Smart Cities Maturity Model—A Multicriteria Approach

Franciely Velozo Aragão (), Daiane Maria de Genaro Chiroli (), Fernanda Cavicchioli Zola, Emanuely Velozo Aragão, Luis Henrique Nogueira Marinho, Ana Lidia Cascales Correa and João Carlos Colmenero
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Franciely Velozo Aragão: Textile Engineering Department, Federal University of Santa Catarina, Blumenau 89036-004, Brazil
Daiane Maria de Genaro Chiroli: Graduate Program in Urban Engineering, State University of Maringá, Maringa 87020-900, Brazil
Fernanda Cavicchioli Zola: Graduate Program in Production Engineering, Federal University of Technology—Paraná, Ponta Grossa 81280-340, Brazil
Emanuely Velozo Aragão: Graduate Program in Urban Engineering, State University of Maringá, Maringa 87020-900, Brazil
Luis Henrique Nogueira Marinho: Postgraduate Program in Biotechnology, Londrina State University, Londrina 86057-970, Brazil
Ana Lidia Cascales Correa: Graduate Program in Urban Engineering, State University of Maringá, Maringa 87020-900, Brazil
João Carlos Colmenero: Graduate Program in Production Engineering, Federal University of Technology—Paraná, Ponta Grossa 81280-340, Brazil

Sustainability, 2023, vol. 15, issue 8, 1-20

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.

Keywords: smart cities; maturity model; TOPSIS; index (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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