Impact of Speed Bump on Vehicle Noise: Motorcycle and Light Vehicle
DOI:
https://doi.org/10.37598/jscei.v1i2.014Keywords:
Noise, speed, speed bump, resident areaAbstract
Installing speed control devices, or speed bumps, in residential areas has positive and negative impacts. The positive impact is that it functions to control vehicle speed, while the negative impact is noise and discomfort for residents. This research aims to determine the effect of installing speed bumps on noise levels and vehicle speed and explore the relationship between speed bump dimensions, speed reduction, and noise levels. Linear regression analysis was conducted using SPSS software, employing stepwise and enter methods. The results show that the noise level produced by vehicles is higher when passing over speed bumps in area 2 and after passing them in area 3 compared to before encountering the speed bumps in area 1. The average noise levels for motorcycles (MC) are 65.8 dBA in area 1, 69.3 dBA in area 2, and 70.5 dBA in area 3. The average noise levels for light vehicles (LV) are 64.7 dBA in area 1, 68.2 dBA in area 2, and 69.3 dBA in area 3. Additionally, the study found that motorbike noise levels are higher than those of light vehicles. Furthermore, the analysis showed that speed bump width has a lower correlation with increased noise compared to speed bump height and speed reduction. This study reveals that while the height of speed bumps can significantly influence noise levels, the width of speed bumps and speed reduction have a smaller impact.
Downloads
References
M. Haseeb, G. Zandi, N. H. Hartani, M. H. Pahi, and S. Nadeem, "Environmental analysis of the effect of population growth rate on supply chain performance and economic growth of Indonesia," Ekoloji, vol. 28, no. 107, pp. 417–426, 2019. https://www.researchgate.net/publication/340598135_Environmental_Analysis_of_the_Effect_of_Population_Growth_Rate_on_Supply_Chain_Performance_and_Economic_Growth_of_Indonesia
A. T. Moreno and A. García, "Use of speed profile as surrogate measure: Effect of traffic calming devices on crosstown road safety performance," Accid. Anal. Prev., vol. 61, pp. 23–32, 2013, https://doi.org/10.1016/j.aap.2012.10.013
T. A. O. Salau, A. O. Adeyefa, and S. A. Oke, "Vehicle speed control using road bumps," Transport, vol. 19, no. 3, pp. 130–136, 2004, https://www.tandfonline.com/doi/abs/10.1080/16484142.2004.9637965
A. Jaganaputra and T. B. Joewono, “Pengaruh Penggunaan Speed Humps Terhadap Tingkat Kebisingan,” J. Transp., vol. 11, no. 1, pp. 19–28, 2011. https://journal.unpar.ac.id/index.php/journaltransportasi/article/view/439
P. Kokowski and R. Makarewicz, "Predicted effects of a speed bump on light vehicle noise," Appl. Acoust., vol. 67, no. 6, pp. 570–579, 2006, https://doi.org/10.1016/j.apacoust.2005.10.001
K. S. Radhiah Bachok, A. A. Kadar Hamsa, M. Z. Bin Mohamed, and M. Ibrahim, "A theoretical overview of road hump effects on traffic noise in improving residential well-being," Transp. Res. Procedia, vol. 25, pp. 3383–3397, 2017, https://doi.org/10.1016/j.trpro.2017.05.224
F. Soriguera and F. Robusté, "Estimation of traffic stream space mean speed from time aggregations of double loop detector data," Transp. Res. Part C Emerg. Technol., vol. 19, no. 1, pp. 115–129, 2011, https://doi.org/10.1016/j.trc.2010.04.004
R. Burkard, "Sound pressure level measurement and spectral analysis of brief acoustic transients,"Electroencephalography and clinical Neurophysiology, vol. 57, no. 1, pp. 83–91, 1984, https://doi.org/10.1016/0013-4694(84)90010-5
A. Wald, "A Note on Regression Analysis Author (s): Abraham Wald Source: The Annals of Mathematical Statistics , Vol . 18 , No . 4 ( Dec ., 1947 ), pp . 586-589 Published by: Institute of Mathematical Statistics Stable URL : http://www.jstor.org/stable/2236237," vol. 18, no. 4, pp. 586–589, 1947, [Online]. Available: https://www.jstor.org/stable/2236237
W. T. Bhirawa, “Proses Pengolahan Data Dari Model Persamaan Regresi Dengan Menggunakan Statistical Product and Service Solution (SPSS),” Statistika, pp. 71–83, 2020, [Online]. Available: http://journal.universitassuryadarma.ac.id/index.php/jmm/article/download/528/494
M. Gregorich, S. Strohmaier, D. Dunker, G. Heinze, “Regression with Highly Correlated Predictors: Variable Omission Is Not the Solution“ Int. J. Environ. Res. Public Health 2021, 18(8), 4259; https://doi.org/10.3390/ijerph18084259
Downloads
Published
Issue
Section
Categories
License
Copyright (c) 2024 Ina Monica Br Tarigan, Zulfhazli Abdullah, Muhammad Fauzan, Yulius Rief Alkhaly, Muhammad Fikry, Thierry Yerema Coulibaly, Herman Fithria, Muhammad Basyir (Author/Co-author)

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
