A Simulated Environment Experiment on Annoyance Due to Combined Road Traffic and Industrial Noises
AbstractTotal annoyance due to combined noises is still difficult to predict adequately. This scientific gap is an obstacle for noise action planning, especially in urban areas where inhabitants are usually exposed to high noise levels from multiple sources. In this context, this work aims to highlight potential to enhance the prediction of total annoyance. The work is based on a simulated environment experiment where participants performed activities in a living room while exposed to combined road traffic and industrial noises. The first objective of the experiment presented in this paper was to gain further understanding of the effects on annoyance of some acoustical factors, non-acoustical factors and potential interactions between the combined noise sources. The second one was to assess total annoyance models constructed from the data collected during the experiment and tested using data gathered in situ. The results obtained in this work highlighted the superiority of perceptual models. In particular, perceptual models with an interaction term seemed to be the best predictors for the two combined noise sources under study, even with high differences in sound pressure level. Thus, these results reinforced the need to focus on perceptual models and to improve the prediction of partial annoyances. View Full-Text
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Marquis-Favre, C.; Morel, J. A Simulated Environment Experiment on Annoyance Due to Combined Road Traffic and Industrial Noises. Int. J. Environ. Res. Public Health 2015, 12, 8413-8433.
Marquis-Favre C, Morel J. A Simulated Environment Experiment on Annoyance Due to Combined Road Traffic and Industrial Noises. International Journal of Environmental Research and Public Health. 2015; 12(7):8413-8433.Chicago/Turabian Style
Marquis-Favre, Catherine; Morel, Julien. 2015. "A Simulated Environment Experiment on Annoyance Due to Combined Road Traffic and Industrial Noises." Int. J. Environ. Res. Public Health 12, no. 7: 8413-8433.