Results from The Quiet Project - UK Acoustic Community's response to Covid-19

Conference paper

Kowalik, H., Dance, S. and McInyre, L. (2023). Results from The Quiet Project - UK Acoustic Community's response to Covid-19. Inter-Noise 2022. Glasgow 21 - 24 Aug 2022 Institute of Noise Control Engineering (INCE). https://doi.org/10.3397/in_2022_0392
AuthorsKowalik, H., Dance, S. and McInyre, L.
TypeConference paper
AbstractThe COVID-19 Lockdown created a new kind of environment both in the UK and globally, never experienced before or likely to occur again. A vital and time-critical working group was formed with the aim of gathering crowd-source high quality baseline noise levels and other supporting information across the UK during the lockdown and subsequent recovery period. The acoustic community were mobilised through existing networks (UK Acoustics Network, Association of Noise Consultants, and Institute of Acoustics) engaging private companies, public organisations, and academics to gather data in accessible places. A website was designed and developed to advertise the project, provide instructions and to formalise the uploading of noise data, observations, and Soundscape feedback. The data was collected at 99 locations by 80 acousticians (64 male, 16 female) using professional grade calibrated instrumentation with 83% of measurements including spectral data. The locations were spread across the British Isles covering 19 urban, 61 suburban, and 19 rural sites. The Lockdown 1 dataset consisted of a total of 1.6 GB of measurements and material (video, photos) covering 834 days between 1st April and 14th July 2020. This makes the award winning Quiet Project the largest ever noise and soundscape database ever recorded. As a government-funded research project the databank will be made publicly available to assist future research.
Year2023
JournalINTER-NOISE and NOISE-CON Congress and Conference Proceedings
PublisherInstitute of Noise Control Engineering (INCE)
Journal citation265 (5), pp. 2801-2808
ISSN0736-2935
Digital Object Identifier (DOI)https://doi.org/10.3397/in_2022_0392
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Publication dates
Online01 Feb 2023
Print01 Feb 2023
Publication process dates
Deposited24 Feb 2023
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