Classificação e estruturação digital da rede viária urbana de Monte Carmelo/MG

Abstract

The objective of this study was to digitally model the urban road network of Monte Carmelo, Minas Gerais, using geoprocessing techniques in a GIS environment, in order to support urban planning and promote greater efficiency in local mobility. The methodology involved the collection and processing of topographic data (elevation and slope) from the Copernicus DEM; the structuring of the road network based on data from OpenStreetMap and IBGE; the spatial distribution of the urban population using data from the 2022 Demographic Census; the categorization of streets and pavement conditions; the analysis of road widths in accordance with municipal legislation; the functional hierarchy of the road system following DNIT guidelines; and traffic volume counts at a strategic point. The results indicated that the city has a predominantly flat terrain, a significant demographic concentration in the eastern zone, and a predominance of local roads with widths ranging from 7 to 12 meters, in addition to most of the road network being paved. The traffic counts showed that the highest vehicle flows occur during school arrival and departure times, with a Peak Hour Factor (PHF) ranging from 0.57 to 0.88, which demonstrates both periods of constant flow and acute traffic concentrations. It was concluded that the integration of physical, structural, functional, and social factors in a GIS environment is effective for understanding urban dynamics and proposing more appropriate mobility solutions.