Comparative Study Of Vehicle Noise Levels at Different Times In An Urban Area: A Case Study

Indra Hasan; Albafery; Agus Mulyadi

doi:10.25299/jgeet.2025.10.1.21474

Authors

Indra Hasan Universitas Muhammadiyah Riau, Jl. Tuanku Tambusai, Kota Pekanbaru, Indonesia.
Albafery Purna Graha College of Economic Science, Jl. Nangka No.20 A, Kota Pekanbaru, Indonesia.
Agus Mulyadi Universitas Muhammadiyah Riau, Jl. Tuanku Tambusai, Kota Pekanbaru, Indonesia.

DOI:

https://doi.org/10.25299/jgeet.2025.10.1.21474

Keywords:

Noise Pollution, Traffic, Vehicle Noise Levels, ANOVA, Urban City

Abstract

Urban areas are increasingly facing the problem of noise pollution, which can significantly affect their residents' quality of life, health, and productivity. Noise caused by road traffic is one of the main contributors to this issue, particularly in cities with high traffic volumes. Despite its impact, the relationship between traffic patterns and noise levels at different times of the day remains underexplored. This study aims to investigate the variation in vehicle noise levels at different times of the day on Jalan Jenderal Sudirman in Pekanbaru City, Indonesia. The primary objective is to assess how vehicles' volume and speed contribute to noise pollution changes during peak and off-peak hours. The study was conducted by measuring the noise levels at three distinct time intervals: 07:00-09:00 GMT (morning), 11:00-13:00 GMT (daytime), and 15:00-18:00 GMT (afternoon/evening). These periods were selected to reflect the variation in traffic density and activity during the day. The data were analyzed using the ANOVA test to determine whether there were any significant differences in the noise levels across the different time intervals. The results showed that the average noise levels were similar during all three periods, with no statistically significant differences detected. The findings suggest that traffic volume and vehicle speed consistently impact noise pollution throughout the day. This study highlights the importance of managing traffic flow and vehicle speed to mitigate noise pollution in urban environments. The results also provide valuable insights for local authorities to develop policies to reduce noise pollution and improve the overall quality of life for residents in Pekanbaru.

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References

Andersen, Z.J., Pedersen, M., Weinmayr, G., Stafoggia, M., Galassi, C., Jørgensen, J.T., Sommar, J.N., Forsberg, B., Olsson, D., Oftedal, B., Aasvang, G.M., Schwarze, P., Pyko, A., Pershagen, G., Korek, M., Faire, U.D., Östenson, C.-G., Fratiglioni, L., Eriksen, K.T., Poulsen, A.H., Tjønneland, A., Bräuner, E.V., Peeters, P.H., Bueno-de-Mesquita, B., Jaensch, A., Nagel, G., Lang, A., Wang, M., Tsai, M.-Y., Grioni, S., Marcon, A., Krogh, V., Ricceri, F., Sacerdote, C., Migliore, E., Vermeulen, R., Sokhi, R., Keuken, M., de Hoogh, K., Beelen, R., Vineis, P., Cesaroni, G., Brunekreef, B., Hoek, G., Raaschou-Nielsen, O., 2018. Long-term exposure to ambient air pollution and incidence of brain tumor: the European Study of Cohorts for Air Pollution Effects (ESCAPE). Neuro Oncol 20, 420–432.

Babisch, W., 2006. Transportation noise and cardiovascular risk: updated review and synthesis of epidemiological studies indicate that the evidence has increased. Noise Health 8, 1–29.

BPS, 2019. Penduduk, Laju Pertumbuhan Penduduk, Distribusi Persentase Penduduk, Kepadatan Penduduk, Rasio Jenis Kelamin Penduduk Menurut Kabupaten/Kota di Provinsi Riau, 2024 -

Calixto, A., Pulsides, C., Zannin, P.H.T., 2008. Evaluation of transportation noise in urbanised areas. A case study. Archives of Acoustics 33, 185.

Emerson, R.W., 2017. Anova and T-Tests. Journal of Visual Impairment & Blindness 111, 193–196.

Fiedler, P.E.K., Zannin, P.H.T., 2015. Evaluation of noise pollution in urban traffic hubs—Noise maps and measurements. Environmental Impact Assessment Review 51, 1–9.

Gidlöf-Gunnarsson, A., Öhrström, E., 2007. Noise and well-being in urban residential environments: The potential role of perceived availability to nearby green areas. Landscape and Urban Planning 83, 115–126.

Gonzaga, J.L.D.A., Lins, E.A.M., Camboim, E.D., Silva, R.F.D., Gonzaga, A.B.D.A., De Melo, D.D.C.P., 2022. An Analysis of Urban Noise and its Impacts - Case Study. IJAERS 9, 282–287.

Gorai, A.K., Pal, A.K., 2006. Noise and its effect on human being--a review. J Environ Sci Eng 48, 253–260.

Halperin, D., 2014. Environmental noise and sleep disturbances: A threat to health? Sleep Science 7, 209–212.

Handayani, N., Sawitri, P., 2002. Analisa tingkat kebisingan lalu lintas pada jalan tol ruas Waru-Sidoarjo. Universitas Kristen Petra, Surabaya.

Hess, A.S., Hess, J.R., 2018. Analysis of variance. Transfusion 58, 2255–2256.

Ibili, F., Owolabi, A.O., Ackaah, W., Massaquoi, A.B., 2022. Statistical modelling for urban roads traffic noise levels. Scientific African 15, e01131.

ISO, 2016. ISO 1996-1:2016 Acoustics — Description, measurement and assessment of environmental noise [WWW Document]. ISO - International Organization for Standardization.

Johnson, D.R., Saunders, E.G., 1968. The evaluation of noise from freely flowing road traffic. Journal of Sound and Vibration 7, 287–309.

Kaufmann, J., Schering, A., 2014. Analysis of Variance ANOVA, in: Kenett, R.S., Longford, N.T., Piegorsch, W.W., Ruggeri, F. (Eds.), Wiley StatsRef: Statistics Reference Online. Wiley.

Marve, S.R., Bhorkar, M., Baitule, P., 2016. A Survey on Environmental Impacts Due to Traffic Congestion in Peak Hours. International Journal For Science Technology And Engineering 2, 151–154.

Mendonça, C., Freitas, E., Ferreira, J.P., Raimundo, I.D., Santos, J.A., 2013. Noise abatement and traffic safety: The trade-off of quieter engines and pavements on vehicle detection. Accid Anal Prev 51, 11–17.

Miedema, H.M., Oudshoorn, C.G., 2001. Annoyance from transportation noise: relationships with exposure metrics DNL and DENL and their confidence intervals. Environ Health Perspect 109, 409–416.

Montes-González, D., Vílchez-Gómez, R., Barrigón-Morillas, J.M., Atanasio-Moraga, P., Rey-Gozalo, G., Trujillo-Carmona, J., 2018. Noise and Air Pollution Related to Health in Urban Environments. Proceedings 2, 1311.

Nowakowski, M., 2019. The ANOVA method as a popular research tool. Studia i Prace WNEiZ 55, 67–77.

Pal, D., Bhattacharya, D., 2012. Effect of Road Traffic Noise Pollution on Human Work Efficiency in Government Offices, Private Organizations, and Commercial Business Centres in Agartala City Using Fuzzy Expert System: A Case Study. Advances in Fuzzy Systems 2012, 1–9.

Panchal, R., Dahiya, M., Saini, P.K., Garg, N., 2014. A Multiple Linear Regression Approach in Modeling Traffic Noise, in: Khangura, S.S., Singh, P., Singh, H., Brar, G.S. (Eds.), Proceedings of the International Conference on Research and Innovations in Mechanical Engineering, Lecture Notes in Mechanical Engineering. Springer India, New Delhi, pp. 547–554.

Patel, R., Singh, P.K., Saw, S., 2024. Traffic Noise Modeling under Mixed Traffic Condition in Mid-Sized Indian City: A Linear Regression and Neural Network-Based Approach. Int. j. math. eng. manag. sci. 9, 411–434.

PemKo Pekanbaru, 2019. Laju Pertumbuhan Penduduk Pekanbaru Diatas 4 Persen Portal Resmi Pemerintah Kota Pekanbaru.

Rahman, A., Muktadir, M.G., 2021. SPSS: An Imperative Quantitative Data Analysis Tool for Social Science Research. International Journal of Research and Innovation in Social Science 05, 300–302.

Ravinder, L., Belachew, M.G., 2014. Urban Noise in a Metropolitan Towns. OJA 04, 163–176.

Sitotaw Goshu, B., 2017. Urban Noise: A Case Study in Dire-Dawa City, Ethiopia. EJB 5, 17.

Song, Y., Yu, R., Zhou, H., Shu, H., 2016. Annoyance measurement of Singapore urban environmental noise, in: 2016 IEEE Region 10 Conference (TENCON). Presented at the 2016 IEEE Region 10 Conference (TENCON), pp. 588–591.

Steele, C., 2001. A critical review of some traffic noise prediction models. Applied Acoustics 62, 271–287.

Vaverková, M., Koda, E., Wdowska, M., 2021. Comparison of Changes of Road Noise Level Over a Century Quarter: A Case Study of Acoustic Environment in the Mountainous City. J. Ecol. Eng. 22, 139–150.