
Analysis of the Relationship Between Maturity Indicators Using the Multivariate Linear Regression: A Case Study in the Brazilian Cities
2022; Springer International Publishing; Linguagem: Inglês
10.1007/978-3-030-97874-7_26
ISSN2367-4512
AutoresPolyane Alves Santos, Yuzo Iano, Kelem Christine Pereira Jordão, Gabriel Caumo Vaz, Gabriel Gomes de Oliveira, Ingrid Araújo Sampaio, Euclides Lourenço Chuma,
Tópico(s)Green IT and Sustainability
ResumoCities are made up of countless relationships that Interact dynamically and intensely within the urban context. It is noteworthy relating that the lack of infrastructure is closely related with the quality of life of people, for example. The purpose of this article is to identify and map the existing relationships between the indicators of the International Telecommunication Union (ITU) for smart cities with the Multivariate Linear Regression through scripts written in Python language. To achieve the functions that describe such relationships, data from the 5,570 Brazilian cities were collected, concerning their population and 24 maturity indicators for smart cities. A previous analysis was carried out for identifying, among all the collected indicators, those with stronger relevance in Brazilian scenario to improve the cities’ maturity, resulting in four indicators that were further examined. Thus, the current work aimed to collect and analyze data related to the development of cities to explore a methodology that make possible a more assertive direction for the use of the available resources in order to reach the predetermined goals.
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