Do we need different aircraft noise metrics to predict annoyance for different groups of people?
* Presenting author
In the literature, LAeq and Lden are the dominating noise exposure metrics for calculating the relationship between noise and annoyance. However, alternative metrics such as the number of events above a threshold (NAT), LAmax or Emergence are rarely considered, although they may have the potential to explain additional variance. This seems necessary because the average relationship between aircraft noise levels and annoyance raw scores is .44 (Guski et al., 2017) which represents an explained variance of only 19.36% (R² = .1936). Here, we present a post hoc analysis of the NORAH data set (Klatte et al., 2016) and aim to evaluate the adequacy of alternative noise metrics. We calculated multilevel analyses with robust estimation algorithms (MLR) and using different noise metrics (LAeq, LAmax, Emergence, NAT). The analyses were carried out for different groups of people (children, parents, teachers) and different contexts (school: workplace or learning environment, residential environment). The calculations with the NAT60 criterion showed an increase of explained variance (R²) in people‘s annoyance. The effect was robust for different contexts and groups of people.