Modeling environmental noise pollution around the 1893 educational institutions for children in Tehran to support new urban design strategies.

ABSTRACT: We designed this study to map environmental noise pollution (ENP) around all elementary schools and kindergartens in Tehran using a land use regression (LUR) approach. Out of 135 spatial predictor variables, seven were identified as significant determinants of ENP. The final model demonstrated strong predictive performance, with an R² of 0.70 and an adjusted R² of 0.65. Additionally, the model had a leave-one-out cross-validation (LOOCV) R² of 0.59 and a root mean squared error (RMSE) of 3.15, indicating acceptable predictive accuracy. Among the significant predictors, green space area, and the distances to the nearest terminals, primary roads, and highways had negative effects on ENP, meaning that increases in these variables reduce noise levels around schools and kindergartens. In contra

SUBMITTER: Rigi N 

PROVIDER: S-EPMC12552612 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature