Comparison of Traffic Noise Attribute Factors and Noise Level Assessment Between Residential and Industrial Areas

The country's transport infrastructure is a key element of Malaysia's economic growth and achievement of its 2020 development goal. There will be a lot of expansion, including residential, industrial, and commercial businesses with high demand for transport, which might lead to more vehicles on the road, more traffic jams, and more noise pollution from traffic. Therefore, this study aims to compare the level of noise between residential and industrial areas as well as to analyse traffic noise attribute factors spatially and geographically, such as road geometry, traffic flow and climate conditions. The measurement was conducted at Shah Alam, the capital city of Selangor, Malaysia with each three sampling point locations in residential and industrial areas. The noise level was measured using a Sound Level Meter (SLM) with intervals of 3 hours from morning (8.00-11.00 a.m.), afternoon (12.00-3.00 p.m.) and evening (4.00-7.00 p.m.). The total sampling measurement was 36 for traffic noise. Other attribute factors of traffic noise were documented simultaneously, such as using a manual counter to measure the traffic volume, including buses, lorries, vans, motorcycles and cars. A tap meter was utilised to measure the width of the road for road geometry. However, climate conditions were obtained from secondary data (Google Weather Database). The result shows that the traffic noise level was above the standard regulation set by the Department of Environment, Malaysia, for Suburban and Urban Residential (Medium and Density) categories >65 dBA and Industrial areas > 75 dBA. Traffic noise attributes such as road geometry, traffic flow and climate conditions also contributed significantly to the high noise level. This work may have several implications for reference standards for measuring, calculating, and evaluating noise.

Authors

Institutions

Publication Details

Journal
PaperAsia
Published
2025-06-03
DOI
https://doi.org/10.59953/paperasia.v41i3b.489
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of Traffic Noise Attribute Factors and Noise Level Assessment Between Residential and Industrial Areas

Mazhani Muhammad, Zitty Sarah Ismail, Azizul Ahmad, Rosika Armiyanti Maharani et al.
PaperAsia
Noise Effects and Management
article

Comparison of Traffic Noise Attribute Factors and Noise Level Assessment Between Residential and Industrial Areas

Mazhani Muhammad, Zitty Sarah Ismail, Azizul Ahmad, Rosika Armiyanti Maharani, Mohammad Lui Jauhari
article en

Abstract

The country's transport infrastructure is a key element of Malaysia's economic growth and achievement of its 2020 development goal. There will be a lot of expansion, including residential, industrial, and commercial businesses with high demand for transport, which might lead to more vehicles on the road, more traffic jams, and more noise pollution from traffic. Therefore, this study aims to compare the level of noise between residential and industrial areas as well as to analyse traffic noise attribute factors spatially and geographically, such as road geometry, traffic flow and climate conditions. The measurement was conducted at Shah Alam, the capital city of Selangor, Malaysia with each three sampling point locations in residential and industrial areas. The noise level was measured using a Sound Level Meter (SLM) with intervals of 3 hours from morning (8.00-11.00 a.m.), afternoon (12.00-3.00 p.m.) and evening (4.00-7.00 p.m.). The total sampling measurement was 36 for traffic noise. Other attribute factors of traffic noise were documented simultaneously, such as using a manual counter to measure the traffic volume, including buses, lorries, vans, motorcycles and cars. A tap meter was utilised to measure the width of the road for road geometry. However, climate conditions were obtained from secondary data (Google Weather Database). The result shows that the traffic noise level was above the standard regulation set by the Department of Environment, Malaysia, for Suburban and Urban Residential (Medium and Density) categories >65 dBA and Industrial areas > 75 dBA. Traffic noise attributes such as road geometry, traffic flow and climate conditions also contributed significantly to the high noise level. This work may have several implications for reference standards for measuring, calculating, and evaluating noise.

PaperAsiaVol. 41(3b)
Universiti Teknologi MARA (MY), National University of Malaysia (MY)
Universiti Teknologi MARA
Openalex Percentile: Top 83%
Noise Effects and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.