New constructs-convergence-based city OS

4.5.1 Convergent OS

4.5.2 Co-development/open source/open data

4.5.3 Self-regulating systems

4.6 Conclusion

4.7 Reflections/projections on convergence: 2020-2025-2030

5 - Connectivity

5.1 Introduction

5.1.1 Connectivity itself will become intelligent

5.1.2 All living organisms are related within a frequency spectrum

5.2 Evolution of connectivity

5.3 The electromagnetic spectrum, frequencies, and bandwidth

5.3.1 Electromagnetic patterns, frequencies, and human energy fields

5.3.2 Electromagnetic spectrum

5.4 The role of machine learning and deep learning in intelligent connectivity

5.4.1 Radio Frequency Machine Learning Systems

5.4.2 The role of evolutionary algorithms in connectivity

5.5 Connectivity anatomy

5.5.1 The human body and neural networks as models of connectivity

5.5.2 The brain

5.5.3 Other organic models of connectivity.

5.5.4 The backbone of connectivity-telecommunication networks

5.5.5 The sensorial layer of connectivity

5.5.6 Mobile connectivity

5.6 Integrated networks and services

5.6.1 Industry 4.0-the basis of connectivity

5.6.2 Convergence connectivity

5.6.3 Intelligent connectivity using combination of 5G AI and IoT

5.6.4 Connectivity singularity

5.6.5 Smart objects

5.7 Conclusion

5.8 Reflections/projections on convergence: 2020-2025-2030

6 - Interface

6.1 City-wide interface-the city is an interface

6.1.1 City interface as an extension of the city OS

6.1.2 The city as an ecosystem-scale, boundaries bridging global and hyperlocal

6.1.3 Infrastructure as interface

6.2 City interface functions

6.2.1 Urban navigation

6.2.2 Urban media

6.2.3 Urban sensing

6.2.4 Urban interaction

6.3 City interface design practices

6.3.1 Theory and method of city interface design

6.3.2 Urban user experience

6.3.3 Urban interaction design

6.3.4 Urban simulation and digital twins

6.3.5 Digital twin

6.3.6 Interactions in the metaverse

6.4 Collective intelligence interface

6.4.1 Collective intelligence

6.4.2 Collective intelligence participation/interaction

6.4.3 Dynamic frames of reference

6.4.4 Human, nature, and machine: new combinations

6.5 Convergence Urban Interface

6.5.1 Total interface solution-AI/sensors/big data/pattern recognition

6.6 Conclusion

6.7 Reflections/projections on convergence: 2020-2025-2030

7 - Smart city scenarios

7.1 Introduction

7.2 Theory of systems change

7.2.1 Multi-level perspective

7.2.2 Convergence application

7.3 Smart mobility

7.3.1 Past-present-future

7.3.1.1 Evolution

7.3.1.2 Challenges

7.3.1.3 Directions

7.3.2 Object-action-outcome.

7.4 Smart environment

7.4.1 Past-present-future

7.4.1.1 Evolution

7.4.1.2 Challenges

7.4.1.3 Directions

7.4.2 Object-action-outcome

7.5 Smart people

7.5.1 Past-present-future

7.5.1.1 Evolution

7.5.1.2 Challenges

7.5.1.3 Direction

7.5.2 Object-action-outcome

7.6 Smart governance

7.6.1 Past-present-future

7.6.1.1 Evolution

7.6.1.2 Challenges

7.6.1.3 Direction

7.6.2 Object-action-outcome

7.7 Smart economy

7.7.1 Past-present-future

7.7.1.1 Evolution

7.7.1.2 Challenges

7.7.1.3 Direction

7.7.2 Object-action-outcome

7.8 Smart living

7.8.1 Past-present-future

7.8.1.1 Evolution

7.8.1.2 Challenges

7.8.1.3 Direction

7.8.2 Object-action-outcome

7.9 Conclusion

7.10 Reflections/projections on convergence: 2020-2025-2030

8 - Smart city functions

8.1 Introduction

8.2 Smart city enablers (hardware infrastructure)

8.2.1 Collection: IoT and low-energy consuming sensors

8.2.2 Processing: scalable computing power and storage through edge and cloud computing

8.2.3 Transmission: network infrastructure-5G

8.2.4 OS: AI smart city operating systems

8.3 Introduction to AI, AI applications, and capabilities (software infrastructure)

8.3.1 Capabilities-based AI

8.3.2 Functionality-based AI

8.3.2.1 Critical AI capabilities needed to power smart city functions

8.3.3 Computer vision

8.3.4 Natural language processing

8.3.5 Machine learning

8.3.6 Predictive analytics

8.3.7 Robotics

8.4 The convergence of AI applications within smart cities

8.4.1 Convergent applications

8.4.2 Hierarchy framework for scale and scope of smart city functions

8.5 Smart city functions

8.5.1 Smart environment

8.5.1.1 Macroscale/context

8.5.1.2 Mesoscale/content

8.5.1.3 Microscale/component.

8.5.1.4 Strategic functional objectives.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

0-443-23622-4

9780443236228

OCLC:

1559225153