ArticleScientific reports2022
Quantifying traffic noise pollution levels: a cross-sectional survey in South Africa.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Exposure of children to multiple long-term air pollutants (PMEnvironmental research letters : ERL [Web site] · 2026Article
- Real-Time Low-Cost Traffic Monitoring Based on Quantized Convolutional Neural Networks for the CNOSSOS-EU Noise Model.Sensors (Basel, Switzerland) · 2026Article
- Association between noise pollution exposure and incident breast cancer in the Sister Study.Environmental research · 2026Article
- Noise mapping and ambient sound recordings of the urban environment in Uganda.Scientific data · 2026Article
- City-wide space-time patterns of environmental noise pollution in Kigali, Rwanda.Environmental research letters : ERL [Web site] · 2025Article
- Application of an improved spherical omnidirectional loudspeaker array model in environmental noise pollution control.Scientific reports · 2025Article
- Recreational noise induced hearing loss: South African undergraduate students' perspectives.Frontiers in public health · 2025Article
- Article
- The Sound of a Circular City: Towards a Circularity-Driven Quietness.International journal of environmental research and public health · 2022Article
- Audiological Symptoms Experienced by Taxi Drivers at Two Taxi Ranks in Johannesburg, South Africa.Noise & healthArticle
- Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the alarming increase in environmental noise pollution, particularly road traffic noise, in developing countries, there seems to be no awareness regarding the long-term impacts of noise, specifically traffic noise, on the health outcomes of individuals exposed to excessive noise. Additionally, there is a dearth of studies on noise and its effects utilising the pollution modelling technique known as Pollution Standard Index (PSI) to analyse the impact of noise pollution on exposed individuals. The aim of this study was to investigate the noise levels commuters are exposed to and to apply PSI to determine the level of exposure. We conducted a cross-sectional study at two taxi ranks, over 28 days. Eighty-four noise measurements were collected using a sound level meter and a dosimeter at different times of the day and month, peak vs off-peak hours and busy days vs quiet days. Data were collected between April and July 2019. We used the Pollution Standard Index to analyse the data. Noise levels were above the permissible commercial noise levels as they fell within the extremely dangerous noise sensitivity zone as determined by the PSI. Furthermore, the noise levels fell below the WHO maximum permissible level of 90 dB. There was no statistical difference between the means of the open and closed ranks. Dosimeter noise level recordings fell within the satisfactory zone as measurements were below 300 PSI, which is considered unhealthy. There is a need to raise awareness on the dangers and effects of noise pollution in developing countries, as their populations are exposed to road traffic noise.
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