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    Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors by M. Rehman, M. Kamal, S. Tiwari

    Published 2025-01-01
    “…This study aimed to develop a machine-learning model for predicting traffic-induced noise annoyance in Riyadh, Saudi Arabia. The research explored the influence of factors like demographics, noise characteristics, and traffic conditions on noise annoyance.METHODS: A survey was conducted at 21 locations in Riyadh, collecting data from 928 participants. …”
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