Fig. 1.1. The Dynamics of the Future...

Fig. 1.1.

The Dynamics of the Future Smart Cities

Fig. 2.1.

The Three Dimensions of Digital Transformation: Value Creation, Improved Relationship, and Operational Efficiency

Fig. 2.2.

Phases of Digital Transformation in Smart Cities

Fig. 2.3.

Impact of the COVID-19 Pandemic on Various Dimensions of Smart Cities

Fig. 3.1.

Smart City 5.0 – Open Architecture

Fig. 3.2.

Framework of Urban Digital Ecosystem

Fig. 3.3.

Basic AI-enabling Modules

Fig. 3.4.

The Fragment of the Virtual World for Autonomous Transportation in a Smart City

Fig. 3.5.

Ontology Designed for Illustrative Example: Transportation

Fig. 3.6.

Ontology Designed for Illustrative Example: Ambulance Services

Fig. 4.1.

Most Relevant Authors

Fig. 4.2.

Author Productivity by Lotka’s Law

Fig. 4.3.

Keyword Cloud Following Zipf’s Law

Fig. 4.4.

Countries

Fig. 4.5.

Relations Between the Countries

Fig. 4.6.

Main Scientific Sources

Fig. 6.1.

Map of Italy With the Cities That Have Drafted, Approved, and Adopted the SUMP Based on Data from https://www.Osservatoriopums.it/Osservatorio/Pums

109

Fig. 6.2.

Comparison Between the Existing Infrastructure Structure of the Three Case Studies

111

Fig. 8.1.

Comparison of City Branding in European and Slovak Cities Based on City Brand Hexagon

169

Fig. 8.2.

The Level of Exploitation of Digital Marketing Communication Tools in City Branding in Selected European and Slovak Cities

170

Fig. 8.3.

The Importance of Exploitation of Selected Tools of Digital Marketing Communication in City Branding in Selected European and Slovak Cities

172

Fig. 8.4.

Comparison of Exploitation Digital Communication for City Branding Between European and Slovak Cities

176

Fig. 12.1.

Automatic Coding with the Main Portfolio Terms

258

Fig. 12.2.

Methodology Used in the Articles

259

Fig. 12.3.

Sectors Approached by the Present Study

259

Fig. 13.1.

Chip on the Container

294

Fig. 13.2.

Platform for Vehicle and Container Tracing

295

Fig. 13.3.

Platform for Waste Management

296

Fig. 14.1.

The Indonesia Smart City Structure

304

Fig. 15.1.

The Integrated Approach to Digital Health in Smart Cities

320

Fig. 15.2.

Holistic Overarching Strategy for Next Generation Smart Healthcare

323

Fig. 15.3.

An indicative Research Model for studying for Next Generation Smart Healthcare

324

Fig. 16.1.

Framework for Constructing UHVI

329

Fig. 16.2.

Basic Ontology Classes

333

Fig. 16.3.

The Penalty Function

335

Fig. 16.4.

Flat Planning Diagram

337

Fig. 16.5.

Proactive Agents Diagram

338

Fig. 16.6.

Software UI

338

Fig. 16.7.

Connections Between Different Domain Ontologies in the Example of Spread of Time

343

Fig. 16.8.

Connections Between Different Domain Ontologies in the Example of Emissions

344

Fig. 16.9.

Hierarchy of System Layers

346

Fig. 16.10.

The Graphical Outputs of CSS to a Virtual Reality Environment

346

Fig. 1.1.	The Dynamics of the Future Smart Cities	2
Fig. 2.1.	The Three Dimensions of Digital Transformation: Value Creation, Improved Relationship, and Operational Efficiency	18
Fig. 2.2.	Phases of Digital Transformation in Smart Cities	21
Fig. 2.3.	Impact of the COVID-19 Pandemic on Various Dimensions of Smart Cities	23
Fig. 3.1.	Smart City 5.0 – Open Architecture	45
Fig. 3.2.	Framework of Urban Digital Ecosystem	46
Fig. 3.3.	Basic AI-enabling Modules	47
Fig. 3.4.	The Fragment of the Virtual World for Autonomous Transportation in a Smart City	50
Fig. 3.5.	Ontology Designed for Illustrative Example: Transportation	53
Fig. 3.6.	Ontology Designed for Illustrative Example: Ambulance Services	54
Fig. 4.1.	Most Relevant Authors	67
Fig. 4.2.	Author Productivity by Lotka’s Law	67
Fig. 4.3.	Keyword Cloud Following Zipf’s Law	68
Fig. 4.4.	Countries	68
Fig. 4.5.	Relations Between the Countries	69
Fig. 4.6.	Main Scientific Sources	69
Fig. 6.1.	Map of Italy With the Cities That Have Drafted, Approved, and Adopted the SUMP Based on Data from https://www.Osservatoriopums.it/Osservatorio/Pums	109
Fig. 6.2.	Comparison Between the Existing Infrastructure Structure of the Three Case Studies	111
Fig. 8.1.	Comparison of City Branding in European and Slovak Cities Based on City Brand Hexagon	169
Fig. 8.2.	The Level of Exploitation of Digital Marketing Communication Tools in City Branding in Selected European and Slovak Cities	170
Fig. 8.3.	The Importance of Exploitation of Selected Tools of Digital Marketing Communication in City Branding in Selected European and Slovak Cities	172
Fig. 8.4.	Comparison of Exploitation Digital Communication for City Branding Between European and Slovak Cities	176
Fig. 12.1.	Automatic Coding with the Main Portfolio Terms	258
Fig. 12.2.	Methodology Used in the Articles	259
Fig. 12.3.	Sectors Approached by the Present Study	259
Fig. 13.1.	Chip on the Container	294
Fig. 13.2.	Platform for Vehicle and Container Tracing	295
Fig. 13.3.	Platform for Waste Management	296
Fig. 14.1.	The Indonesia Smart City Structure	304
Fig. 15.1.	The Integrated Approach to Digital Health in Smart Cities	320
Fig. 15.2.	Holistic Overarching Strategy for Next Generation Smart Healthcare	323
Fig. 15.3.	An indicative Research Model for studying for Next Generation Smart Healthcare	324
Fig. 16.1.	Framework for Constructing UHVI	329
Fig. 16.2.	Basic Ontology Classes	333
Fig. 16.3.	The Penalty Function	335
Fig. 16.4.	Flat Planning Diagram	337
Fig. 16.5.	Proactive Agents Diagram	338
Fig. 16.6.	Software UI	338
Fig. 16.7.	Connections Between Different Domain Ontologies in the Example of Spread of Time	343
Fig. 16.8.	Connections Between Different Domain Ontologies in the Example of Emissions	344
Fig. 16.9.	Hierarchy of System Layers	346
Fig. 16.10.	The Graphical Outputs of CSS to a Virtual Reality Environment	346

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