Statistical Modelling of Traffic Noise Using Smart PLS-SEM in Urban Roads
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 r...
| Published in: | ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL |
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| Main Authors: | , , , , , , |
| Format: | Proceedings Paper |
| Language: | English |
| Published: |
E-IPH LTD UK
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001408340600018 |
| Summary: | 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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| ISSN: | 2398-4287 |
| DOI: | 10.21834/e-bpj.v9i30.6189 |