Quantifying crowd size with mobile phone and Twitter data

Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people...

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Detalles Bibliográficos
Autores principales: Botta, Federico, Moat, Helen Susannah, Preis, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society Publishing 2015
Materias:
Biology (Whole Organism)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453255/
https://www.ncbi.nlm.nih.gov/pubmed/26064667
http://dx.doi.org/10.1098/rsos.150162
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author Botta, Federico
Moat, Helen Susannah
Preis, Tobias
author_facet Botta, Federico
Moat, Helen Susannah
Preis, Tobias
author_sort Botta, Federico
collection PubMed
description Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people in restricted areas and activity recorded by mobile phone providers and the online service Twitter. Our findings suggest that data generated through our interactions with mobile phone networks and the Internet may allow us to gain valuable measurements of the current state of society.
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spelling pubmed-44532552015-06-10 Quantifying crowd size with mobile phone and Twitter data Botta, Federico Moat, Helen Susannah Preis, Tobias R Soc Open Sci Biology (Whole Organism) Being able to infer the number of people in a specific area is of extreme importance for the avoidance of crowd disasters and to facilitate emergency evacuations. Here, using a football stadium and an airport as case studies, we present evidence of a strong relationship between the number of people in restricted areas and activity recorded by mobile phone providers and the online service Twitter. Our findings suggest that data generated through our interactions with mobile phone networks and the Internet may allow us to gain valuable measurements of the current state of society. The Royal Society Publishing 2015-05-27 /pmc/articles/PMC4453255/ /pubmed/26064667 http://dx.doi.org/10.1098/rsos.150162 Text en http://creativecommons.org/licenses/by/4.0/ © 2015 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 Biology (Whole Organism)
Botta, Federico
Moat, Helen Susannah
Preis, Tobias
Quantifying crowd size with mobile phone and Twitter data
title Quantifying crowd size with mobile phone and Twitter data
title_full Quantifying crowd size with mobile phone and Twitter data
title_fullStr Quantifying crowd size with mobile phone and Twitter data
title_full_unstemmed Quantifying crowd size with mobile phone and Twitter data
title_short Quantifying crowd size with mobile phone and Twitter data
title_sort quantifying crowd size with mobile phone and twitter data
topic Biology (Whole Organism)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4453255/
https://www.ncbi.nlm.nih.gov/pubmed/26064667
http://dx.doi.org/10.1098/rsos.150162
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