Statistical Modelling of Traffic Noise Using Smart PLS-SEM In Urban Roads

Authors

  • Azlan Ahmad School of Chemistry & Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Selangor, Malaysia
  • Baiq Mila Fadilla Faculty of Science and Technology, University of Airlangga, Surabaya, 60115, Indonesia
  • Rosika Armiyanti Maharani School of Chemistry & Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Selangor, Malaysia
  • Mohd Hafiidz Jaafar School of Industrial Technology, Universiti Sains Malaysia, 11800 Pulau Pinang, Malaysia
  • Rusdin Laiman School of Chemistry & Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Selangor, Malaysia
  • Zitty Sarah Ismail School of Chemistry & Environment, Faculty of Applied Sciences, Universiti Teknologi MARA, 40450 Selangor, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v9i30.6189

Keywords:

Traffic noise, Modelling, Urban Roads, PLS-SEM

Abstract

The objectives of this study are to assess the traffic noise levels in Shah Alam, Selangor, Malaysia, and to propose traffic noise model among influential factors. Five factors and 20 attributes were measured at three locations using a sound level meter and analyzed using the PLS-SEM approach. The results of this study showed that high traffic noise levels on urban roads exceeded the maximum permissible limit of 60 dBA during the day, according to Malaysian guidelines. However, the integrated traffic noise prediction model approach has specific indirect effects: built environment -> climate conditions -> traffic flow.

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Published

2024-10-31

How to Cite

Ahmad, A., Fadilla, B. M., Maharani, R. A., Jaafar, M. H., Laiman , R., & Ismail, Z. S. (2024). Statistical Modelling of Traffic Noise Using Smart PLS-SEM In Urban Roads. Environment-Behaviour Proceedings Journal, 9(30), 163–170. https://doi.org/10.21834/e-bpj.v9i30.6189

Issue

Section

Travel / Transportation Environment