eprintid: 10074732
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/10/07/47/32
datestamp: 2019-05-28 13:18:06
lastmod: 2021-09-26 22:43:56
status_changed: 2019-05-28 13:18:06
type: article
metadata_visibility: show
creators_name: Sun, K
creators_name: De Coensel, B
creators_name: Filipan, K
creators_name: Aletta, F
creators_name: Van Renterghem, T
creators_name: De Pessemier, T
creators_name: Joseph, W
creators_name: Botteldooren, D
title: Classification of soundscapes of urban public open spaces
ispublished: pub
divisions: UCL
divisions: B04
divisions: C04
divisions: F34
keywords: Soundscape, Classification, Urban space
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: It is increasingly acknowledged by landscape architects and urban planners that the soundscape contributes significantly to the perception of urban public open spaces. Describing and classifying this impact, however, remains a challenge. This article presents a hierarchical method for classification that distinguishes between backgrounded and foregrounded, disruptive and supportive, and finally calming and stimulating soundscapes. This four-class classification is applied to a growing collection of immersive audio-visual recordings of sound environments from around the world that could be explored using virtual reality playback. To validate the proposed methodology, an experiment involving 40 participants and 50 soundscape stimuli collected in urban public open spaces worldwide was conducted. The experiment showed that (1) the virtual reality headset reproduction based on affordable spatial audio with 360-degree video recordings was perceived as ecologically valid in terms of realism and immersion; (2) the proposed classification method results in well-separated classes; (3) membership to these classes could be explained by physical parameters, both regarding sound and vision. Moreover, models based on a limited number of acoustical indicators were constructed that could correctly classify a soundscape in each of the four proposed categories, with an accuracy exceeding 88% on an independent dataset.
date: 2019-09
date_type: published
official_url: https://doi.org/10.1016/j.landurbplan.2019.04.016
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1654644
doi: 10.1016/j.landurbplan.2019.04.016
lyricists_name: Aletta, Francesco
lyricists_id: FALET55
actors_name: Aletta, Francesco
actors_id: FALET55
actors_role: owner
full_text_status: public
publication: Landscape and Urban Planning
volume: 189
pagerange: 139-155
issn: 0169-2046
citation:        Sun, K;    De Coensel, B;    Filipan, K;    Aletta, F;    Van Renterghem, T;    De Pessemier, T;    Joseph, W;           Sun, K;  De Coensel, B;  Filipan, K;  Aletta, F;  Van Renterghem, T;  De Pessemier, T;  Joseph, W;  Botteldooren, D;   - view fewer <#>    (2019)    Classification of soundscapes of urban public open spaces.                   Landscape and Urban Planning , 189    pp. 139-155.    10.1016/j.landurbplan.2019.04.016 <https://doi.org/10.1016/j.landurbplan.2019.04.016>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10074732/1/accepted.pdf