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Chatty maps: constructing sound maps of urban areas from social media data

Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captur...

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Detalles Bibliográficos
Autores principales: Aiello, Luca Maria, Schifanella, Rossano, Quercia, Daniele, Aletta, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821272/
https://www.ncbi.nlm.nih.gov/pubmed/27069661
http://dx.doi.org/10.1098/rsos.150690
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author Aiello, Luca Maria
Schifanella, Rossano
Quercia, Daniele
Aletta, Francesco
author_facet Aiello, Luca Maria
Schifanella, Rossano
Quercia, Daniele
Aletta, Francesco
author_sort Aiello, Luca Maria
collection PubMed
description Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captured at city scale. To capture both unpleasant and pleasant sounds, we applied a new methodology that relies on tagging information of georeferenced pictures to the cities of London and Barcelona. To begin with, we compiled the first urban sound dictionary and compared it with the one produced by collating insights from the literature: ours was experimentally more valid (if correlated with official noise pollution levels) and offered a wider geographical coverage. From picture tags, we then studied the relationship between soundscapes and emotions. We learned that streets with music sounds were associated with strong emotions of joy or sadness, whereas those with human sounds were associated with joy or surprise. Finally, we studied the relationship between soundscapes and people's perceptions and, in so doing, we were able to map which areas are chaotic, monotonous, calm and exciting. Those insights promise to inform the creation of restorative experiences in our increasingly urbanized world.
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spelling pubmed-48212722016-04-11 Chatty maps: constructing sound maps of urban areas from social media data Aiello, Luca Maria Schifanella, Rossano Quercia, Daniele Aletta, Francesco R Soc Open Sci Computer Science Urban sound has a huge influence over how we perceive places. Yet, city planning is concerned mainly with noise, simply because annoying sounds come to the attention of city officials in the form of complaints, whereas general urban sounds do not come to the attention as they cannot be easily captured at city scale. To capture both unpleasant and pleasant sounds, we applied a new methodology that relies on tagging information of georeferenced pictures to the cities of London and Barcelona. To begin with, we compiled the first urban sound dictionary and compared it with the one produced by collating insights from the literature: ours was experimentally more valid (if correlated with official noise pollution levels) and offered a wider geographical coverage. From picture tags, we then studied the relationship between soundscapes and emotions. We learned that streets with music sounds were associated with strong emotions of joy or sadness, whereas those with human sounds were associated with joy or surprise. Finally, we studied the relationship between soundscapes and people's perceptions and, in so doing, we were able to map which areas are chaotic, monotonous, calm and exciting. Those insights promise to inform the creation of restorative experiences in our increasingly urbanized world. The Royal Society 2016-03-23 /pmc/articles/PMC4821272/ /pubmed/27069661 http://dx.doi.org/10.1098/rsos.150690 Text en http://creativecommons.org/licenses/by/4.0/ © 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Computer Science
Aiello, Luca Maria
Schifanella, Rossano
Quercia, Daniele
Aletta, Francesco
Chatty maps: constructing sound maps of urban areas from social media data
title Chatty maps: constructing sound maps of urban areas from social media data
title_full Chatty maps: constructing sound maps of urban areas from social media data
title_fullStr Chatty maps: constructing sound maps of urban areas from social media data
title_full_unstemmed Chatty maps: constructing sound maps of urban areas from social media data
title_short Chatty maps: constructing sound maps of urban areas from social media data
title_sort chatty maps: constructing sound maps of urban areas from social media data
topic Computer Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4821272/
https://www.ncbi.nlm.nih.gov/pubmed/27069661
http://dx.doi.org/10.1098/rsos.150690
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