Measurement and prediction of road traffic noise at different building floor levels in Hong Kong

Abstract

In Hong Kong, approximately one million people are affected by severe road traffic noise. It is crucial to estimate the vertical distribution of traffic noise levels at different levels in high-rise buildings during the planning and design stages for new residential buildings. The Calculation of Road Traffic Noise (CRTN) has been adopted in Hong Kong to estimate traffic noise from the road. However, there have been criticisms of the CRTN model’s accuracy and suitability for predicting road traffic noise in Hong Kong. This study examines and evaluates the accuracy of the CRTN method in predicting the vertical distribution of traffic noise level LA10 at different floor levels of a 20-storey residential building in Hong Kong. Also, measurements have been conducted of the traffic noise levels at each floor level of the building. Both the predicted and measured LA10 show a similar trend: the higher the floor level, the lower the traffic noise levels. However, the predicted LA10 at the building façade has a tendency of overestimation, especially at the higher floor levels, with a mean difference of +2.0 dBA between the predicted and measured results. A correlation coefficient (R2) of 0.9331 between the predicted and the measured LA10 indicates that the predicted levels correlate closely with the measured levels. The CRTN is therefore a useful tool in predicting traffic noise levels at different floor levels during the building planning stage. Practical application: This study provides an evaluation of the accuracy of the CRTN method in predicting the vertical distribution of traffic noise level at different floor levels of a residential building. It suggests that the CRTN is a useful tool in predicting traffic noise levels at different floor levels during the building planning stage.

High life in the sky? Mortality by floor of residence in Switzerland

“…2). Environmental exposures may also play a role, for example the higher levels of airborne pollutants, including particulate matter, polycyclic aromatic hydrocarbons or carbon monoxide [25, 26] or higher levels of road traffic noise [27] at lower floor levels. Of note, a previous analysis of the SNC found that aircraft noise was associated with mortality from myocardial infarction, with a dose–response relationship for level and duration of exposure [28].…”

Field study on the influence of spatial and environmental characteristics on the evaluation of subjective loudness and acoustic comfort in underground shopping streets

“…A number of previous studies indicated that users' evaluation varies at different floor levels of the same building [37][38][39][40]. In this study, in order to test if the evaluation of acoustics is influenced by different floor levels, the mean difference in acoustic comfort is determined between the first and second floors of the Qiu Lin underground shopping street.…”

The Association between Residence Floor Level and Cardiovascular Disease: The Health and Environment in Oslo Study

“…Vertical variations of air pollution [24, 25], environmental noise [26], and physical activity by use of stairs were suggested by Panczak and coworkers (2013) as possible explanations for floor level effects on CVD, as such mechanisms would explain the negative associations of their study. In the current study, no statistical test can support a negative association, despite the fact that both environmental noise and air pollution are known to be widespread hazards also in Oslo [27, 28].…”