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从社会调查中计算噪声致烦恼的社区容忍水平值的样本量意义。

Sample size implications for calculations of community tolerance level values from social surveys of noise-induced annoyance.

机构信息

SINTEF DIGITAL, P.O. Box 4760 Torgarden, N-7465 Trondheim, Norway.

Fidell Associates Inc., 23139 Erwin Street, Woodland Hills, California 91367, USA.

出版信息

J Acoust Soc Am. 2019 Aug;146(2):1212. doi: 10.1121/1.5121716.

DOI:10.1121/1.5121716
PMID:31472591
Abstract

The relationship between noise exposure and the prevalence of annoyance of transportation noise in a community is commonly characterized by a so-called dose-response curve, also referred to as exposure-response curves. Such curves are generally estimated by meta-analyses of social survey findings. Large numbers of survey respondents are generally assumed to be associated with exposure-response relationships of high accuracy and precision. The community tolerance level (CTL) approach [Fidell, Mestre, Schomer, Berry, Gjestland, Vallet, and Reid (2011). J. Acoust. Soc. Am 130, 791-806] to analysis of noise-induced annoyance in communities assumes (1) that the prevalence of a consequential degree of annoyance in communities grows as does the duration-adjusted loudness of noise exposure, and (2) that this rate-of-growth function is constant for all transportation noise sources. Because CTL analysis assumes a growth function with a single parameter the entire relationship between noise exposure and prevalence of high annoyance can be described by a single quantity-a CTL value. A re-analysis of the results of about 100 social surveys shows that a sample of about 300 respondents yields results with useful precision limits for regulatory purposes.

摘要

交通噪声引起的烦恼与噪声暴露之间的关系通常用所谓的剂量-反应曲线来描述,也称为暴露-反应曲线。这些曲线通常通过对社会调查结果的荟萃分析来估计。通常假设大量的调查受访者与高精度和高精确度的暴露-反应关系相关。社区容忍度(CTL)方法[Fidell、Mestre、Schomer、Berry、Gjestland、Vallet 和 Reid(2011)。J. Acoust. Soc. Am 130,791-806]用于分析社区中噪声引起的烦恼,假设(1)随着噪声暴露的持续时间调整后的响度增加,社区中产生严重程度烦恼的流行率会增加,(2)这种增长率函数对于所有交通噪声源都是恒定的。由于 CTL 分析假设增长函数只有一个参数,因此噪声暴露与高烦恼发生率之间的整个关系可以用一个单一的量来描述,即 CTL 值。对大约 100 项社会调查结果的重新分析表明,大约 300 名受访者的样本对于监管目的具有有用的精度限制。

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