Cargando…
Quantifying International Travel Flows Using Flickr
Online social media platforms are opening up new opportunities to analyse human behaviour on an unprecedented scale. In some cases, the fast, cheap measurements of human behaviour gained from these platforms may offer an alternative to gathering such measurements using traditional, time consuming an...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493158/ https://www.ncbi.nlm.nih.gov/pubmed/26147500 http://dx.doi.org/10.1371/journal.pone.0128470 |
_version_ | 1782379877677137920 |
---|---|
author | Barchiesi, Daniele Moat, Helen Susannah Alis, Christian Bishop, Steven Preis, Tobias |
author_facet | Barchiesi, Daniele Moat, Helen Susannah Alis, Christian Bishop, Steven Preis, Tobias |
author_sort | Barchiesi, Daniele |
collection | PubMed |
description | Online social media platforms are opening up new opportunities to analyse human behaviour on an unprecedented scale. In some cases, the fast, cheap measurements of human behaviour gained from these platforms may offer an alternative to gathering such measurements using traditional, time consuming and expensive surveys. Here, we use geotagged photographs uploaded to the photo-sharing website Flickr to quantify international travel flows, by extracting the location of users and inferring trajectories to track their movement across time. We find that Flickr based estimates of the number of visitors to the United Kingdom significantly correlate with the official estimates released by the UK Office for National Statistics, for 28 countries for which official estimates are calculated. Our findings underline the potential for indicators of key aspects of human behaviour, such as mobility, to be generated from data attached to the vast volumes of photographs posted online. |
format | Online Article Text |
id | pubmed-4493158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44931582015-07-15 Quantifying International Travel Flows Using Flickr Barchiesi, Daniele Moat, Helen Susannah Alis, Christian Bishop, Steven Preis, Tobias PLoS One Research Article Online social media platforms are opening up new opportunities to analyse human behaviour on an unprecedented scale. In some cases, the fast, cheap measurements of human behaviour gained from these platforms may offer an alternative to gathering such measurements using traditional, time consuming and expensive surveys. Here, we use geotagged photographs uploaded to the photo-sharing website Flickr to quantify international travel flows, by extracting the location of users and inferring trajectories to track their movement across time. We find that Flickr based estimates of the number of visitors to the United Kingdom significantly correlate with the official estimates released by the UK Office for National Statistics, for 28 countries for which official estimates are calculated. Our findings underline the potential for indicators of key aspects of human behaviour, such as mobility, to be generated from data attached to the vast volumes of photographs posted online. Public Library of Science 2015-07-06 /pmc/articles/PMC4493158/ /pubmed/26147500 http://dx.doi.org/10.1371/journal.pone.0128470 Text en © 2015 Barchiesi et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Barchiesi, Daniele Moat, Helen Susannah Alis, Christian Bishop, Steven Preis, Tobias Quantifying International Travel Flows Using Flickr |
title | Quantifying International Travel Flows Using Flickr |
title_full | Quantifying International Travel Flows Using Flickr |
title_fullStr | Quantifying International Travel Flows Using Flickr |
title_full_unstemmed | Quantifying International Travel Flows Using Flickr |
title_short | Quantifying International Travel Flows Using Flickr |
title_sort | quantifying international travel flows using flickr |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493158/ https://www.ncbi.nlm.nih.gov/pubmed/26147500 http://dx.doi.org/10.1371/journal.pone.0128470 |
work_keys_str_mv | AT barchiesidaniele quantifyinginternationaltravelflowsusingflickr AT moathelensusannah quantifyinginternationaltravelflowsusingflickr AT alischristian quantifyinginternationaltravelflowsusingflickr AT bishopsteven quantifyinginternationaltravelflowsusingflickr AT preistobias quantifyinginternationaltravelflowsusingflickr |