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Open AccessArticle

Mapping the Sound Environment of Andorra and Escaldes-Engordany by Means of a 3D City Model Platform

1
Grup de recerca en Tecnologies Mèdia (GTM), La Salle-Universitat Ramon Llull C/Quatre Camins, 30, 08022 Barcelona, Spain
2
Observatori de la Sostenibilitat d’Andorra (OBSA), AD600 Sant Julià de Lòria, Andorra
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Andorra Innovation Hub, Actua Innovació, AD700 Escaldes-Engordany, Andorra
*
Author to whom correspondence should be addressed.
Urban Sci. 2019, 3(3), 89; https://doi.org/10.3390/urbansci3030089
Received: 7 July 2019 / Revised: 5 August 2019 / Accepted: 6 August 2019 / Published: 9 August 2019
(This article belongs to the Special Issue Urban Acoustic Environments)
In the new paradigm of the smart cities world, public opinion is one of the most important issues in the new conception of urban space and its corresponding regulations. The data collection in terms of environmental noise cannot only be related to the value of the equivalent noise level L A e q of the places of interest. According to WHO reports, the different types of noise (traffic, anthropomorphic, industrial, and others) have different effects on citizens; the focus of this study is to use the identification of noise sources and their single impacts on background urban noise to develop a visualization tool that can represent all this information in real time. This work used a 3D model platform to visualize the acoustic measurements recorded at three strategic positions over the country by means of a sound map. This was a pilot project in terms of noise source identification. The visualization method presented in this work supports the understanding of the data collected and helps the space-time interpretation of the events. In the study of soundscape, it is essential not only to have the information of the events that have occurred, but also to have the relations established between them and their location. The platform visualizes the measured noise and differentiates four types of noise, the equivalent acoustic level measured and the salience of the event with respect to background noise by means of the calculation of SNR (Signal-to-Noise), providing better data both in terms of quantity and quality and allowing policy-makers to make better-informed decisions on how to minimize the impact of environmental noise on people. View Full-Text
Keywords: acoustic source; sound mapping; smart city; 3D model platform; acoustic monitoring; LAeq; SNR acoustic source; sound mapping; smart city; 3D model platform; acoustic monitoring; LAeq; SNR
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Alsina-Pagès, R.M.; Vilella, M.; Pons, M.; Garcia Almazan, R. Mapping the Sound Environment of Andorra and Escaldes-Engordany by Means of a 3D City Model Platform. Urban Sci. 2019, 3, 89.

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