This book illustrates how the advanced technology developed for smart cities requires increasing interaction with citizens to motivate and incentive them. Megacities' needs have been encouraging for the creation of smart cities in which the needs of inhabitants are collected using virtualization and digitalization systems. On the other hand, machine learning algorithms have been implemented to provide better solutions for diverse areas in smart cities, such as transportation and health. Besides, conventional electric grids have transformed into smart grids, improving energy quality. Gamification, serious games, machine learning, dynamic interfaces, and social networks are some elements integrated holistically to provide novel solutions to design and develop smart cities. Also, this book presents in a friendly way the concept of social devices that are incorporated into smart homes and buildings. This book is used to understand and design smart cities where citizens are strongly interconnected so the demand response time can be reduced.
Author(s): Pedro Ponce, Therese Peffer, Juana Isabel Mendez Garduno, Ursula Eicker, Arturo Molina, Troy McDaniel, Edgard D. Musafiri Mimo, Ramanunni Parakkal Menon, Kathryn Kaspar, Sadam Hussain
Series: Studies in Big Data, 128
Publisher: Springer
Year: 2023
Language: English
Pages: 252
City: Cham
Foreword by Aminah Robinson Fayek
Foreword by Qipei (Gavin) Mei
Preface
Acknowledgements
How to Read This Book and Some Comments
Contents
About the Authors
Acronyms
1 The Smart C3 Model—Smart Citizens, Communities and Cities
1.1 The Needs of Citizens and How to Support Their Needs
1.1.1 Sustainable Development Goals (SDG)
1.1.2 Social Progress Index
1.1.3 World Happiness Report
1.1.4 ISO 37120
1.2 How Smart Citizens Build Smart Communities
1.3 Smart Communities—Demands and Needs
1.3.1 Tecnologico de Monterrey, Mexico City Campus as a Case Study
1.4 How Smart Communities Create Smart Cities
1.4.1 Smart Community Case: From Smart Grid to Smart City in Salzburg, Austria
1.4.2 Another Type of Community: Gamified Communities
1.4.3 Another Type of Community: Smart Factories
1.5 Smart Cities—Demands and Needs
1.5.1 Digital Twins
1.5.2 The Carbon-Neutral Economy in the Context of Smart Cities
1.5.3 The Metaverse
1.6 Data-Driven Techniques and AI in Smart Cities
1.6.1 Data-Driven Techniques and Optimization Methodologies
1.7 Privacy Regulations in Smart Cities
References
2 Connected Citizens are Smart Citizens
2.1 Personality and Behavior for Building a Citizen Classification System
2.2 The Role of Gamification and Serious Games as a Social …
2.3 Learning More About Citizens Through Social Networks
2.4 Learning More About Citizens Through Wearables, Virtual Reality …
2.5 Smart Social Interfaces Using AI
2.6 Ethics for Social Cyber and Physical Systems
2.6.1 Artificial Intelligence Ethics
References
3 Keystone for Smart Communities—Smart Households
3.1 Energy, Water, Housing, Security, Environment, Commerce, and Utilities into Smart Households
3.2 Sensing in Smart Households
3.3 Smart Homes and Data Fusion
3.4 Controlling Smart Houses and Buildings
3.4.1 BIM and the Control in Smart Houses and Buildings
3.5 Seniors and People with a Disability Living in Smart Houses
3.5.1 What is the Place of Seniors and People with a Disability in Smart Cities?
3.5.2 How are the Seniors and People with a Disability Learning Process Through Technology?
3.5.3 How Accessible are Learning Opportunities for Seniors and People with a Disability in Smart Cities?
3.5.4 What does the Job Market Look Like for Seniors and People with a Disability in the Future?
3.5.5 What are Some Potential Work Opportunities for Seniors and People with a Disability Who Should Look at Investing Their Time to be Ready When the Time Comes?
3.6 Babies and Children Socializing in Smart Houses
3.6.1 What is the Place of Children in Smart Cities?
3.6.2 How is the Children's Learning Process Through Technology?
3.6.3 How Accessible are Learning Opportunities for Children in Smart Cities?
3.6.4 What does the Job Market Look Like for Kids in the Future?
3.6.5 What are Some Potential Work Opportunities Children Should Look at Investing Their Time in to be Ready When the Time Comes?
3.7 What Types of Job Opportunities will AI and Technologies Eradicate?
3.7.1 What Types of Job Opportunities will be Needed in the Metaverse?
References
4 Smart Communities
4.1 Empowering Social Communities
4.1.1 Universities and Industrial Parks as Smart Communities
4.1.2 Healthcare Buildings as Smart Communities
4.2 Social, Sustainable, Sensing, and Smart Products
4.2.1 Smart Technologies
4.2.2 Smart Health Technology
4.2.3 Smart Governance Technology
4.3 Smart Megacities
4.4 Data from Citizens, Households, and Communities
4.4.1 Personal Data
4.4.2 Household Data
4.4.3 Community Data
4.4.4 Big Data
4.5 Reconfigurable Megacities
4.6 Global Mitigation of Megacities
4.7 Future Trends in Technologies for Smart Cities
References
5 Smart Communities and Cities as a Unified Concept
5.1 Why Do We Need Smart Communities and Smart Cities Nowadays and in the Future?
5.2 Interconnected Public Outdoor and Indoor Environments by Connected Devices
5.3 The Connected Device and Its Interface for Improving the Quality of Life of Citizens
5.3.1 Interfaces for Education Through Social Robotics
5.3.2 Interfaces for Healthcare
5.3.3 Interfaces for Energy Savings
5.4 Fundamental and Supportive Technologies (5G, IoT, ICT, AI, Renewable Energy, Blockchain)
5.4.1 5G
5.4.2 Internet of Things (IoT)
5.4.3 Information and Communication Technology (ICT)
5.4.4 Sensing Platforms
5.4.5 Renewable Energy
5.4.6 Artificial Intelligence (AI)
5.4.7 Blockchain
5.5 Bridging the Gap Between Smart Communities and Cities
5.5.1 Architectural and Urbanism Perspective
5.5.2 Engineering Perspective
5.5.3 Information Technology Perspective
5.5.4 Manufacturing Perspective
5.5.5 Public Policy Perspective
5.5.6 Educational Perspective
5.5.7 Social Sciences Perspective
References
6 Current Smart Communities and Cities
6.1 Current Smart Cities
6.2 Some Conventional Indicators of Smart Cities
6.3 Types of Certifications
6.3.1 LEED
6.3.2 ISO 37120, 37122, 37123
6.3.3 Passivhaus
6.3.4 BREEAM
6.4 Proposed Connected Model in Current Smart City IoT
6.4.1 Mexico as a Study Case for Medium-Sized Companies for Deploying Renewable Energy
6.4.2 Solar Energy Implementation in Manufacturing Industry Using Multi-criteria Decision-Making Fuzzy TOPSIS and S4 Framework
6.4.3 Energy Simulations for Understanding Building Behavior
6.4.4 Net Zero Buildings
6.4.5 Sustainable Campus
6.5 The Future of Connected Citizens, Communities, and Cities
References
7 Demand Side Management and Transactive Energy Strategies for Smart Cities
7.1 Introduction
7.2 Stakeholders and Their Roles
7.2.1 Utility Grid, DSOs, and TSOs
7.2.2 End-Users/Buildings
7.2.3 Aggregators and Other Service Providers
7.3 Existing DSM and Transactional Energy Frameworks
7.3.1 Microgrids
7.3.2 Virtual Power Plants
7.3.3 Energy Hubs
7.3.4 Transactive Energy
7.4 Enabling DSM Through Smart Grids
7.5 Algorithms and Modeling
7.5.1 Grid Perspective
7.5.2 Aggregator Perspective
7.5.3 End-User and Building Perspective
7.6 Implementation and Associated Data Requirements
7.6.1 IoT and Standards
7.6.2 Degree of Autonomy
7.6.3 Blockchains and Market Models
7.7 Barriers, Potential Solutions, and Future Lines of Research
References
