Univ Lyon, Univ Gustave Eiffel, IFSTTAR, Univ Lyon 1, Umrestte UMR-T9405, F-69675 Bron, France; Now at: Technical Agency for Information on Hospital Care, F-69329 Lyon, France.
Univ Gustave Eiffel, IFSTTAR, AME-DCM, F-69675 Bron, France.
Environ Int. 2020 Nov;144:106058. doi: 10.1016/j.envint.2020.106058. Epub 2020 Sep 2.
Since the 2000s, increased aircraft noise annoyance has been observed in the populations living near airports. The DEBATS-study compared the exposure-response relationship estimated among airports' residents in France with old and new EU standard curves. It also examines whether non-acoustical factors may explain this annoyance. For 1244 adults living near three French airports, information about demographic and socio-economic factors as well as aircraft noise annoyance, situational, personal and attitudinal factors was collected with a face-to-face questionnaire. Outdoor aircraft noise exposure was estimated by linking home address to noise exposure maps. Logistic regression models were used to investigate the association between annoyance and a broad range of other variables in addition to the L. Severe noise annoyance was associated not only with increased aircraft noise levels, but also with non-acoustical factors. Annoyance was higher than predicted by the old EU standard curve when estimated with the model including non-acoustical factors in addition to the L. It was even higher when only noise exposure was considered. However, annoyance was lower in DEBATS than predicted by the new EU standard curve provided by WHO. The increase of noise annoyance does not seem to be explained by the factors already mentioned in the literature as possible explanations. However, it cannot be ruled out that methodological differences in the HA assessment may be the reason for changes in annoyance over the years. For this reason, we argue for a definition of HA derived substantially as recommended by ICBEN. The findings of the DEBATS study also confirm that taking into account non-acoustical factors such as situational, personal and attitudinal factors would improve annoyance predictions.
自 21 世纪以来，在居住在机场附近的人群中，观察到飞机噪声烦恼增加。DEBATS 研究将法国机场居民的暴露-反应关系与旧的和新的欧盟标准曲线进行了比较。它还检查了非声学因素是否可以解释这种烦恼。对于居住在法国三个机场附近的 1244 名成年人，通过面对面问卷收集了有关人口统计学和社会经济因素以及飞机噪声烦恼、情境、个人和态度因素的信息。通过将家庭住址与噪声暴露图联系起来，估算了室外飞机噪声暴露。逻辑回归模型用于调查烦恼与除 L 之外的广泛其他变量之间的关联。严重的噪声烦恼不仅与飞机噪声水平的增加有关，还与非声学因素有关。当除了 L 之外还包括非声学因素的模型来估计烦恼时，它比旧的欧盟标准曲线预测的要高。当只考虑噪声暴露时，它甚至更高。然而，在 DEBATS 中，烦恼比世卫组织提供的新欧盟标准曲线预测的要低。噪声烦恼的增加似乎不能用文献中提到的作为可能解释的因素来解释。然而，不能排除在 HA 评估中的方法学差异可能是多年来烦恼变化的原因。因此，我们主张根据 ICBEN 的建议，从根本上定义 HA。DEBATS 研究的结果还证实，考虑情境、个人和态度等非声学因素会提高烦恼预测的准确性。
