Introduction: Active transport is encouraged by the Uruguayan authorities; however, the criteria for expanding the cycling routes are unclear. This article presents a research project aiming to examine statistically significant links between environmental exposure during active travel in Montevideo (Uruguay) and urban environment parameters. Methods: Two monitoring routes were defined by working with cycling groups, and their urban environments were characterized. PM₁₀, PM_2.5 and NO₂ concentrations and doses, and noise exposure doses, were measured. Simultaneously, meteorological parameters were recorded. The minimum required sample size was defined based on a statistical procedure: 30 samples were needed. Results: 31 environmental exposure measurements were performed on each route. The monitoring showed high temporal and spatial variability of the environmental parameters. The PM and NO₂ hot spots were not the same. Moreover, while Route N°1 presented higher PM₁₀ and NO₂ potential inhaled doses and higher NO₂ concentrations, the noise exposure doses were higher in Route N°2, with more traffic flow and a lower street aspect ratio. Discussion and conclusions: To our best knowledge, this is the first study of this kind in Montevideo. The results were statistically analyzed and discussed regarding the routes’ characteristics. However, the prevailing weather conditions had a strong influence on them. The latter implies a challenge to define public spaces’ design parameters, in order to achieve a more sustainable city. This study accomplishes a first approach for posing recommendations in this direction for Montevideo and a contribution for further research in the matter.

This article presents a case study related to environmental noise exposure of cyclists in Montevideo (Uruguay), as a part of a wider interdisciplinary research project. The main objective of this study was to find the most important parameters related to cyclists’ noise exposure in the city. Two monitoring routes were defined, and their traffic flows were characterized. After that, noise dosimetries were carried out along the monitoring routes, determining a set of relevant parameters for each measurement: L_Aeq, L_AF,10, L_AF,90, noise climate (L_AF,10–L_AF,90), kurtosis, occupational and environmental noise doses, exceedance time for each dose, and traffic flow by categories met during cycling. A total of 66 noise dosimetries were carried out: 34 on Route N°1 and 32 on Route N°2. L_Aeq was lower in Route N°1. With a basis in multivariate tests, the main variables related to noise exposure of cyclists were found to be the following: kurtosis; noise climate; total traffic; and number of trucks met during the trip. Noise doses were lower on Route N°1, as well as exceedance times, presenting this route with lower traffic flow and fewer trucks but narrower streets and higher street aspect ratio values. Better knowledge in terms of selecting healthier places for cycling routes was obtained: traffic flow—and not urban geometric characteristics—was found to be the main urban determinant of high noise doses.