01661459

Component

Environmental noise can cause important cardiovascular effects, stress and sleep disturbance.The development of appropriate methods to estimate noise exposure within a single urban area remains a challenging task, due to the presence of various transportation noise sources (road, rail, and aircraft). In this study, we developed a land-use regression (LUR) approach using a General Additive Model (GAM) for LAeq (equivalent noise level) to capture the spatial variability of noise levels in Toronto, Canada. Four different model formulations were proposed based on continuous 20-min noise measurements at 92 sites and a leave one out cross-validation (LOOCV).Values for the adjusted R² ranged between 0.64 and 0.44. Models where coefficients for variables considered as noise sources were forced to be positive, led to the development of more realistic exposure surfaces. When comparing exposures derived from the four approaches to personal exposures from a panel study, we observed that all approaches performed very similarly, with values for the Fractional mean bias (FB), normalized mean square error (NMSE), and normalized absolute difference (NAD) very close to 0.

This paper was sponsored by TRB committee ADC40 Standing Committee on Transportation-Related Noise and Vibration.

18-03597

English

16p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Land use models; Noise; Noise sources; Public health; Regression analysis; Spatial analysis

Toronto (Canada)

Environment; Transportation (General)

Transportation Research Board Annual Meeting 2018 Paper #18-03597

TRIS, TRB, ATRI

Jan 8 2018 10:53AM