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Noise annoyance from industrial and road traffic combined noises: A survey and a total annoyance model comparison
Authors:M Pierrette  C Marquis-Favre  J Morel  L Rioux  M Vallet  S Viollon  A Moch
Institution:1. Université de Lyon, Lyon F-69003, Ecole Nationale des Travaux Publics de l''Etat, CNRS, FRE 3237, Département Génie Civil et Bâtiment, 3, rue Maurice Audin, Vaulx-en-Velin F-69120, France;2. Université Paris Ouest Nanterre La Défense, Laboratoire Psychologie des Processus et des Conduites Complexes (EA 4431), 200 Avenue de la République, Nanterre F-92002, France;3. AEDIFICE, 59, Avenue Lacassagne, Lyon F-69003, France;4. EDF R&D, 1 avenue Général de Gaulle, 92141 Clamart Cedex, France
Abstract:The literature on noise annoyance emphasizes that acoustical factors cannot totally explain the annoyance felt by a population exposed to community noises, and that some non-acoustical factors have an effect on annoyance. This research paper deals with the annoyance caused by combined noises coming from road traffic and an industrial site. This type of combination has been very little studied to date. An in situ study was conducted in an area of a French town exposed to these two noise sources. To investigate the annoyance caused by these combined noises, the work involved both a mapping of the industrial and road traffic noises present in the survey area and a questionnaire designed to evaluate the noise annoyance experienced by residents and to identify the factors that probably influence noise annoyance. The results highlight the link between the noise levels measured and the annoyance felt by the respondents. They also show that certain non-acoustical factors have an impact on annoyance felt. Indeed, the results highlight a positive correlation between fear of industrial sites and the annoyance expressed. They also show correlations between some items to evaluate noise sensitivity and the annoyance expressed. No significant correlation has been found between annoyance and the other non-acoustical factors such as age, sex and length of residence. Finally, several total annoyance models were tested for this noise combination. Two of them, namely the strongest component model and a proposed perceptual version of the mixed model, were able to better predict total annoyance than the other tested models.
Keywords:Noise annoyance  Combined noise sources  Industrial noise  Road traffic noise  Total annoyance models  Acoustical and non-acoustical factors
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