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Cidades, Comunidades e Território
Article . 2022 . Peer-reviewed
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Using multi-criteria analysis for smart city assessment

Authors: Chiroli, Daiane Maria De Genaro; Solek, Érica A. B.; Oliveira, Rosana S.; Barboza, Bertiene M. L.; de Campos, Rodolfo P.; Kovaleski, João L.; Sérgio M. Tebecherani; +1 Authors

Using multi-criteria analysis for smart city assessment

Abstract

Urban centers have been under a new concept of city. Smart Cities are, in a nutshell, organized communities that feature high communication technology and conscious investments in sustainability, providing dynamic and safe environments. This paper presents a methodology to assess and rank Smart Cities based on a multi-criteria decision-making process. Methodologies that do not consider a pondered approach and filter for specific goals are commonly found in the literature, once there is a great number of criteria involved in these analyses. This work proposes filtering the criteria, considering each specific evaluation and its objectives. Our methodology is based on a multi-criteria analysis and uses AHP (Analytic Hierarchy Process) to support the process of weights definition and MACBAC (Multi-Attributive Border Approximation Area Comparison) in an application with compensatory characteristics. Through this study, it is possible to conduct the assessment of Smart Cities according to its multiple contexts, viz. its location, decision-makers and the objectives of the analysis. All in all, this research presents novelty related to the organization of the evaluation in accord to the expected resolution and a pondered approach with reduced number of criteria, making the analysis very straightforward.

Country
Portugal
Keywords

criteria weights, Multi-criteria analysis, Urbanization. City and country, Criteria weights, HT101-395, Urban groups. The city. Urban sociology, NA9000-9428, Smart cities ranking, multi-criteria analysis, Smart Cities Ranking, smart cities ranking, Aesthetics of cities. City planning and beautifying, HT361-384, Criteria Weights

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
4
Top 10%
Average
Top 10%
25
41
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Published in a Diamond OA journal