Leisure and road trafficare twoofthe major contributors to environmental noise in urban agglomerations. This environmental problem is particularly important in some cities, where there is am assive circulation of traffic vehicles and numerous outdoor social activities with aleisure noise mainly composed by human-related sounds. Due to the apparent differences between human-related sounds and road trafficsounds, the descriptors used to approach aproper evaluation of leisure noise may not be the same as the ones used for road trafficnoise evaluation. This paper is aimed at analyzing the road trafficand leisure noise characteristics and the most important parameters to study and evaluate both noise sources. Therefore, as usually both noise sources are mixed, amodel has been developed and tested which, when provided an environmental noise measurement, will be able to identify what kind of noise (leisure or road trafficnoise)isdominant in agiven environment. This model, done by using Support Ve ctor Machines (SVMs)a nd Regression Analysis algorithms, allows focusing the abatement actions towards the noise source identified as dominant, and thus, addressing abetter management and aproper control of the environmental noise in urban environments.