Partial and Total Annoyance Due to Road Traffic Noise Combined with Aircraft or Railway Noise: Structural Equation Analysis
Laure-Anne Gille,
Catherine Marquis-Favre and
Kin-Che Lam
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Laure-Anne Gille: Univ Lyon, ENTPE, Laboratoire Genie Civil et Batiment, 3 rue Maurice Audin, F-69518 Vaulx-en-Velin, France
Catherine Marquis-Favre: Univ Lyon, ENTPE, Laboratoire Genie Civil et Batiment, 3 rue Maurice Audin, F-69518 Vaulx-en-Velin, France
Kin-Che Lam: Department of Geography & Resource Management, The Chinese University of Hong-Kong, Hong Kong, China
IJERPH, 2017, vol. 14, issue 12, 1-18
Abstract:
Structural equation modeling was used to analyze partial and total in situ annoyance in combined transportation noise situations. A psychophysical total annoyance model and a perceptual total annoyance model were proposed. Results show a high contribution of Noise exposure and Noise sensitivity to Noise annoyance , as well as a causal relationship between noise annoyance and lower Dwelling satisfaction. Moreover, the Visibility of noise source may increase noise annoyance, even when the visible noise source is different from the annoying source under study. With regards to total annoyance due to road traffic noise combined with railway or aircraft noise, even though in both situations road traffic noise may be considered background noise and the other noise source event noise, the contribution of road traffic noise to the models is greater than railway noise and smaller than aircraft noise. This finding may be explained by the difference in sound pressure levels between these two types of combined exposures or by the aircraft noise level, which may also indicate the city in which the respondents live. Finally, the results highlight the importance of sample size and variable distribution in the database, as different results can be observed depending on the sample or variables considered.
Keywords: transportation noise; noise sensitivity; noise annoyance; structural equation modeling; combined noise sources (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2017
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