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The analysis and understanding of data related to urban processes are indispensable for the efficient management of cities. In the present study, various parameters and indicators were analyzed to determine which would be most relevant for public policies in Belo Horizonte. Data from public databases were organized on a georeferenced platform (WebGIS) and in electronic spreadsheets, allowing for the treatment and correlation of parameters with urban indicators. As a result, the parameters concerning the size, age, and use of buildings, as well as urban infrastructure and hydrogeological risks, were those that showed the highest number of strong correlations with the analyzed indicators. The study of these parameters, as well as the adopted methodology, have the potential to contribute to the development of action plans focused on the structuring and advancement of smart and sustainable cities.
Júnior et al. (Wed,) studied this question.
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