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

Author

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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)

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.

Suggested Citation

  • Judicaël Picaut & Ayoub Boumchich & Erwan Bocher & Nicolas Fortin & Gwendall Petit & Pierre Aumond, 2021. "A Smartphone-Based Crowd-Sourced Database for Environmental Noise Assessment," IJERPH, MDPI, vol. 18(15), pages 1-41, July.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:7777-:d:599343
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    References listed on IDEAS

    as
    1. Giovanni Brambilla & Francesca Pedrielli, 2020. "Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    2. Zahra Nourmohammadi & Tanapon Lilasathapornkit & Mudabber Ashfaq & Ziyuan Gu & Meead Saberi, 2021. "Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

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