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Smartphone-Based Participatory Soundscape Mapping for a More Sustainable Acoustic Environment

Author

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  • Giovanni Brambilla

    (Department of Acoustics and Sensors “O.M. Corbino”, Institute of Marine Engineering (INM), National Research Council of Italy (CNR), I-00133 Rome, Italy)

  • Francesca Pedrielli

    (Institute for Agricultural and Earthmoving Machines (IMAMOTER), National Research Council of Italy (CNR), I-44124 Ferrara, Italy)

Abstract

The urban environmental planning, a fundamental dynamic process for cities’ sustainability, could benefit from the soundscape approach, dealing with the perception of the acoustic environment in which sound is considered as a resource rather than a waste (noise). Noise and soundscape maps are useful tools for planning mitigation actions and for communication with citizens. Both mappings can benefit from crowdsourcing and participatory sound monitoring that has been made possible due to the large use of internet connections and mobile devices with dedicated apps. This paper is a “scoping review” to provide an overview of the potential, benefits, and drawbacks of participatory noise monitoring in noise and soundscape mapping applications, while also referring to metrological aspects. Gathering perceptual data on soundscapes by using digital questionnaires will likely be more commonly used than printed questionnaires; thus, the main differences between the experimental protocols concern the measurement of acoustic data. The authors propose to classify experimental protocols for in-field soundscape surveys into three types (GUIDE, MONITOR, and SMART) to be selected according to the survey’s objectives and the territorial extension. The main future developments are expected to be related to progress in smartphone hardware and software, to the growth of social networks data analysis, as well as to the implementation of machine learning techniques.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7899-:d:418467
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    References listed on IDEAS

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    1. Eric Hand, 2010. "Citizen science: People power," Nature, Nature, vol. 466(7307), pages 685-687, August.
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    Cited by:

    1. Wei Lin & Yiming Wu, 2022. "Evaluation of the Acoustic Environment of Urban Recreational Trails," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    2. Mengyuan Qiu & Ji Sha & Sulistyo Utomo, 2020. "Listening to Forests: Comparing the Perceived Restorative Characteristics of Natural Soundscapes before and after the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(1), pages 1-20, December.
    3. Marina Eirini Stamatiadou & Iordanis Thoidis & Nikolaos Vryzas & Lazaros Vrysis & Charalampos Dimoulas, 2021. "Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling," Sustainability, MDPI, vol. 13(5), pages 1-19, March.
    4. Gabriella Graziuso & Simona Mancini & Antonella Bianca Francavilla & Michele Grimaldi & Claudio Guarnaccia, 2021. "Geo-Crowdsourced Sound Level Data in Support of the Community Facilities Planning. A Methodological Proposal," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    5. 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.

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