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Urban soundscape maps modelled with geo-referenced data / Catherine Lavandier in Noise mapping, vol 3 n° 1 (October 2016)    

Public [article]  inNoise mapping > vol 3 n° 1 (October 2016) . - pp 278 - 294 Titre : Urban soundscape maps modelled with geo-referenced data Type de document : Article/Communication Auteurs : Catherine Lavandier, Auteur ; Pierre Aumond, Auteur ; Saul Gomez , Auteur ; Catherine Dominguès , Auteur Année de publication : 2016 Article en page(s) : pp 278 - 294 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] analyse comparative [Termes IGN] bruit (audition) [Termes IGN] cartographie du bruit [Termes IGN] données localisées [Termes IGN] modèle numérique [Termes IGN] Paris (75) [Termes IGN] perception [Termes IGN] qualité cartographique [Termes IGN] visualisation cartographique [Termes IGN] zone urbaine [Vedettes matières IGN] Géovisualisation Résumé : (Auteur) The noise maps that are currently proposed as part of the EU Directive are based on the calculation of the Lday, Levening and Lnight. These levels are calculated from emission and propagation models that are expensive in time. These noise maps are criticized for being distant from the perception of city users. Thus, calculation models of sound quality have been proposed, for being closer to city users’ perception. They are either based on perceptual variables, or on acoustic measurements, or on georeferenced data, the latter being often already integrated into the Geographic Information Systems of most French metropolises. Considering 89 Parisian situations, this article proposes to compare the sound quality really perceived, with those from models using geo-referenced data. It also looks at the modeling of perceptual variables that influence the sound quality, such as perceived loudness, the perceived time ratio of traffic, voices and birds. To do this, such geo-referenced data as road traffic, the presence of gardens, food shops, restaurants, bars, schools, markets, are transformed into core densities. Being quick and easy to calculate, these densities predict effectively sound quality in the urban public space. Visualization of urban soundscape maps are proposed in this paper. Numéro de notice : A2016--115 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1515/noise-2016-0020 Date de publication en ligne : 28/10/2016 En ligne : https://doi.org/10.1515/noise-2016-0020 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84758 [article]

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