Rankings Smart Cities: análise dos indicadores utilizados nestes instrumentos para o posicionamento de cidades

• Autor(a) principal: Primon, Gabriel Kiredjian
• Data de Publicação: 2022
• Outros Autores: Santos, Weber Dias dos
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://repositorio.pucsp.br/jspui/handle/handle/27697
• topic: CNPQ::ENGENHARIAS::ENGENHARIA CIVIL; Rankings; Smart cities; Indicadores; Cidades; Posicionamento; Rankings; Smart cities; Indicators; Cities; Positioning

In recent centuries, exponential population growth and rapid urbanization can make cities more confusing, cluttered, and generate new types of urban problems. "Smart" cities, "digital" cities, "connected" cities, or called by the term smart cities, come up as a solution to these urban problems. There is no way to define them exactly, but until then they are related either to the intensive use of technology or to more efficient services and infrastructure and better quality of life for citizens. Today, small and large cities are becoming cities of the future, and at the same time so many others are being planned and built from scratch. In this context, it makes us question how it is possible to classify which city is the “ideal” smart city. Such instruments as rankings would help to quantify and rank them. Often designed to guide the positioning of cities in a competitive urban world. Amid the rise of many smart city rankings, there is the following guiding question: "Are smart cities rankings really efficient?" This research consists of developing an analysis of the indicators used in rankings of smart cities. In particular, they were selected because they are the best way to understand how it is interpreted, systematically analyzed and numerically made a mathematical relationship about a phenomenon, process or object of these studies. A total of seven smart city rankings were selected, one of which is national and six international whose total sum of the indicators would be 416. Through numerical analysis it was found that the rankings of this study had a matching equivalent of 5.25% - that is, the same indicators were used in the composition of each ranking, but there is still considerable dispersion in their use. In addition, when comparing the rankings of this study with ABNT NBR ISO 37120 and ISO 37122, respectively, it was found that in the former only 43 core and supporting indicators out of a total of 100 indicators are used, while in the latter it uses 23 out of a total of 80. Still with the authorial contributions can also clarify some points that go unnoticed, for example, the gap in the efficiency of the indicators, the insufficiency of an indicator to understand the theme addressed or the complexity of it. time needed to collect such diverse data for the study