Information-criterion based selection of models for community noise annoyance

Wilson, D. Keith; Valente, Dan; Nykaza, Edward T.; Pettit, Chris L.

doi:10.1121/1.4790820

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…To better capture differences in annoyance response between communities, a new methodology was introduced to derive exposure-response relationships. [ 168 214 215 216 ] Instead of statistically fitting the curve to the data, this method makes the strong assumption that the annoyance curve should closely resemble the loudness function, while differences between surveys are expressed in a decibel-equivalent shift named the “community tolerance level (CTL)”. The CTL can be used to express differences in “tolerance” to noise between communities, study, or site characteristics, but also between sources.…”

Section: Community Response To Noisementioning

confidence: 99%

ICBEN review of research on the biological effects of noise 2011-2014

et al. 2015

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The mandate of the International Commission on Biological Effects of Noise (ICBEN) is to promote a high level of scientific research concerning all aspects of noise-induced effects on human beings and animals. In this review, ICBEN team chairs and co-chairs summarize relevant findings, publications, developments, and policies related to the biological effects of noise, with a focus on the period 2011-2014 and for the following topics: Noise-induced hearing loss; nonauditory effects of noise; effects of noise on performance and behavior; effects of noise on sleep; community response to noise; and interactions with other agents and contextual factors. Occupational settings and transport have been identified as the most prominent sources of noise that affect health. These reviews demonstrate that noise is a prevalent and often underestimated threat for both auditory and nonauditory health and that strategies for the prevention of noise and its associated negative health consequences are needed to promote public health.

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Section: Community Response To Noisementioning

confidence: 99%

ICBEN review of research on the biological effects of noise 2011-2014

et al. 2015

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“…Logistic regression analysis (LRA) is a standard statistical procedure in noise effects research for the derivation of exposure–response curves [ 83 , 85 , 92 , 93 , 94 ]. Thus, LRA was used to determine the probability to be (highly and moderately) annoyed by nocturnal aircraft noise exposure as a function of the different acoustical and non-acoustical variables.…”

Section: Methodsmentioning

confidence: 99%

Effects of Nocturnal Aircraft Noise and Non-Acoustical Factors on Short-Term Annoyance in Primary School Children

Quehl

Bartels

Fimmers

et al. 2021

IJERPH

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Children are considered at higher risk for harmful noise effects due to their sensitive development phase. Here, we investigated the effects of nocturnal aircraft noise exposure on short-term annoyance assessed in the morning in 51 primary school children (8–10 years) living in the surrounding community of Cologne-Bonn Airport. Child-appropriate short-term annoyance assessments and associated non-acoustical variables were surveyed. Nocturnal aircraft noise exposure was recorded inside the children’s bedrooms. Exposure–response models were calculated by using random effects logistic regression models. The present data were compared with those from a previous study near Cologne-Bonn Airport in adults using very similar methodology. Short-term annoyance reaction in children was not affected by the nocturnal aircraft noise exposure. Non-acoustical factors (e.g., the attitude that “aircraft are dangerous” or noise sensitivity), however, significantly impacted on children’s short-term annoyance. In contrast to children, the probability of moderate to high annoyance in adults increased with the number of aircraft flyovers during the time in bed. It is concluded that short-term annoyance from nocturnal aircraft noise in children is mainly determined by non-acoustical factors. Unlike in adults, acoustical factors did not play a significant role.

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“…In practice, the link function is specific to the distribution of the dependent variable, in this case annoyance. Since the basis of the dependent variable is highly annoyed, or not highly annoyed, our distribution is binomial and our corresponding link function is logit (Wilson et al 2013).…”

Section: Methodsmentioning

confidence: 99%

Non-acoustical variable contribution to military blast noise annoyance

Wayant¹

2018

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Information-criterion based selection of models for community noise annoyance

Cited by 10 publications

References 8 publications

ICBEN review of research on the biological effects of noise 2011-2014

ICBEN review of research on the biological effects of noise 2011-2014

Effects of Nocturnal Aircraft Noise and Non-Acoustical Factors on Short-Term Annoyance in Primary School Children

Non-acoustical variable contribution to military blast noise annoyance

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