Nguyen Daniel D, Levy Jonathan I, Kim Chanmin, Lane Kevin J, Simon Matthew C, Hart Jaime E, Whitsel Eric A, VoPham Trang, Malwitz Andrew, Peters Junenette L
Department of Environmental Health, Boston University School of Public Health, Boston, MA, USA.
Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
J Expo Sci Environ Epidemiol. 2025 Jan;35(1):70-79. doi: 10.1038/s41370-023-00575-5. Epub 2023 Sep 21.
Aircraft noise is a key concern for communities surrounding airports, with increasing evidence for health effects and inequitable distributions of exposure. However, there have been limited national-scale assessments of aircraft noise exposure over time and across noise metrics, limiting evaluation of population exposure patterns.
We evaluated national-scale temporal trends in aviation noise exposure by airport characteristics and across racial/ethnic populations in the U.S.
Noise contours were modeled for 90 U.S. airports in 5-year intervals between 1995 and 2015 using the Federal Aviation Administration's Aviation Environmental Design Tool. We utilized linear fixed effects models to estimate changes in noise exposure areas for day-night average sound levels (DNL) of 45, 65, and a nighttime equivalent sound level (L) of 45 A-weighted decibels (dB[A]). We used group-based trajectory modeling to identify distinct groups of airports sharing underlying characteristics. We overlaid noise contours and Census tract data from the U.S. Census Bureau and American Community Surveys for 2000 to 2015 to estimate exposure changes overall and by race/ethnicity.
National-scale analyses showed non-monotonic trends in mean exposed areas that peaked in 2000, followed by a 37% decrease from 2005 to 2010 and a subsequent increase in 2015. We identified four distinct trajectory groups of airports sharing latent characteristics related to size and activity patterns. Those populations identifying as minority (e.g., Hispanic/Latino, Black/African American, Asian) experienced higher proportions of exposure relative to their subgroup populations compared to non-Hispanic or White populations across all years, indicating ethnic and racial disparities in airport noise exposure that persist over time.
Overall, these data identified differential exposure trends across airports and subpopulations, helping to identify vulnerable communities for aviation noise in the U.S.
We conducted a descriptive analysis of temporal trends in aviation noise exposure in the U.S. at a national level. Using data from 90 U.S. airports over a span of two decades, we characterized the noise exposure trends overall and by airport characteristics, while estimating the numbers of exposed by population demographics to help identify the impact on vulnerable communities who may bear the burden of aircraft noise exposure.
飞机噪音是机场周边社区的一个关键问题,越来越多的证据表明其对健康有影响,且暴露分布不均。然而,全国范围内对飞机噪音暴露随时间和不同噪音指标的评估有限,限制了对人群暴露模式的评估。
我们评估了美国按机场特征和不同种族/族裔人群划分的全国范围内航空噪音暴露的时间趋势。
使用联邦航空管理局的航空环境设计工具,对1995年至2015年期间美国90个机场每隔5年的噪音等值线进行建模。我们利用线性固定效应模型来估计白天-夜间平均声级(DNL)为45、65以及夜间等效声级(L)为45 A加权分贝(dB[A])时噪音暴露区域的变化。我们使用基于组的轨迹建模来识别具有共同潜在特征的不同机场组。我们将噪音等值线与美国人口普查局2000年至2015年的人口普查区数据和美国社区调查数据叠加,以估计总体和按种族/族裔划分的暴露变化。
全国范围内的分析显示,平均暴露区域呈非单调趋势,在2000年达到峰值,随后在2005年至2010年下降了37%,并在2015年随后有所增加。我们确定了四个不同的机场轨迹组,它们具有与规模和活动模式相关的潜在特征。与非西班牙裔或白人人群相比,在所有年份中,那些被认定为少数族裔(如西班牙裔/拉丁裔、黑人/非裔美国人、亚裔)的人群相对于其亚组人群经历了更高比例的暴露,这表明机场噪音暴露中的种族和族裔差异长期存在。
总体而言,这些数据确定了不同机场和亚人群之间的差异暴露趋势,有助于识别美国航空噪音的脆弱社区。
我们在国家层面上对美国航空噪音暴露的时间趋势进行了描述性分析。利用20年期间90个美国机场的数据,我们描述了总体和按机场特征划分的噪音暴露趋势,同时按人口统计特征估计了暴露人数,以帮助确定对可能承受飞机噪音暴露负担的脆弱社区的影响。