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Abstract Noise pollution often disturbs the people surrounding. The noise levels caused by traffic volume of automotive vehicles is one of the common causes. In order to examine the correlation of automotive vehicles with noise levels, this study implements linear and multiple regression methods into six case study locations in West Surabaya region that has dynamic of both economy and society. This study concludes that based on the obtained R square results, heavy vehicles (HV) has 70,80% of influence contribution with noise levels on the case study locations. It indicates that HV has the largest part in influencing the noise pollution compared to motorcycle (MC) and light vehicles (LV) that has 66,63% and 30,21%. On the other hand, for every 10% of MC, LV and HV volume increasing, the noise levels also increase by 1,726%, 2,032%, and 1,733% respectively. The correlation of MC, LV and HV vehicles with noise levels is represented in dB = 0,0025mc – 0,0056lv + 0,56hv + 49,539 of multiple regression model.
Kamandang et al. (Wed,) studied this question.