Developing multivariate models for predicting the levels of multi-dimensional critical perceptions due to metro noise inside buildings

Wang, Qiaochu; Wang, Hongwei; Yang, Chenxi; Zhang, Guangyao

doi:10.1016/j.apacoust.2022.109083

Applied Acoustics

2022

DOI: 10.1016/j.apacoust.2022.109083

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Developing multivariate models for predicting the levels of multi-dimensional critical perceptions due to metro noise inside buildings

Qiaochu Wang

Hongwei Wang²,

Chenxi Yang³

et al.

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2024

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Cited by 2 publications

References 71 publications

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Evaluating the mitigating effects of water sounds on multi-dimensional negative reactions due to secondary radiation noise

Wang,

Hongwei,

et al. 2024

Acta Acust.

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People exhibit a range of negative reactions to noise. However, previous study on masking secondary radiation noise focused on its impact on a single negative reaction, namely dissatisfaction. This is a gap in understanding the mechanisms that mitigate multi-dimensional negative reactions (MNR), which encompass various emotional responses to noise, including annoyance, dissatisfaction, and others. Therefore, this study selected four mutually independent critical reactions (subjective loudness, depression, discomfort, and dissatisfaction) and analyzed the masking effects of adding four types of water sounds (fountain, stream, water-drop, and waterfall sounds) on MNR caused by secondary radiation noise. Seventy-nine participants were presented with a series of combined sound samples before casting their votes of MNR in an auditory test booth. The results revealed that adding the four types of water sounds mitigated the MNR induced by secondary radiation noise. Among them, the water-drop sound was the most effective, while the waterfall sound was the least capable. The fountain sound was preferred over the stream sound for optimizing the MNR, focusing on subjective loudness, discomfort and dissatisfaction, which were caused by higher level of combined sound. Furthermore, as global A-weighted sound level (LAeq) increased from 55 to 65 dBA, the mean subjective loudness levels generally remained the highest. Beyond the subjective loudness, when global LAeq increased to 65 dBA, the mean depression level exceeded the mean discomfort level and mean dissatisfaction level when the fountain or water-drop sound was added, whereas the three mean levels remained approximately equal when the stream or waterfall sound was added.

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Evaluating the mitigating effects of water sounds on multi-dimensional negative reactions due to secondary radiation noise

Wang,

Hongwei,

et al. 2024

Acta Acust.

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The Noise Exposure of Urban Rail Transit Drivers: Hazard Classification, Assessment, and Mitigation Strategies

Huang,

Sun,

et al. 2024

Applied Sciences

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Prolonged exposure to high-intensity noise environments in urban rail transit systems can negatively impact the health and work efficiency of drivers. However, there is a lack of comprehensive understanding of the noise pattern and, therefore, effective mitigation strategies. To control the noise in urban rail transit systems, this study proposes a comprehensive noise assessment framework, including metrics such as average sound pressure level, peak sound pressure level, percentile sound pressure levels, dynamic range, main frequency component, and cumulative time energy to evaluate the noise characteristics. We also employ a density-based spatial clustering of applications with noise (DBSCAN) method to identify the noise patterns with the evaluation of their hazard to urban rail transit drivers. The results have revealed that: (1) The equivalent continuous sound pressure level (Leq) in the cab of Lanzhou Urban Rail Transit Line 1 averages 87.12 dB, with a standard deviation of 8.52 dB, which reveals a high noise intensity with substantial fluctuations. (2) Ten noise patterns were identified, with frequencies varying from 14.47 Hz to 69.70 Hz and Leq varying from 60 dB to 115 dB. (3) The major noise sources from these patterns are inferred to be the train’s mechanical systems, wheel–rail interaction, aerodynamic effects, and braking systems. Combined with the noise patterns and urban rail transit’s operation environment, this study proposes tailored mitigation strategies for applications aimed at protecting drivers’ hearing health, enhancing work efficiency, and ensuring driving safety.

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Developing multivariate models for predicting the levels of multi-dimensional critical perceptions due to metro noise inside buildings

Cited by 2 publications

References 71 publications

Evaluating the mitigating effects of water sounds on multi-dimensional negative reactions due to secondary radiation noise

Evaluating the mitigating effects of water sounds on multi-dimensional negative reactions due to secondary radiation noise

The Noise Exposure of Urban Rail Transit Drivers: Hazard Classification, Assessment, and Mitigation Strategies

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