Index
Filippo Marchesani
(University G. d’Annunzio, Italy)
ISBN: 978-1-83797-576-1, eISBN: 978-1-83797-575-4
Publication date: 14 December 2023
This content is currently only available as a PDF
Citation
Marchesani, F. (2023), "Index", The Global Smart City, Emerald Publishing Limited, Leeds, pp. 199-202. https://doi.org/10.1108/978-1-83797-575-420231010
Publisher
:Emerald Publishing Limited
Copyright © 2024 Filippo Marchesani. Published under exclusive licence by Emerald Publishing Limited
INDEX
Agenda 2030
, 88–89
Algorithmic bias
, 131–132
Algorithms
, 155–156
Artificial intelligence (AI)
, 29–30, 58, 83–84, 119, 137–138
Automation
, 23
Batteries
, 93
Big data
, 18
analytics
, 58, 83–84, 119
Blockchain
, 58, 137–138
Bottom-up approach
, 67–68, 70, 72, 139
Businesses
, 101, 129
creation
, 105–107
environment
, 99–100
Cameras
, 58–59
CCTV cameras
, 80–81
Challenges
, 137–138
“Cinturon Verde” (Green Belt) initiative
, 86
Citizen expectations
, 119
Citizen resilience
, 140
Citizen-centric smart city projects
, 56–58
Citizens
, 7, 70, 125, 127, 139, 144
Citizens’ engagement
, 73, 85, 87
City Brain initiative
, 58–59
City/cities
, 1, 3, 5, 7–8, 10, 26–27, 37, 101, 118
attractiveness
, 124–131
as hub for innovation and business creation
, 102–104
Cloud storage
, 28
Collaborative partnerships
, 49–51
Community organizations
, 70
Companies
, 128–129
Competitive urbanism, limits of
, 131–133
Compliance
, 29
COVID-19 pandemic
, 140
Cross-sector collaboration
, 147–148
Cultural differences
, 59–61
Cultural drivers
, 59–61
Culture
, 56
Cybersecurity
, 137–138
measures
, 29
Data acquisition
, 18
Data analysis
, 18–19, 90
Data analytics
, 23, 58–59, 80, 92–93
Data curation
, 19
Data ecosystem
, 6, 8, 16–17
local and national
, 26–28
Data governance
, 29
Data management in city
, 21–22
Data privacy
, 137–138, 148–149
Data security
, 131–132, 148–149
Data sharing
, 51–54
Data storage
, 19–20
security, and challenges
, 28–30
Data utilization
, 20
Data value chain
, 17–20
Data-driven decision-making
, 73–74
Decision-making processes
, 56, 59
Digital art installations
, 131
Digital divide
, 87, 132, 154
Digital implementation
, 16–17
data management in city
, 21–22
data storage, security, and challenges
, 28–30
data value chain
, 17–20
local and national data ecosystem
, 26–28
in smart cities
, 22–26
Digital inclusion
, 120
Digital infrastructure
, 73
Digital outcomes in urban environment
, 79–87
Digital services
, 24
Digital technologies
, 2–3, 83, 118–119, 122, 124
and services
, 22
Digital tools
, 23
Digitalization
, 23–24
Dimensions of smart cities
, 31, 33, 45
Eco-Management and Audit Scheme (EMAS)
, 108–109
Economic competitiveness
, 118–119
Economic ecosystem
, 113
Economic environment
, 101–102, 105
Economic growth
, 60–61
Ecosystem
, 15–16
Effective communication
, 145–146
Efficiency
, 4, 80, 118
Electric vehicles (EVs)
, 48–49
Electronic platforms
, 35
Engagement technologies
, 85–86
Entrepreneurial ecosystems boost smart city projects
, 111–112
Entrepreneurial vision of smart city
, 152–154
Entrepreneurs
, 101
Entrepreneurship
, 100
Environmental outcomes of smart city
, 87–96
Environmental sustainability
, 118
Ethical considerations
, 29, 131–132
European Innovation Partnership on Smart Cities and Communities (EIP-SCC)
, 78
European Union
, 78, 89
Experimentation
, 149–150
Female entrepreneurs
, 109–111
Female entrepreneurship
, 103–104
Final remarks
, 157–159
Firewalls
, 29
Gamification
, 43–44
Gardens
, 94–95
Gender entrepreneurship
, 109–111
General Data Protection Regulation (GDPR)
, 29
Geographic patterns
, 73
cultural and socioeconomic drivers
, 59–61
East and South Asia
, 65–66
Europe and North America
, 63–64
geographical distribution and internal drivers of smart city projects
, 63–66
geographical influence on smart city management
, 61–63
government approach in smart city projects
, 66–72
implications, perspectives, and urban trajectories
, 73–74
Latin America
, 64–65
smart city implementation
, 55–59
Global competition
, 118
Globalization
, 119
Governance
, 34, 36
bodies
, 7
Government approach in smart city projects
, 66–72
bottom-up approach
, 70–72
top-down approach
, 68–70
Green companies
, 108–109
Green spaces
, 94–95
Guidelines
, 139
Hofstede’s cultural dimensions theory
, 56
Horizon 2020 program
, 78
Human-centric approach
, 32–33
Inclusivity
, 73
Individualism–collectivism
, 56
Indulgence-restraint
, 56
Information and Communication Technologies (ICTs)
, 5–6, 32, 103, 120–121
in government organizations
, 35
Innovation
, 100, 149–150
ecosystems
, 15–16
Innovative companies
, 108
Innovative entrepreneurial ecosystem
, 111
Institutions
, 7
Integration
, 44
Intelligent transportation systems
, 80
International initiatives
, 120–121
Internationalization in smart city development
, 120–122
Internet of Things (IoT)
, 21, 58, 83–84, 92–93, 103, 119, 137–138
Interoperability
, 51–54
Intrusion detection systems
, 29
Life quality and equality
, 89–92
Local companies
, 103
Local data ecosystem
, 26–28
Local ecosystem
, 79
Local growth and economic outcomes
, 104–111
Long-term orientation
, 56
Machine learning (ML)
, 21, 29–30, 83–84, 151–152
Managers
, 144–154
Marketing innovation in smart city development
, 120–122
Masculinity–femininity
, 56
Municipalities
, 24
‘MyHelsinki’ platform
, 84
National data ecosystem
, 26–28
National Recovery and Resilience Plan (PNRR)
, 37, 92
Navigating urban environment
, 139
Nearly Zero-Emission Building project (NZEB project)
, 25, 36–37
New businesses
, 105
Nonprofit organizations (NPOs)
, 147–148
Online learning platforms
, 43–44
Online portals
, 23
Open data
, 6
Organizational practices
, 56
Parks
, 94–95
Personalized services
, 83
Policymakers
, 7, 101, 144, 154
Power distance
, 56
Privacy
, 29, 131–132
Public managers
, 7, 41
Public services
, 17–18
Quality of life
, 78
Regular security audits
, 29
Renewable energy sources
, 80
Resilience
, 140, 150–151
Safer Travel App
, 81
Security
, 44
Self-reinforcing cycle
, 112
Sensors
, 58–59, 80
SGSecure app
, 82
Smart city/cities
, 1–3, 5, 17–18, 31, 100, 108, 137–138
attractiveness
, 9–10
city development
, 45–47
city to
, 1–3
collaborative partnerships and stakeholder engagement
, 49–51
competition in digital edge
, 118–120
competitive edge
, 10–12
data ecosystem and key actors
, 6–8
data sharing and interoperability
, 51–54
development
, 131–133
digital implementation in
, 22–26
dimensions
, 8–9, 31, 33, 45
ecosystems
, 16, 101–102
future directions
, 157–159
geographical distribution and internal drivers of smart city projects
, 63–66
geographical influence on smart city management
, 61–63
guideline for navigating smart city edge
, 138–154
ICTs
, 5–6
implementation
, 55–59
initiatives
, 151–152
integrated planning and policy frameworks
, 48–49
limits and criticism
, 154–157
objectives and expected outcomes
, 77–79
orchestrating and balancing smart city dimensions
, 47–54
trajectories
, 5–6
Smart destination
, 124–131
Smart economy
, 8, 32, 40, 42, 46–47
Smart environment
, 8, 32, 36, 38
Smart governance
, 8, 32, 34, 36
Smart living
, 8, 32, 42, 44
Smart mobility
, 8, 32, 38, 40
Smart museums
, 131
Smart pedestrian crossings
, 82–83
Smart people
, 8, 32, 44–45
Smart tourism
, 130
Social equity
, 61
Social media
, 25–26, 70
Socioeconomic drivers
, 59–61
Solar panels
, 93
Stakeholder engagement
, 49–51
Start-ups
, 107
Strategic differences
, 56
Sustainability
, 4, 77–78, 118, 131, 150–151
Sustainable Development Goals (SDGs)
, 37, 88–89
Sustainable urban environment
, 94–96
Talents
, 127–128
Technological advancements
, 119
Technological dependency
, 137–138
Technological entrepreneurial ecosystem
, 112
Technological foundations
, 73
Technological infrastructure
, 24–25
Technological reliance
, 131–132
Technology
, 4, 32, 35, 79–80, 102, 131
Technology-centric smart city projects
, 56, 58–59
Top-down approach
, 67–68, 70, 139
Tourists
, 129–131
Transport for London (TfL)
, 81
Twinning relationships
, 64
Uncertainty avoidance
, 56
Universities
, 101
Urban competitiveness
, 131
Urban ecosystem
, 101, 122, 124
Urban efficiency
, 92–94
Urban environment
, 99–100
assessing and evaluating urban outcomes
, 96–98
citizens’ engagement
, 85–87
customized and tailored services
, 83–85
digital outcomes in
, 79–87
environmental outcomes of smart city
, 87–96
safety and monitoring
, 81–83
smart city objectives and expected outcomes
, 77–79
Urban land-use planning
, 94
Urban mobility plan
, 39
Urbanism
, 60
Urbanization
, 118
Users
, 139–144
Video surveillance
, 90
Virtual reality (VR)
, 43–44
Wind turbines
, 93
- Prelims
- Chapter 1 Introducing and Understanding Smart Cities
- Part One Internal Implementation of Smart City Ecosystems
- Chapter 2 Digital Implementation in the Smart City Ecosystem
- Chapter 3 Orchestrating the Implementation of the Smart City
- Chapter 4 Geographic Patterns in Smart City Implementation
- Part Two Urban, Economic, and Competitive Outcomes of the Smart City Projects
- Chapter 5 Urban Environment in the Smart City
- Chapter 6 Economic and Business Environment in the Smart City
- Chapter 7 Urban Attractiveness and the Competitive Edge of the Smart City
- Chapter 8 Navigating the Smart Cities: Conclusions and Final Remarks
- Appendix: Methodological Approach
- References
- Index