Abstract
Aircraft noise contours are an essential tool for land-use planning around aerodromes. They are intended as predictors of the effects of aircraft noise on communities, mainly in terms of aircraft noise annoyance. In practicality, these contours often fail to encompass a large percentage of the severely annoyed population at the prescribed noise thresholds for the onset of significant annoyance. This paper proposes a novel approach to modelling noise exposure contours that can improve their predictive power. Using Toronto Pearson Airport as a case study, data from a 2020 noise annoyance questionnaire and calculated noise levels from 25 noise monitoring terminals were used to examine the relationships between severe annoyance and noise exposure for six different airport operational scenarios, representative of both average and alternate traffic configurations. The findings indicate that a composite scenario that models noise exposure for both average and alternate traffic configurations is more predictive of severe annoyance than an average type scenario alone.
Published Version
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