An open-science crowdsourcing approach for producing community noise maps using smartphones

Judicaël Picaut 1 Nicolas Fortin 1 Erwan Bocher 2 Gwendall Petit 3 Pierre Aumond 1 Gwenaël Guillaume 1
2 Lab-STICC_CNRS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_UBS_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : An alternative method is proposed for the assessment of the noise environment, on the basis of a crowdsourcing approach. For this purpose, a smartphone application and a spatial data infrastructure have been specifically developed in order to collect physical data (noise indicators, GPS positions, etc.) and perceptual data (pleasantness), without territorial limits, of the sound environment. As the project is developed within an Open Science framework, all source codes, methodologies, tools and raw data are freely available, and if necessary, can be duplicated for any specific use. In particular, the collected data can be used by the scientific community, cities, associations, or any institution, which would like to develop new tools for the evaluation and representation of sound environments. In this paper, all the methodological and technical issues are detailed, and a first analysis of the collected data is proposed.
Type de document :
Article dans une revue
Building and Environment, Elsevier, 2019, 148, pp.20 - 33. 〈10.1016/j.buildenv.2018.10.049〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01916746
Contributeur : Gwendall Petit <>
Soumis le : jeudi 8 novembre 2018 - 17:04:57
Dernière modification le : lundi 25 février 2019 - 15:14:16

Licence


Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

Lien texte intégral

Identifiants

Citation

Judicaël Picaut, Nicolas Fortin, Erwan Bocher, Gwendall Petit, Pierre Aumond, et al.. An open-science crowdsourcing approach for producing community noise maps using smartphones. Building and Environment, Elsevier, 2019, 148, pp.20 - 33. 〈10.1016/j.buildenv.2018.10.049〉. 〈hal-01916746〉

Partager

Métriques

Consultations de la notice

70