Transportation noise is known to have negative impact on both public health and life quality. This study evaluated the relationship between transportation noise and annoyance levels, and also the difference of annoyance levels in two metropolitan cities based on epidemiologic surveys. Two thousand adult subjects living in Seoul and Ulsan were enrolled by stratified random sampling on the basis of noise maps from July 2015 to January 2016. Individual annoyance in accordance with transportation noise levels in two metropolitan cities were surveyed using an 11-point visual analog scale questionnaire. The results show that transportation noise level was significantly correlated with annoyance in both cities. Logistic regression analysis revealed that the risk of being 'highly annoyed' increased with noise level (Ldn , daynight average sound level) in both cities. After adjusting for age, residence period, sociodemographic factors (sex, education, marriage, income, alcohol, smoking, and exercise) and noise sensitivity, the risk of being 'highly annoyed' was increased with noise levels in both cities. In comparison to those of areas with noise levels below 55 dBA, the adjusted odds ratios of 'highly annoyed' for areas with 55-65 dBA and over 65 dBA were 2.056 (95% confidence interval [CI] 1.225-3.450), 3.519 (95% CI 1.982-6.246) in Seoul and 1.022 (95% CI 0.585-1.785), 1.704 (95% CI 1.005-2.889) in Ulsan, respectively. Based on the results of a population study, we showed that transportation noise levels were significantly associated with annoyance in adults. However, there were some differences between the two cities. In this study, there were differences in transportation noise between the two cities. Seoul has complex noise (traffic and aircraft), compared to single road traffic noise in Ulsan. Therefore, single and complex transportation noise may have different effects on annoyance levels.
Sung, J. H., Lee, J., Park, S. J., & Sim, C. S. (2016). Relationship of transportation noise and annoyance for two metropolitan cities in Korea: Population based study. PLoS ONE, 11(12). https://doi.org/10.1371/journal.pone.0169035