A logistic prediction model for individual allowable noise levels

A logistic prediction model for individual allowable noise levels
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DOI:
10.1121/1.3003080
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发表时间:
2008-12-01
影响因子:
2.4
通讯作者:
Furihata, Kenji
Furihata, Kenji
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Furihata, Kenji

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对噪音的反感可能是衡量投诉和社区行动可能性的一个很好的指标。从传统的实验室研究和社会调查中无法准确预测每个人对噪音的厌恶程度。因此,一个逻辑预测模型的个人允许噪声水平已被开发。在之前的一篇论文中[K。furhata et al., Acta Acust。8月93日,73-83(2007)],使用日本社区噪音评估中最常用的与噪音相关的烦恼评级,构建了一个烦恼量表。在日本14个大城市,1474名受试者通过实地听声获得了剂量-反应关系。根据所有数据(n = 2940)的七个烦恼量表得分的每个累积百分比曲线估计的逻辑回归参数,建立逻辑预测模型。为了验证这一假设,我们通过室内实验构建了24名听力正常受试者的烦恼与L- aeq、L- ((5 min))之间的个体关系。从结果中得出的主要结论是,如果从每个受试者中至少获得一个剂量-反应关系,则该模型可以通过其L- aeq,L-(5 min)值来预测声音是否恼人。此外,还需要在实际情况下对模型进行验证。(C) 2008美国声学学会。(DOI: 10.1121/1.3003080)
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,L- ((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,L-(5 min) value. Moreover, validation of the model is needed in a field situation. (C) 2008 Acoustical Society of America. [DOI: 10.1121/1.3003080]