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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:ENVIRONMENT-BEHAVIOUR PROCEEDINGS JOURNAL
المؤلفون الرئيسيون: Ahmad, Azlan; Fadilla, Baiq Mila; Maharani, Rosika Armiyanti; Jaafar, Mohd Hafiidz; Laiman, Rusdin; Ismail, Zitty Sarah
التنسيق: Proceedings Paper
اللغة:English
منشور في: E-IPH LTD UK 2024
الموضوعات:
الوصول للمادة أونلاين:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001408340600018
الوصف
الملخص: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.
تدمد:2398-4287
DOI:10.21834/e-bpj.v9i30.6189