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Smart city assessment : a novel framework for development and evaluation of smart cities /

Smart City Assessment: A Novel Framework for Development and Evaluation of Smart Cities outlines a new assessment model for smart cities, including energy, environmental, and economic factors.

Bibliographic Details
Main Author: Abu-Rayash, Azzam (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam ; Cambridge, MA : Elsevier, [2024]
Subjects:
Smart cities.
Smart cities > Evaluation.
Villes intelligentes.
Villes intelligentes > Évaluation.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Smart City Assessment
  • Smart City Assessment: A Novel Framework for Development and Evaluation of Smart Cities
  • Copyright
  • Contents
  • Preface
  • One
  • Fundamental aspects of smart cities, sustainability, and environment
  • 1.1 Urban dynamics and global demographics
  • 1.2 Defining smart cities
  • 1.2.1 Smart city concept
  • 1.2.2 Research and development in smart cities
  • 1.2.3 Critical characteristics of smart cities
  • 1.2.4 Objectives of smart cities
  • 1.3 Sustainability in the urban context
  • 1.3.1 Environmental challenges facing modern cities
  • 1.3.2 The role of cities in addressing global environmental challenges
  • 1.4 Energy consumption and demand in urban areas
  • 1.4.1 Integrating renewables in city infrastructure
  • 1.4.2 Case studies
  • 1.4.2.1 Case study 1: Copenhagen, Denmark-The green energy transition
  • 1.4.2.2 Case study 2: San Francisco, USA-Solar city initiative
  • 1.4.2.3 Case study 3: Masdar City, UAE-A model for sustainable urban development
  • 1.5 Technological innovations in urban development
  • 1.5.1 Integration of technologies in urban functions
  • 1.5.2 Challenges and opportunities in tech integration
  • 1.5.2.1 Challenges in smart city development
  • 1.5.2.2 Opportunities presented by smart city technologies
  • 1.6 Urban transportation and mobility
  • 1.6.1 Challenges in urban transportation
  • 1.6.2 Smart solutions for urban mobility and traffic management
  • 1.6.3 Case studies in smart urban transportation
  • 1.6.4 Case studies of smart transportation systems
  • 1.7 Trends and future directions
  • 1.7.1 Predictions and trends for the future of smart cities
  • 1.7.2 Emerging technologies and concepts in smart urban development
  • 1.7.3 Creating sustainable and livable cities for the future
  • 1.7.3.1 Strategies for sustainable and inclusive smart cities
  • 1.7.3.2 Role of policy, governance, and citizen engagement
  • 1.8 Conclusion
  • 1.8.1 Recap of key points
  • 1.8.2 Final thoughts on the importance of smart cities
  • Two
  • Smart city modeling
  • 2.1 Introduction to smart city assessments
  • 2.2 Methodologies in smart city development
  • 2.2.1 Different methodologies in smart city development
  • 2.2.2 Importance of methodology selection
  • 2.3 Composite indicators in smart city models
  • 2.3.1 Guiding principles in constructing a composite indicator
  • 2.3.2 Theoretical framework
  • 2.3.3 Data selection
  • 2.3.4 Data imputation
  • 2.3.5 Multivariate analysis
  • 2.3.6 Normalization
  • 2.3.7 Weighting and aggregation
  • 2.3.8 Robustness and sensitivity
  • 2.3.9 Data integration
  • 2.3.10 Linkage to other variables
  • 2.3.11 Presentation and visualization
  • 2.4 Comparative analysis using composite indicators
  • 2.5 Critiquing smart city indicators
  • 2.5.1 Environmental index
  • 2.5.1.1 Air quality factor
  • 2.5.1.2 Water quality factor
  • 2.5.1.3 Waste management parameter
  • 2.5.1.4 Ecosystem turnover factor
  • 2.5.2 Economy index