A critical review of selected smart city assessment tools and indicator sets
A Sharifi - Journal of cleaner production, 2019 - Elsevier
In the era of digital revolution many cities around the world have invested significantly in the
design and implementation of smart city projects and initiatives to provide solutions to the …
design and implementation of smart city projects and initiatives to provide solutions to the …
Review of smart city assessment tools
Today's cities are estimated to generate 80% of global GDP, covering only about 3% of the
land, but contributing to about 72% of all global greenhouse gas emissions. Cities face …
land, but contributing to about 72% of all global greenhouse gas emissions. Cities face …
A typology of smart city assessment tools and indicator sets
A Sharifi - Sustainable cities and society, 2020 - Elsevier
There has been a surge of interest over the past several years in the development and
implementation of tools, frameworks, and indicator sets (hereafter,'schemes') for smart city …
implementation of tools, frameworks, and indicator sets (hereafter,'schemes') for smart city …
The impacts of open data initiatives on smart cities: A framework for evaluation and monitoring
As the world's population is becoming progressively urban-dwelling, sustainable
development challenges are increasingly concentrated in cities, placing tremendous …
development challenges are increasingly concentrated in cities, placing tremendous …
A distributed storage and computation k-nearest neighbor algorithm based cloud-edge computing for cyber-physical-social systems
W Zhang, X Chen, Y Liu, Q Xi - Ieee Access, 2020 - ieeexplore.ieee.org
The k-nearest neighbor (kNN) algorithm is a classic supervised machine learning algorithm.
It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data …
It is widely used in cyber-physical-social systems (CPSS) to analyze and mine data …
Urban sustainability assessment tools: Toward integrating smart city indicators
A Sharifi, S Kawakubo, A Milovidova - Urban systems design, 2020 - Elsevier
Urban sustainability assessment tools are increasingly used to inform planning and
policymaking in cities. Despite being diverse in their scale, scope, and clientele, their …
policymaking in cities. Despite being diverse in their scale, scope, and clientele, their …
On the taxonomy of smart city indicators and their alignment with sustainability and resilience
As interest in smart city initiatives continues to grow rapidly, various involved actors and
stakeholders increasingly rely on assessment frameworks or indicator sets for different …
stakeholders increasingly rely on assessment frameworks or indicator sets for different …
Ranking of global smart cities using dynamic factor analysis
T Vanli - Social Indicators Research, 2024 - Springer
In the age of the digital revolution, many cities around the world have made significant
investments in planning and implementing smart city initiatives to address the issues of …
investments in planning and implementing smart city initiatives to address the issues of …
Optimising smart city evaluation: A people‐oriented analysis method
Y Fang, Z Shan - IET Smart Cities, 2024 - Wiley Online Library
Smart cities integrate information technology with urban transformation, making it crucial to
systematically evaluate their development level and effectiveness. Recent years have seen …
systematically evaluate their development level and effectiveness. Recent years have seen …
City intelligence quotient evaluation system using crowdsourced social media data: a case study of the yangtze river delta region, China
Despite the trending studies on smart city development, how to evaluate the smartness of a
city remains unclear. This research aimed to design a smart city evaluation system, named …
city remains unclear. This research aimed to design a smart city evaluation system, named …