Journal of Environmental Psychology 32 (2012) 285
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Corrigendum to “Noise annoyance from industrial and road traffic combined noises: A survey and a total annoyance model comparison” [J Environ Psychol 32 (2) (2012) 178e186] M. Pierrette a, *, C. Marquis-Favre a, J. Morel a, L. Rioux b, M. Vallet c, S. Viollon d, A. Moch b a 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 b 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 c AEDIFICE, 59, Avenue Lacassagne, Lyon F-69003, France d EDF R&D, 1 avenue Général de Gaulle, 92141 Clamart Cedex, France
The Tables 5e7 should be as below: Table 5 BravaisePearson’s correlation coefficients between independent variables for the psychophysical total annoyance models tested. Lden,ind, Lden,road, and Lden,T are respectively Lden indices for industrial noise, road traffic noise and global noise due to the combination of both. Lden,T Lden,T Lden,ind Lden,road jLden,ind Lden,roadj a
Lden,ind
Lden,road
jLden,ind Lden,roadj
0.42a
0.96a 0.20
0.65a 0.28a 0.68a
p < 0.01.
Table 6 BravaisePearson’s correlation coefficient between independent variables for the perceptual total annoyance models tested. Aind, and Aroad are respectively the specific annoyance due to the industrial noise and road traffic noise. Aind Aind Aroad jAind Aroadj a
Aroad
jAind Aroadj
0.22a
0.01 0.29a
p < 0.05.
Table 7 Total annoyance models tested on total annoyance responses collected for combined industrial and road traffic noises. The results of the regression analysis are shown (R2 is the coefficient of determination. R2ad is the adjusted R2 in case of multiple linear regression. Std. Err. is the standard error of the estimate. Aind and Aroad are the specific annoyances respectively due to the industrial and road traffic noises. Lden,ind and Lden,road are the Lden indices for the industrial and road traffic noises respectively. Lden,T is the total Lden index and AT is the total annoyance). Model Strongest component Linear regression Mixed Vector summation Energy summation Independent effects Energy difference a b
Regression equation for the total annoyance due to combined noises AT AT AT AT AT AT AT
¼ ¼ ¼ ¼ ¼ ¼ ¼
a
0.94max(Aind, Aroad) 0.10 0.45Ainda þ 0.61Aroada þ 0.60 0.47Ainda þ 0.51Aroada þ 0.44jAind Aroadja 0.09 2 2 0.79O(Aind þ Aroad )a þ 0.06 0.12Lden,Ta 3.03 0.03Lden,ind þ 0.098Lden,roada 2.43 0.11Lden,T þ 0.003jLden,ind Lden,roadj 2.93
p < 0.001. p < 0.05.
DOI of original article: 10.1016/j.jenvp.2012.01.006. * Corresponding author. Tel.: þ33 (0) 488446290. E-mail address:
[email protected] (M. Pierrette). 0272-4944/$ e see front matter Ó 2012 Elsevier Ltd. All rights reserved. doi:10.1016/j.jenvp.2012.05.004
R2
R2ad a
0.92 0.74a 0.92a 0.88a 0.05b 0.06b 0.06
0.74a 0.92a
0.04b 0.04
Std. Err. 0.71 1.30 0.71 0.89 2.49 2.49 2.50
