Investigating urban soundscapes of the COVID-19 lockdown: A predictive soundscape modeling approach.

ABSTRACT: The unprecedented lockdowns resulting from COVID-19 in spring 2020 triggered changes in human activities in public spaces. A predictive modeling approach was developed to characterize the changes in the perception of the sound environment when people could not be surveyed. Building on a database of soundscape questionnaires (N = 1,136) and binaural recordings (N = 687) collected in 13 locations across London and Venice during 2019, new recordings (N = 571) were made in the same locations during the 2020 lockdowns. Using these 30-s-long recordings, linear multilevel models were developed to predict the soundscape pleasantness ( R²=0.85) and eventfulness ( R²=0.715) during the lockdown and compare the changes for each location. The performance was above average for comp

SUBMITTER: Mitchell A 

PROVIDER: S-EPMC8730329 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature