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Home > Archives > Volume 20, No 11 (2022) > Article

DOI: 10.14704/NQ.2022.20.11.NQ66012

Prediction Model of Traffic Noise in Padang City

Deded Chandra, Eri Barlian, Heldi

Abstract

Traffic noise is a major environmental problem in urban areas. Padang City as the capital of West Sumatra Province has the potential to be exposed to traffic noise due to population growth and motorized vehicles. This study aims to determine the prediction model of traffic noise in Padang City. This type of research is quantitative. The population in this study is all designated to the area/environment of activities in the city of Padang. While the sample was taken purposively as many as 14 points. Traffic characteristics and noise level data were measured using a sound level meter. Noise predictions were made using the Calculation of Road Traffic Noise (CRTN) model. The results showed that the traffic noise level in Padang City ranged from 65.2 to 84.8 dBA. The highest noise is found in the Semen Padang Hospital area due to heavy vehicles and high speeds. On the other hand, the lowest noise is in the Pasar Raya Market area. The performance of the basic CRTN model on the measurement is classified as good with a coefficient of determination (R²) ranging from 0.629 to 0.805 and an average difference of 2.1 dBA. Adjustment of the CRTN model with measurements resulted in a revised CRTN model. This model can then be applied to predict traffic noise levels in Padang City.

Keywords

noise, modeling, traffic, padang city

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