Data Collection
Examples
Quantifying traffic noise pollution levels: a cross-sectional survey in South Africa
Moroe & Mabaso (2022) conducted a cross-sectional study to measure traffic noise levels and how it causes noise pollution. The study investigated the noise levels that commuters are exposed to and used the Pollution Standard Index (PSI) to determine the level of exposure. The methodology involved using a sound level meter and a dosimeter at different times of the day for over 28 days. The data was collected within the span of three months. After the data was collected and analyzed, the researchers measured the noise levels which were above permissible commercial noise levels (90bB) according to the World Health Organization. The noise levels were considered dangerous to the commuters and suggested a need to raise awareness of the dangers and effects of noise pollution in developing countries.