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

被引：1

作者：

Ahmad, Azlan ^{[1
]}

Fadilla, Baiq Mila ^{[2
]}

Maharani, Rosika Armiyanti ^{[1
]}

Jaafar, Mohd Hafiidz ^{[3
]}

Laiman, Rusdin ^{[1
]}

Ismail, Zitty Sarah ^{[1
]}

机构：

[1] Univ Teknol MARA, Fac Appl Sci, Sch Chem & Environm, Shah Alam 40450, Selangor, Malaysia

[2] Univ Airlangga, Fac Sci & Technol, Surabaya 60115, Indonesia

[3] Univ Sains Malaysia, Sch Ind Technol, Gelugor 11800, Pulau Pinang, Malaysia

来源：

ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL | 2024年 / 9卷 / 30期

关键词：

Traffic noise; Modelling; Urban Roads; PLS-SEM;

D O I：

10.21834/e-bpj.v9i30.6189

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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.

引用

页码：163 / 170

页数：8

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