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The aim of the present study is to establish exposure-response relationships reflecting the percentage highly annoyed (%HA) as functions of road traffic, railway, and aircraft noise exposure, measured as day-evening-night level (Lden), as well as to elucidate the degree to which the acoustic indicator Intermittency Ratio (IR), which reflects the "eventfulness" of a noise situation, predicts noise annoyance. We conducted a mixed-mode representative population survey in a stratified random sample of 5592 residents exposed to transportation noise all over Switzerland. Source-specific noise exposure was calculated for each floor and each façade based on comprehensive traffic data. Noise annoyance was measured using the ICBEN 11-point scale. The survey was carried out in 4 waves at different times of the year. We hypothesized that in addition to Lden, the effects of noise on annoyance can be better explained when also considering the intensity of short-term variations of noise level over time. We therefore incorporated the acoustic indicator IR in the statistical models. For all noise sources, results revealed significant associations between Lden and %HA after controlling for confounders and independent predictors such as IR (measured over 24 h), exposure to other transportation noise sources, sex and age, language, home ownership, education level, living duration, temperature, and access to a quiet side of the dwelling. Aircraft noise annoyance scored markedly higher than annoyance to railway and road traffic noise at the same Lden level. Railway noise elicited higher percentages of highly annoyed persons than road traffic noise. Results furthermore suggest that for road traffic noise, IR has an additional effect on %HA and can explain shifts of the exposure-response curve of up to about 6 dB between low IR and high IR exposure situations, possibly due to the effect of different durations of noise-free intervals between events. For railway and aircraft noise annoyance, the predictive value of IR was limited.
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http://dx.doi.org/10.1016/j.envint.2019.01.043 | DOI Listing |
Int J Occup Saf Ergon
September 2025
Department of Psychology, Catholic University Eichstätt-Ingolstadt, Germany.
As noise is one of the most significant stress factors in the teaching profession, its impact in real classroom situations was investigated in Study 1. Noise levels ( = 56) were measured, and teachers were surveyed afterward. In Study 2, assumed correlations between school-specific noise sources, noise perception and strain were quantified in a sample of 820 teachers via online survey.
View Article and Find Full Text PDFOxf Open Clim Chang
August 2025
Centre for Environmental Health and Sustainability, University of Leicester, Leicester, LE1 7RH, United Kingdom.
Noise pollution is a planetary health problem. This perspective article sets out to provide a high-level summary of recent scientific evidence on the impacts of noise pollution from transport on human and the natural environment. Beyond annoyance and sleep disturbance, evidence has indicated that traffic noise is associated with cardiovascular diseases, metabolic outcomes, mental health and neurological health.
View Article and Find Full Text PDFInt J Environ Res Public Health
August 2025
Department of Architecture, National Institute of Technology, Ishikawa College, Tsubata 929-0392, Japan.
This study examines the impact of aircraft noise on annoyance and sleep disturbances among residents near Tan Son Nhat Airport in Ho Chi Minh City, Vietnam, from 2019 to 2023. It aims to assess the specific effects of aircraft noise exposure on sleep quality, as well as changes in exposure due to reduced air traffic during the COVID-19 pandemic. Surveys conducted before and during the pandemic revealed that, despite lower noise levels, residents continued to report high levels of annoyance, indicating a complex exposure-response relationship.
View Article and Find Full Text PDFEnviron Int
August 2025
Institute of Space and Earth Information Science, Fok Ying Tung Remote Sensing Science Building, The Chinese University of Hong Kong, Hong Kong Special Administrative Region; Department of Geography and Resource Management, Wong Foo Yuan Building, The Chinese University of Hong Kong, Hong Kong Speci
With the continuous expansion of urban populations, interactions between humans and their environments have grown increasingly frequent and complex. Traditional environmental studies often focus on isolated factors or specific locations, neglecting the cumulative impact of contextual environments on human perception. To address this gap, this study employs noise exposure as a case study and utilizes an interpretable spatio-temporal graph convolutional network (ST-GCN) framework to model the perception process in urban environments.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
August 2025
Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, 395007, Gujarat, India.
A comprehensive investigation was undertaken to evaluate the noise exposure levels received by public bus drivers and its potential consequences on their efficacy and health. Noise exposure levels were measured for drivers across forty distinct routes, followed by subjective data collection from 410 drivers through in-depth personal interviews. Noise exposure levels were quantified using time-weighted average sound pressure level (TWA) and noise dose, which were compared to Occupational Safety and Health Administration (OSHA) standards referred to as action level (85 dB and 50% noise dose) and criterion level (90 dB and 100% noise dose).
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