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

• Published in: ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
• Main Authors: Ahmad, Azlan; Fadilla, Baiq Mila; Maharani, Rosika Armiyanti; Jaafar, Mohd Hafiidz; Laiman, Rusdin; Ismail, Zitty Sarah
• Format: Proceedings Paper
• Language: English
• Published: E-IPH LTD UK 2024
• Subjects: Environmental Sciences & Ecology
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001408340600018

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.