A logistic prediction model for individual allowable noise levels
Autor: | Kenji Furihata |
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Rok vydání: | 2009 |
Předmět: |
Adult
Male Acoustics and Ultrasonics Scale (ratio) Adolescent Annoyance Community action Logistic regression Models Biological Risk Assessment Young Adult Arts and Humanities (miscellaneous) Japan Predictive Value of Tests Noise assessment Surveys and Questionnaires Statistics Humans Statistical analysis Child Mathematics Noise pollution Reproducibility of Results Environmental Exposure Middle Aged Noise Affect Logistic Models Acoustic Stimulation Attitude Auditory Perception Female Psychoacoustics |
Zdroj: | The Journal of the Acoustical Society of America. 124(6) |
ISSN: | 1520-8524 |
Popis: | Annoyance to noise is probably a good measure of the potential for complaint and community action. Each individual's degree of annoyance to noise cannot be accurately predicted from conventional laboratory studies and social surveys. Therefore, a logistic prediction model for individual allowable noise levels has been developed. In a previous paper [K. Furihata et al., Acta Acust. Acust. 93, 73-83 (2007)], an annoyance scale using the most frequently used annoyance ratings related to noise for community noise assessment in Japan was constructed. The dose-response relationships were obtained by actually listening to sounds in a field situation (1474 subjects) carried out at 14 metropolitan cities in Japan. The logistic prediction model was developed using the logistic regression parameters estimated from each cumulative percentage curve of seven annoyance scale scores based on all data (n=2940). To verify the hypothesis, individual relationships between annoyance and L(Aeq, (5 min)) for 24 normal-hearing subjects were constructed using a laboratory experiment. The main conclusion drawn from the results is that if at least one dose-response relation is obtained from each subject, the model can predict whether a sound is annoying or not from its L(Aeq,(5 min)) value. Moreover, validation of the model is needed in a field situation. |
Databáze: | OpenAIRE |
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