Index

Smart Cities and Circular Economy

ISBN: 978-1-83797-958-5, eISBN: 978-1-83797-957-8

Publication date: 12 September 2024

This content is currently only available as a PDF

Citation

(2024), "Index", Kandpal, V., Santibanez-Gonzalez, E.D., Chatterjee, P. and Nallapaneni, M.K. (Ed.) Smart Cities and Circular Economy, Emerald Publishing Limited, Leeds, pp. 279-291. https://doi.org/10.1108/978-1-83797-957-820241022

Publisher

:

Emerald Publishing Limited

Copyright © 2024 Vinay Kandpal, Ernesto DR Santibanez-Gonzalez, Prasenjit Chatterjee and Manoj Kumar Nallapaneni. Published under exclusive licence by Emerald Publishing Limited


INDEX

Accelerated weathering
, 135

Accessibility
, 265

Advanced clean energy technologies
, 134

Afforestation
, 129

Agriculture
, 131

Air pollution by efficient transportation system, reduction of
, 170

Air quality improvement
, 131

Air quality index (AQR)
, 165

Akaike Information Criteria (AIC)
, 242

Alternating current (AC)
, 181

AMP Robotics
, 90

Amsterdam, Netherlands
, 65

Amsterdam Circular Challenge
, 29

Amsterdam Circular Innovation Programme
, 29

‘Amsterdam City Doughnut’ initiative
, 28–29

Amsterdam’s Circular Buiksloterham project
, 45

Amsterdam’s circular construction practices
, 30

Analytic approach
, 34

Artificial intelligence (AI)
, 2, 10, 50, 52, 68, 72, 84, 98, 100, 140–141, 148–150, 216–217

AI-based data services
, 54

AI-driven data collection and analysis
, 87–88

AI-driven sorting systems
, 87

AI-enabled predictive analytics
, 86

AI-enhanced waste management and recycling
, 90

background and context of CE in smart cities
, 84–85

behavioural insights and citizen engagement
, 91–92

benefits and challenges of AI-enhanced CE in smart cities
, 93

call for collaborative efforts
, 93

case study
, 228–229

citizen engagement and behaviour analysis
, 87

complex data handling and analysis
, 86

efficiency in circular supply chains
, 86

enhanced waste management
, 87

explanation of IoT sensors and data collection mechanisms
, 88

future potential
, 93

literature review
, 216–219

policy effectiveness and adaptation
, 87

predictive analytics for CE planning
, 88–89

predictive capabilities for optimization
, 86

in processing and analysing vast datasets
, 88

product design and lifecycle analysis
, 91

rationale for integrating AI technologies into CE practices
, 86–87

regulatory compliance and policy adaptation
, 92

research objectives
, 85

research scope
, 86

resource tracking and circular supply chain optimization
, 89

scope and future work
, 230

sustainable product design
, 87

use of AI
, 219–228

ASEAN Free Trade Area (AFTA)
, 40–41

Assessment process
, 30

Association of South-East Asian Nations (ASEAN)
, 37, 238–239

Economic Community
, 44

Augmented reality (AR)
, 267

Automated driving systems
, 199

Automation
, 2, 17–18

Autonomous vehicles revolutionizing urban mobility
, 202–203

Autoregressive distributed lag (ARDL)
, 236–237, 239, 241

Bounds Approach
, 242

Avatars
, 271

Balance of Plant (BoP)
, 181

Barriers and challenges

circular economy in smart cities with available
, 139–140

content analysis
, 147–150

descriptive analysis
, 142–147

limitations and scope for future research
, 154–155

methodology
, 141–142

practical implications
, 154

results
, 142–150

theoretical implication
, 154

Battery electric vehicles (BEVs)
, 183

Behaviour analysis
, 87

Behavioural change
, 135

Bibliometric analysis (see also Content analysis)
, 10, 18–19, 141–142, 152, 154

data analysis and result
, 11–16

data collection
, 10–11

future work
, 20

identification of research gaps
, 11

limitations
, 19

methodology
, 10–11

results
, 17

theoretical implementations
, 18–19

top co-authorship analysis
, 14–16

top journals, authors and countries
, 11–13

top key areas of smart cities and CE
, 14

Bibliometric data
, 12–13

Big data
, 68, 72

analysis techniques
, 227

analytics
, 10

Bio economy (BE)
, 50–52

Biodiversity conservation
, 130

Blockchain technology
, 61, 109–110, 153

Blue economy
, 27

Breusch–Godfrey LM test
, 242

Brightfiber Textiles
, 28–29

Building Circularity Index (BCI)
, 30

Bus Rapid Transit systems (BRT systems)
, 198

Business model
, 26–27

Business organizations
, 120–121

California, HFCVs
, 187

Capital accumulation
, 248, 253

Car-sharing, FCVs
, 188

Carbon capture and removal technologies
, 135

Carbon capture and storage (CCS)
, 177

Carbon dioxide (CO2)
, 126

Carbon footprints via green initiatives, reduction in
, 170–171

Carbon removal and capture
, 132

Carbon sequestration process
, 132

Causality
, 243

analysis
, 248–253

China, HFCVs
, 187

Circular Buiksloterham project
, 29

Circular business models
, 80

Circular construction practices
, 29–30

Circular economy (CE)
, 10, 24, 50, 52–53, 59–61, 72, 84, 127, 139–140, 215–216

Amsterdam, Netherlands
, 28, 65

Amsterdam Circular Innovation Programme
, 29

background and context of CE in smart cities
, 84–85

behavioural change
, 128–129

case studies and comparative analysis
, 75–76

case studies around world
, 28, 33, 64, 66

CE–IoT architecture for smart city
, 55–56

challenges in achieving
, 127–129

challenges in implementation
, 73

circular construction practices
, 29–30

circular textile industry
, 28–29

Columbian waste management system
, 65–66

comparative insights
, 76

conceptual framework for CE in smart cities
, 74

cross-sector collaboration
, 78

data analysis procedure
, 34

design
, 33

different phases of industrial revolution
, 60–63

economic implications
, 127–128

emergence and evolution of concepts
, 72

emerging trends in smart city technologies and CE principles
, 79–80

enhancing CE infrastructure
, 77–78

equity, constitution justice
, 129

European context
, 75–76

future directions and research opportunities
, 79–80

global perspectives
, 76

industrial transformation
, 128

industry 4.0 scenario in
, 55

integration of
, 72

legal frameworks for circular economy initiatives
, 63–64

leveraging digital platforms
, 78

methodology
, 33–34

natural carbon removal
, 129

overcoming barriers
, 73

paradigm
, 10

policy implications
, 42–45

policy recommendations
, 77

PPP model in Suzhou, China
, 67–68

product design
, 66

rationale for integrating AI technologies into
, 86–87

remanufacturing
, 66–67

research scope and contributions
, 73

sample
, 33

Seoul, South Korea
, 30–33

smart city technologies and CE implementation
, 73–75

stakeholder engagement and community involvement
, 78–79

strategies for overcoming barriers
, 77–78

Strategy for HCMC
, 39

SWOT analysis of HCMC in implementing CE
, 34–42

symbiosis between IoT and
, 53–55

technological innovations
, 77, 127

theoretical framework on
, 26–28

top key areas of
, 14

unexplored areas in smart cities and CEs
, 79

in urban context
, 74

Circular economy practices (CEP)
, 126

advanced clean energy technologies
, 134

carbon capture and removal technologies
, 135

case studies
, 133–134

challenges in achieving CE
, 127–129

commitment to net-zero emissions
, 134

contributions
, 126–127

Energiewende
, 133–134

environmental and equity justice
, 135

future research trends and recommendations
, 134–135

grid integration and energy storage
, 134–135

opportunities for ecological sustainability
, 129–131

renewable energy success
, 134

social and behavioural change
, 135

structure
, 127

sustainable materials
, 135

wind power and energy transition
, 133

Circular Innovation District
, 73

Circular supply chains

efficiency in
, 86

optimization
, 89

Circular textile industry
, 28–29

Circularity index
, 30

Citizen engagement
, 87, 198

Climate change
, 177

mitigation
, 131

Closed Substance Cycle and Waste Management Act (1996)
, 28

Closed-circuit television (CCTV)
, 54

Cloud analysis
, 147–148

Co-authorship analysis
, 14–16

Cobb–Douglas production function
, 240

Coding process
, 34

Cointegration analysis
, 236–237, 247

Columbian waste management system
, 65–66

Commercialization
, 179

Community
, 130

community-based approaches
, 79

involvement
, 78–79

Commuters
, 271

Comparative analysis
, 76

Comprehensive and Progressive Agreement for Trans-Pacific (CPTPP)
, 40–41

Conceptualization
, 178

Conference of Parties 26 (COP 26)
, 176

Connected vehicles
, 267

Constitution justice
, 129

Consumer behavior, impact of ESG reporting on
, 112–113

Content analysis
, 147–150

countries collaborations world map
, 150

keyword analysis
, 147–149

thematic analysis
, 149–150

Control systems
, 181

Conventional combustion vehicles
, 176

Corporate equity
, 130

Corporate ESG reporting, importance of
, 110–113

Corporate responsibility, disclosure of ESG performance as
, 113–116

Corporate Social Responsibility (CSR)
, 62

function
, 108

and profitability as business objectives
, 113–114

promotion of diversity and inclusion as
, 114–115

Corporate sustainability reporting, challenges for
, 116–117

Cradle-to-cradle
, 27

Cumulative sum (CUSUM)
, 242

Customer relationship management (CRM)
, 53–54

Customers
, 112

Cutting-edge technologies
, 10

Cyber physical systems (CPS)
, 50–52

Data analysis
, 54

procedure
, 34

Data analytics
, 98, 100

Data collection mechanisms, explanation of
, 88

Data-driven decision-making
, 261–262

Database management systems (DBMS)
, 53–54

Decision–makers
, 6

Deep learning technologies
, 140

Delhi Metro
, 161, 169–171

electric mobility
, 171

fulfilment of energy needs through renewal energy
, 169–170

reduction in carbon footprints via green initiatives
, 170–171

reduction of air pollution by efficient transportation system
, 170

save energy in natural ways
, 170

Delhi Metro Rail Corporation (DMRC)
, 170

Descriptive analysis
, 142–147

main information
, 142–143

most cited and relevant sources and citations
, 144–146

relevant affiliations and countries
, 146–147

scientific annual production and average total citation per year
, 144

Developing economies
, 198

Digital age, ergonomic workspaces in
, 3–4

Digital city
, 28

Digital platforms
, 78

Digital twins
, 265–266

Digitalization
, 61–62, 80, 147–148

Direct air collection
, 135

Diversity, equity and inclusion (DEI)
, 112

Diversity as CSR, promotion of
, 114–115

Dynamic OLS (DOLS)
, 240

E-business system
, 61

E-governance
, 198

Eco-industrial parks (EIPs)
, 32

Ecological sustainability

air quality improvement
, 131

biodiversity conservation
, 130

carbon removal and capture
, 132

conservation of natural habitats
, 132

energy independence
, 130

enhanced ecosystem resilience
, 133

enhanced resilience
, 130

global leadership and cooperation
, 133

good health and well-being benefits
, 129–130

impact in environmental context
, 131–133

mitigating climate change
, 131

opportunities for
, 129–131

promotion
, 132

renewable energy expansion
, 132

social and corporate equity
, 130

sustainable agriculture practices
, 132–133

sustainable and precision agriculture
, 131

sustainable transportation
, 130

Economic barriers
, 184

Economic growth
, 236–237

Economy, smart city technologies in developing
, 198–199

Ecosystems
, 130

of smart city
, 100

Electric cars
, 185, 196

Electric mobility
, 171

Electric motor
, 181

Electric vehicles (EVs)
, 162, 176, 195–196, 201–202

Electrolyte membrane
, 180

Embodiment
, 265

Emerging markets
, 229

Emissions reduction strategies
, 126–127

Employees in Industry 4.0
, 4–5

Energiewende programme
, 133–134

Energy efficiency
, 182–183, 227

Energy independence
, 130

Energy management
, 227

Energy storage
, 134–135

Energy transition
, 133

Engagement
, 2–3

Enhanced ecosystem resilience
, 133

Enhanced resilience
, 130

Enhanced waste management
, 87

Enterprise resource planning (ERP)
, 53–54

Entrepreneurial ventures
, 117–118

Environment
, 169

Environment, Social and Governance (ESG)
, 61

Environmental, Social and Governance reporting (ESG reporting)
, 108, 110

benefits of good ESG performance
, 111–112

CSR and profitability as business objectives
, 113–114

determinants of ESG disclosure
, 115–116

disclosure of ESG performance as corporate responsibility
, 113–116

impact of ESG reporting on consumer behavior
, 112–113

performance
, 110–111

promotion of diversity and inclusion as CSR
, 114–115

Environmental barriers
, 185

Environmental issues
, 228

Environmental justice
, 135

Environmental sustainability
, 80

Equity
, 129

Equity justice
, 135

Ergonomic workspaces in digital age
, 3–4

profound impact on well-being and productivity
, 3–4

Europe, HFCVs
, 187–188

European context
, 75–76

European Free Trade Association (EFTA)
, 40–41

Extant literature
, 161

Extended producer responsibility (EPR)
, 63

Fairphone (Amsterdam-based smartphone manufacturing company)
, 229

Faster Adoption and Manufacturing of Hybrid and Electric Vehicles (FAME) II scheme
, 201

Feasibility
, 189

Financial constraints
, 75

Financial Fund for Urban Development, The
, 65

Financial ramifications
, 128

Firms
, 117–118

Fuel cell
, 176

stack
, 180

Fuel cell hybrid vehicle (FCHV)
, 179

Fuel cell vehicle (FCV)
, 176

Geographic information system (GIS)
, 265

Global E-Waste Monitor white
, 229

Global economy
, 215–216

Global initiatives
, 110

Global Reporting Initiative (GRI)
, 116

Global temperatures
, 131

Global urbanization
, 10

Google
, 134

Granger non-causality, Toda–Yamamoto approach to
, 243

Green and Blue Infrastructure (GBI)
, 153

Green economy (GE)
, 50–52

Green initiatives, reduction in carbon footprints via
, 170–171

Green technologies
, 80

Greenhouse gas (GHG) emissions
, 126, 161, 196

Grid integration
, 134–135

Helsinki’s MaaS system
, 196

Ho Chi Minh City (HCMC)
, 24–25, 37–38, 40–42, 44

diversified economic sectors
, 36

SWOT analysis of HCMC in implementing CE
, 34–42

Honda
, 179

Human–centred workplace in Industry 4.0

autonomy and collaboration
, 4–5

background and context
, 2

case studies and practical implementations
, 5–6

ergonomic workspaces in digital age
, 3–4

purpose and scope of conceptual paper
, 3

Siemens’ factory of future
, 5–6

significance of human-centred workplaces in Industry 4.0
, 2–3

Spotify’s agile squads
, 5

strategies
, 6

Hydrogen (H2)
, 176–177, 179

fuel cells
, 176–177

storage
, 180

Hydrogen fuel cell vehicles (HFCVs)
, 176

benefits
, 181–183

brief overview of
, 176

California
, 187

case studies
, 186–189

18th century beginnings
, 177

challenges and barriers to HCFV’s successful deployment
, 183–185

China
, 187

commercialization
, 179

conceptualization
, 178

early 19th century
, 178

economic barriers
, 184

energy efficient
, 182–183

environmental barriers
, 185

environmental benefits
, 182

Europe
, 187–188

examples of successful HFCV deployments
, 186–188

expanding infrastructure
, 179

explanation of basic principles of hydrogen fuel cells
, 179–180

first commercial deployment
, 178–179

government initiatives
, 188–189

historical context of hydrogen fuel cell technology
, 177–178

historical development
, 177–179

hydrogen fuel cells work
, 179–181

importance of hydrogen as clean energy source
, 176–177

Japan
, 187

key components of hydrogen fuel cell system
, 180–181

legal barriers
, 185

milestones in development of
, 178–179

political barriers
, 183

range and refuelling advantages
, 183

real-world applications for net-zero future
, 188

research and development
, 179

social barriers
, 184

South Korea
, 187

space race and NASA
, 178

suggestions
, 189–190

technical and infrastructure barriers
, 184–185

Hyundai
, 179

Immersion
, 264–265

Immersive virtual experiences
, 261–262

Inclusion as CSR, promotion of
, 114–115

Indian Ministry of Transport, The
, 201

Industrial revolution, different phases of
, 60–63

Industrial Symbiosis (IS)
, 32–33

Industrial transformation
, 128

Industrial wireless sensor networks (IWSNs)
, 205–206

Industries
, 128

Industry 4.0
, 2–3

empowering employees in
, 4–5

scenario in CE
, 55

significance of human-centred workplaces in
, 2–3

Information and communication technology (ICT)
, 72, 99, 162, 194, 262–263

Infrastructure barriers
, 184–185

Integrated smart transportation technologies
, 199

Integrated transportation systems
, 200–201

Intelligent garbage classification technology
, 227

Intelligent traffic management systems
, 227

Intelligent transportation systems (ITS)
, 168–169, 197, 267

WSNs for
, 205–206

Interactivity
, 265

Interdisciplinary research
, 10, 14

International data corporation report
, 55–56

International Energy Agency (IEA)
, 186

Internet of Things (IoT)
, 2, 10, 17–18, 50, 72, 98, 147–150, 218, 228

CE–IoT architecture for smart City
, 55–56

industry 4.0 scenario in CE
, 55

linear economy vs. CE
, 52–53

opportunities and challenges in implementing IoT–CE infrastructure
, 56–57

protocols
, 206–207

sensors
, 88

symbiosis between IoT and CE
, 53–55

Intrusion detection system (IDS)
, 205–206

Japan, HFCVs
, 187

Jarque–Bera statistics (JB statistics)
, 242

Keyword co-occurrence analysis
, 148–149

Korean Environmental Industry & Technology Institute (KEITI)
, 45

Kozaza (home-sharing platform)
, 32

Kyoto Protocol
, 126

Law on Environmental Protection (2020)
, 40

Legal barriers
, 185

Legal frameworks for circular economy initiatives
, 63–64

Life Cycle Assessment (LCA)
, 90

Lifecycle analysis
, 91

Linear ‘take, make, dispose’ model
, 72, 84–85

Linear economy
, 52–53, 60

Long-run results
, 247–248

Machine learning (ML)
, 50, 52, 68, 104, 140

Mental health
, 3

Metaverse
, 261–262

potential to smart city planning
, 265–266

smart technology of
, 264–265

Metaverse-driven mobility
, 262, 266, 272

challenges and alternative remedies
, 272–274

smart city and
, 262–266

Metro cities
, 164–165

Micro-mobility, solutions for
, 203–204

Ministry of Construction, The
, 255–256

Mixed reality (MR)
, 265–266

Mobility
, 266–272

comparing urban and virtual
, 269–272

urban
, 267–268

virtual
, 268–269

Mobility as a Service (MaaS)
, 195–196, 204–205

Monetization
, 265

Multiple Country Publication (MCP)
, 146–147

Municipal solid waste (MSW)
, 34–35

Nanum Car
, 31–32

National Action Plan on Green Growth
, 39

National Aeronautics and Space Administration (NASA)
, 178

Natural carbon removal
, 129

Natural habitats, conservation of
, 132

Natural processes
, 129

Net-zero economy
, 132

Net-zero emissions, commitment to
, 134

Net-zero future, real-world applications for
, 188

Netherlands, best practices of smart mobility in
, 197

Network analysis metrics
, 18–19

Nitrogen oxides (NOx)
, 131

Nongovernmental organizations (NGOs)
, 31, 64

Ontologies
, 200

Ordinary least squares (OLS)
, 240

Original equipment manufacturer (OEM)
, 66–67

Oxygen supply
, 180

Oyster card system
, 200

Paris Climate Agreement (PCA)
, 176

People, place and technology (PPT)
, 262–263

Personal mobility
, 188

Personalized learning
, 3

Planet, approach to
, 119–120

Plug-in electric vehicles (PEVs)
, 201

Policy and regulatory frameworks
, 75

Policy changes
, 129

Policy effectiveness and adaptation
, 87

Power electronics
, 181

Precision agriculture
, 131

Predictive analytics for CE planning
, 88–89

Process management
, 224

Process optimization
, 221

Product design process
, 66, 91

Product lifecycle (PLC)
, 55

Product lifecycle management (PLM)
, 53–54

Product-as-a-service
, 36

Productivity
, 3–4

Profitability
, 115, 120

CSR and profitability as business objectives
, 113–114

Public procurement process
, 65

Public transport electrification
, 199

Public–private partnership (PPP)
, 64

model in Suzhou, China
, 67–68

Qualitative content analysis methodology
, 34

Qualitative measures
, 19

Qualitative research
, 33

Quality of life
, 160

Quantum key distribution (QKD)
, 206–207

Rail-based MRTS
, 169

Real-time traffic management
, 199

Recycle and reduced waste management
, 225–226

Recycling
, 24

Reduce, Reuse and Recycle (3R)
, 100–101

Reforestation
, 129

Regenerative design
, 27

Regional Comprehensive Economic Partnership
, 44

Regression techniques
, 239

Remanufacturing
, 66–67

Renewable energy
, 80

sources
, 132

success
, 134

Renewal energy, fulfilment of energy needs through
, 169–170

Research methods
, 101

Resource availability optimization
, 219

Resource efficiency
, 100–101

Resource management
, 73

Resource optimization
, 75, 85, 140

Resource tracking
, 89

Resource usage optimization
, 219

Responsible consumption and production
, 78

Reuse, reduce, recycle and reuse framework (4R framework)
, 118

Ridesharing platforms
, 199

Scopus database
, 19, 155

Self-driving cars
, 208

Seoul, South Korea
, 30–33

industrial symbiosis
, 32–33

sharing economy in
, 31–32

Zero Waste and Resource Circulation Plan
, 31

Seoul Sharing City project
, 31

Sharing Economy initiative, The
, 31

Short-run results
, 247–248

Singapore Green Label certification
, 45

Single Country Publication (SCP)
, 146–147

Small and medium-sized enterprises (SMEs)
, 75–76

‘Smart Bins’ project
, 88

Smart circular cities
, 80

Smart cities
, 10, 57, 72, 85, 98–100, 140, 149, 160, 194–195, 216, 262, 266

analysis
, 101–103

architecture
, 99

background and context of CE in
, 84–85

benefits and challenges of AI-enhanced CE in
, 93

CE–IoT architecture for
, 55–56

challenges of urban mobility
, 162–165

and components
, 262–263

data analytic and AI
, 100

Delhi Metro
, 169–171

implementation in
, 75–76

implications and scope for future work
, 104

integration of
, 72

ITS
, 168–169

literature review
, 99, 101, 161, 165

Metaverse’s potential to smart city planning
, 265–266

paradigm
, 140

practical implications
, 171–172

rail-based MRTS
, 169

real case studies
, 164–165

research methodology
, 165–166

research methods
, 101

resource efficiency
, 100–101

results
, 166–171

smart cities
, 162

smart energy
, 102–103

smart health
, 102

smart safety
, 103

smart technology and smart mobility
, 166–168

smart technology of metaverse
, 264–265

smart transportation
, 101–102

smart urban mobility
, 162

top key areas of
, 14

unexplored areas in
, 79

Smart Cities Mission (SCM)
, 198, 201–202

Smart city technologies (SCTs)
, 195, 199

and CE implementation
, 73–75

autonomous vehicles revolutionizing urban mobility
, 202–203

barriers and challenges to implementation
, 74–75

best practices of smart mobility in Netherlands
, 197

CE in urban context
, 74

challenges facing in sustainable urban mobility
, 207–208

conceptual framework for CE in smart cities
, 74

emerging trends in smart city technologies and CE principles
, 79–80

EVs
, 201–202

in developing economy
, 198–199

integrated transportation systems
, 200–201

key initiatives of smart city technologies for sustainable urban mobility
, 199

MaaS
, 204–205

merits of sustainable urban mobility in smart city
, 197–198

smart cities and sustainable urban mobility
, 195–197

smart transportation communication protocols
, 206–207

solutions for micro-mobility
, 203–204

WSNs for ITS
, 205–206

Smart education
, 161

Smart energy
, 102–103

‘Smart everything’ model
, 140

Smart health
, 102

Smart mobility
, 196, 262–263

best practices of smart mobility in Netherlands
, 197

indicators
, 197

Smart parking systems
, 203

Smart safety
, 103

‘Smart Street Bin’ project
, 87–88

Smart technology
, 153, 197, 263

integration
, 147–148

of metaverse
, 264–265

and smart mobility
, 166–168

Smart towns
, 140–141

Smart traffic management systems
, 196, 203–204

Smart transportation
, 101–102

Social barriers
, 184

Social change
, 135

Social equity
, 130

Solid waste management–based process optimization
, 219–220

Solow framework
, 236–237

South Korea, HFCVs
, 187

Space race
, 178

Special purpose vehicle (SPV)
, 67

Spotify’s agile squads
, 5

Stakeholder engagement
, 78–79

Structural break tests
, 245–247

Sulphur dioxide (SO2)
, 131

Supply chain–related process optimization
, 221

Sustainability
, 20, 50, 52, 85, 108, 119–120, 147–148, 199

goals
, 197–198

triple bottom line approach to
, 118–120

Sustainable agriculture
, 131

practices
, 132–133

Sustainable CE
, 35

Sustainable cities and communities
, 194

Sustainable city
, 194

Sustainable consumption
, 118

Sustainable design
, 224–225

Sustainable development
, 50

accomplishing SDGs as entrepreneurial objectives
, 117–118

benefits of good ESG performance
, 111–112

challenges for corporate sustainability reporting
, 116–117

disclosure of ESG performance as corporate responsibility
, 113–116

ESG performance
, 110–111

importance of corporate ESG reporting
, 110–113

initiatives taken by global firms for sustainable development
, 116–118

research gap and relevance of study
, 108–110

sustainable consumption and 4R
, 118

triple bottom line approach to sustainability
, 118–120

Sustainable energy technologies
, 127

Sustainable hydrogen production methods
, 185

Sustainable materials
, 135

Sustainable mobility

challenges of urban mobility
, 162–165

Delhi Metro
, 169–171

ITS
, 168–169

literature review
, 161–165

practical implications
, 171–172

rail-based MRTS
, 169

real case studies
, 164–165

research methodology
, 165–166

results
, 166–171

smart cities
, 162

smart technology and smart mobility
, 166–168

smart urban mobility
, 162

Sustainable outcome
, 61

Sustainable product design
, 87

Sustainable transportation
, 130, 188, 274

Sustainable urban development project
, 29

Sustainable urban mobility
, 195–197

challenges facing in
, 207–208

initiatives
, 208

key initiatives of smart city technologies for
, 199

merits of sustainable urban mobility in smart city
, 197–198

Sustainable urban transportation
, 208

Suzhou, China, PPP model in
, 67–68

SWOT analysis
, 42

of HCMC in implementing CE
, 34–42

opportunity
, 39–41

strength
, 34–37

threats
, 41–42

weaknesses
, 37–39

Take-back programs
, 36

‘Take-make-dispose’ model
, 59–60

Technical barriers
, 184–185

Technological innovations
, 77

Technological revolution
, 2–3

Technology
, 99

Teleportation
, 261–262

Thematic analysis
, 149–150

Thematic map
, 153

Toda-Yamamoto method
, 239

to Granger non-causality
, 243

Tomra Systems
, 90

Tourism sector
, 37

Toyota
, 179

Transport
, 171

Transportation networks
, 85

Transportation system
, 206–207

reduction of air pollution by efficient
, 170

Triple bottom line theory
, 120

approach to people
, 118–119

approach to planet
, 119–120

approach to profit
, 120

to sustainability
, 118–120

UN environment programme
, 165

Unit root
, 245–247

United Nations Development Programme (UNDP)
, 50

United Nations Framework Convention on Climate Change (UNFCCC)
, 126

United Nations’ Principles of Responsible Investment (UNPRI)
, 115

United Nations’ sustainable development goals (SDGs)
, 18–19, 50, 109, 194

as entrepreneurial objectives
, 117–118

Urban context, CE in
, 74

Urban development
, 255

Urban energy management
, 227

Urban environment
, 139–140

‘Urban Mining’ programme
, 30

Urban mobility
, 170–171, 267–268

autonomous vehicles revolutionizing
, 202–203

challenges of
, 162–165

Urban planning
, 265

Urbanization
, 152, 162–163, 236–237

Value added tax (VAT)
, 222–223

Value creation
, 24–25

Vector autoregressive model (VAR model)
, 242

Vehicle-to-everything communications (V2X communications)
, 206–207

Vietnam
, 236

ARDL bounds approach
, 242

causality analysis
, 248–253

cointegration analysis
, 247

data
, 243–244

estimations
, 243–253

literature review
, 237–240

long-run and short-run results
, 247–248

methodology
, 240–243

model
, 240–243

policy implications
, 255–256

Toda–Yamamoto approach to Granger non-causality
, 243

unit root and structural break tests
, 245–247

Vietnamese government
, 39–40

Virtual mobility(see also Urban mobility)
, 268–269

Virtual reality (VR)
, 265

Waste management
, 194–195

Waste reduction
, 84, 87

strategies
, 84

Well–being
, 2–3

profound impact on
, 3–4

Wind power
, 133

Wireless sensor networks (WSNs)
, 200

for ITS
, 205–206

Zen Robotics
, 90, 216

‘ZenRobotics Recycler’ project
, 87–88

Zero Waste
, 11–12

Zero Waste and Resource Circulation Plan
, 25–26, 31

Prelims
Chapter 1 The Human-Centred Workplace in Industry 4.0: Cultivating Well-Being and Engagement
Chapter 2 A Bibliometric Analysis on the Integrating Smart Cities and the Circular Economy: Mapping the Landscape of an Emerging Interdisciplinary Field
Chapter 3 Developing a Circular Economy in Ho Chi Minh City: A Content Analysis-Based SWOT Analysis
Chapter 4 Role of Internet of Things (IoT) in Enabling Circular Economy in Smart Cities
Chapter 5 Exploring Challenges of Circular Economy Initiatives for Smart Cities
Chapter 6 Integrating Circular Economy in Smart Cities: Challenges and Pathways to Sustainable Urban Development
Chapter 7 AI-Enabled Circular Economy Management for Sustainable Smart Cities: Integrating Artificial Intelligence in Resource Optimization and Waste Reduction
Chapter 8 Investigating the Role of Data Analytics and Artificial Intelligence in Optimizing Resource Efficiency in Smart Cities
Chapter 9 A Comprehensive Study on the Implications of ESG Performance Disclosure in the Promotion of Sustainable Development by Firms
Chapter 10 Exploring the Potential of Internet of Things (IoT) and Challenges in Enabling Circular Economy Practices in Smart Cities
Chapter 11 Analyzing the Research Landscape on Circular Economy in Smart Cities With Available Barriers and Challenges
Chapter 12 Smart Cities and Sustainable Mobility: A Way to Quality Life
Chapter 13 Hydrogen Fuel Cell Vehicles: Pathway to Sustainable Urban Mobility
Chapter 14 Assessing the Impact of Smart City Technologies on Sustainable Urban Mobility in Developing Economies
Chapter 15 Challenges of AI Implementation for Boosting Circular Economy in Smart Cities
Chapter 16 Relationship Between Urban Development and Economic Growth in Vietnam: A Cointegration Analysis With Structural Breaks
Chapter 17 Metaverse-Driven Mobility: Weaving the Virtual Realm Into the Fabric of Our Cities
Index