The influence of acoustical and non-acoustical factors on short-term annoyance due to aircraft noise in the field - The COSMA study
The influence of acoustical and non-acoustical factors on short-term annoyance due to aircraft noise in the field - The COSMA study
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DOI：
10.1016/j.scitotenv.2015.08.064
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发表时间：
2015-12-15
影响因子：
9.8
通讯作者：
Mueller, Uwe
中科院分区：
文献类型：
--
作者：
Bartels, Susanne;Marki, Ferenc;Mueller, Uwe
背景：过去几十年来，空中交通量不断增加，预计将继续增长。由于当前机场运行产生的噪声会损害机场居民的身心健康。目的：现场研究调查了飞机噪声引起的短期（即，在每小时的间隔内）在一个繁忙的忙碌机场附近的当地居民的烦恼。我们的目的是研究声学和非声学因素的贡献的烦恼rating.Methods：在四天从起床到上床睡觉，55名居民附近的科隆/波恩机场（M = 46年，SD = 14年，34名女性）额定他们的烦恼，由于飞机噪音在每小时的时间间隔。对于每个参与者和每个小时，获得来自室外测量的26个噪声度量和另外6个考虑到由于每个人在其家中和周围的行踪而引起的声音衰减的个性化度量。非声学变量被区分为情境因素（一天中的时间、在过去一小时内进行的活动、一周中的一天）和个人因素（例如，对噪音的敏感性、态度、家庭噪音隔离）。广义估计方程被应用于发展的预测modelforannoys.Results模型：声学因素解释只有一小部分（13.7%）的方差在烦恼的评级。立交桥的数量预测烦恼比等效和最大声压级。解释的方差烦恼的比例上升相当（27.6%）时，个性化的噪声指标，以及环境和个人变量被包括在预测model.Conclusions：考虑噪声指标的天桥和个人调整的噪声指标的数量相关，可以提高短期烦恼的预测相比，模型使用相当于室外水平。非声学因素不仅对长期烦恼有显着的影响，而且对家庭环境中判断的短期烦恼也有显着影响。(C)2015 Elsevier B. V.版权所有。
Background: Air traffic has increased for the past decades and is forecasted to continue to grow. Noise due to current airport operations can impair the physical and psychological well-being of airport residents.Objectives: The field study investigated aircraft noise-induced short-term (i.e., within hourly intervals) annoyance in local residents near a busy airport. We aimed at examining the contribution of acoustical and non-acoustical factors to the annoyance rating.Methods: Across four days from getting up till going to bed, 55 residents near Cologne/Bonn Airport (M = 46 years, SD = 14 years, 34 female) rated their annoyance due to aircraft noise at hourly intervals. For each participant and each hour, 26 noise metrics from outdoor measurements and further 6 individualized metrics that took into account the sound attenuation due to each person's whereabouts in and around their homes were obtained. Non-acoustical variables were differentiated into situational factors (time of day, performed activity during past hour, day of the week) and personal factors (e.g., sensitivity to noise, attitudes, domestic noise insulation). Generalized Estimation Equations were applied for the development of a prediction model for annoyance.Results: Acoustical factors explained only a small proportion (13.7%) of the variance in the annoyance ratings. The number of fly-overs predicted annoyance better than did equivalent and maximum sound pressure levels. The proportion of explained variance in annoyance rose considerably (to 27.6%) when individualized noise metrics as well as situational and personal variables were included in the prediction model.Conclusions: Consideration of noise metrics related to the number of fly-overs and individual adjustment of noise metrics can improve the prediction of short-term annoyance compared to models using equivalent outdoor levels only. Non-acoustical factors have remarkable impact not only on long-term annoyance as shown before but also on short-term annoyance judged in the home environment. (C) 2015 Elsevier B.V. All rights reserved.