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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

The concept of smart cities has gained relevance over the past few years. Public managers have been planning investments to turn their cities into smart cities. Maturity models can help managers to monitor the performance of urban indicators; however, these maturity models are not always capable of meeting their proposed goals. In this sense, this research aims to develop a maturity model that ranks the “smartness” of a city based on social and technological indicators. The Smart Cities Maturity Model (MMSC) variables were extracted from ISO’s 37153:2017, 37120:2018, 37107:2019. The MMSC is structured on a hybrid TOPSIS multicriteria decision-making method. In this paper, we modified TOPSIS and used it to generate a synthetic indicator, called smart index, that designates the level of maturity of a real city. For this change to be possible, we fixed some alternatives and changed the positive ideal and negative ideal solution. The methodology is proven to be very efficient in measuring the smart city maturity level, and it can be easily adapted for the upcoming ISOs.

Details

Title
Smart Cities Maturity Model—A Multicriteria Approach
Author
Franciely Velozo Aragão 1 ; Daiane Maria de Genaro Chiroli 2 ; Fernanda Cavicchioli Zola 3 ; Emanuely Velozo Aragão 2 ; Nogueira Marinho, Luis Henrique 4 ; Ana Lidia Cascales Correa 2 ; Colmenero, João Carlos 3   VIAFID ORCID Logo 

 Textile Engineering Department, Federal University of Santa Catarina, Blumenau 89036-004, Brazil 
 Graduate Program in Urban Engineering, State University of Maringá, Maringa 87020-900, Brazil 
 Graduate Program in Production Engineering, Federal University of Technology—Paraná, Ponta Grossa 81280-340, Brazil 
 Postgraduate Program in Biotechnology, Londrina State University, Londrina 86057-970, Brazil 
First page
6695
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20711050
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2806623373
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.