A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment

Judicaël Picaut, Ayoub Boumchich, Erwan Bocher, Nicolas Fortin, Gwendall Petit and Pierre Aumond
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Judicaël Picaut: Centre for Studies on Risks, The Environment, Mobility and Urban Planning (CEREMA), Research Unit in Environmental Acoustics (UMRAE), French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), University Gustave Eiffel, F-44344 Bouguenais, France
Ayoub Boumchich: Centre for Studies on Risks, The Environment, Mobility and Urban Planning (CEREMA), Research Unit in Environmental Acoustics (UMRAE), French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), University Gustave Eiffel, F-44344 Bouguenais, France
Erwan Bocher: Lab-STICC CNRS UMR 6285, IUT de Vannes, 8 Rue Montaigne, BP 561, CEDEX, F-56017 Vannes, France
Nicolas Fortin: Centre for Studies on Risks, The Environment, Mobility and Urban Planning (CEREMA), Research Unit in Environmental Acoustics (UMRAE), French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), University Gustave Eiffel, F-44344 Bouguenais, France
Gwendall Petit: Lab-STICC CNRS UMR 6285, IUT de Vannes, 8 Rue Montaigne, BP 561, CEDEX, F-56017 Vannes, France
Pierre Aumond: Centre for Studies on Risks, The Environment, Mobility and Urban Planning (CEREMA), Research Unit in Environmental Acoustics (UMRAE), French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR), University Gustave Eiffel, F-44344 Bouguenais, France

IJERPH, 2021, vol. 18, issue 15, 1-41

Abstract: Noise is a major source of pollution with a strong impact on health. Noise assessment is therefore a very important issue to reduce its impact on humans. To overcome the limitations of the classical method of noise assessment (such as simulation tools or noise observatories), alternative approaches have been developed, among which is collaborative noise measurement via a smartphone. Following this approach, the NoiseCapture application was proposed, in an open science framework, providing free access to a considerable amount of information and offering interesting perspectives of spatial and temporal noise analysis for the scientific community. After more than 3 years of operation, the amount of collected data is considerable. Its exploitation for a sound environment analysis, however, requires one to consider the intrinsic limits of each collected information, defined, for example, by the very nature of the data, the measurement protocol, the technical performance of the smartphone, the absence of calibration, the presence of anomalies in the collected data, etc. The purpose of this article is thus to provide enough information, in terms of quality, consistency, and completeness of the data, so that everyone can exploit the database, in full control.

Keywords: environmental noise; crowd-sourcing; smartphone application; data analysis (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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