Quantifying International Travel Flows Using Flickr
Publication Date
July 06, 2015
Journal
PLOS ONE
Authors
Daniele Barchiesi, Helen Susannah Moat, Christian Alis, Steven Bishop, et al
Volume
10
Issue
7
Pages
e0128470
DOI
https://dx.plos.org/10.1371/journal.pone.0128470
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0128470
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/26147500
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493158
Europe PMC
http://europepmc.org/abstract/MED/26147500
Web of Science
000358157600012
Scopus
84940213148
Mendeley
http://www.mendeley.com/research/quantifying-international-travel-flows-using-flickr
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Mendeley | Further Information

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Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2165450"], "description"=>"<p>We analyse data for all 28 countries of origin depicted in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0128470#pone.0128470.g001\" target=\"_blank\">Fig 1</a>, from 2008 to 2013. (<b>A</b>) Estimates of the average number of visitors per year to the UK, generated by a regression model using the detected number of <i>Flickr</i> users visiting the UK only. (<b>B</b>) Estimates generated using five socio-economic indicators, namely whether the country of origin has English as an official language, the population of the country, the GDP per capita of the country, the distance between the largest city in the country and London, and the stringency of UK visa requirements for citizens of the country. (<b>C</b>) Estimates generated by a combined model, using both <i>Flickr</i> data and the socio-economic indicators. We find that the combined <i>Flickr</i> and socio-economic model significantly outperforms both the <i>Flickr</i> model (<i>F</i>(5,21) = 4.75, <i>p</i> < 0.005) and the socio-economic model (<i>F</i>(1,21) = 14.57, <i>p</i> < 0.005). (<b>D</b>) In the combined model, regression coefficients for <i>Flickr</i>, language and distance are significantly different from 0. Error bars indicate 95% confidence intervals.</p>", "links"=>[], "tags"=>["Quantifying International Travel Flows", "use geotagged photographs uploaded", "measurement", "Flickr", "platform", "behaviour", "official estimates", "uk"], "article_id"=>1475870, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Daniele Barchiesi", "Helen Susannah Moat", "Christian Alis", "Steven Bishop", "Tobias Preis"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0128470.g002", "stats"=>{"downloads"=>1, "page_views"=>26, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_estimates_of_the_number_of_visitors_to_the_UK_using_standard_socio_economic_indicators_and_estimates_using_Flickr_data_/1475870", "title"=>"Comparison of estimates of the number of visitors to the UK using standard socio-economic indicators, and estimates using <i>Flickr</i> data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-06 05:48:53"}
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  • {"files"=>["https://ndownloader.figshare.com/files/2165454", "https://ndownloader.figshare.com/files/2165455", "https://ndownloader.figshare.com/files/2165456", "https://ndownloader.figshare.com/files/2165457", "https://ndownloader.figshare.com/files/2165458"], "description"=>"<div><p>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 <i>Flickr</i> to quantify international travel flows, by extracting the location of users and inferring trajectories to track their movement across time. We find that <i>Flickr</i> 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.</p></div>", "links"=>[], "tags"=>["Quantifying International Travel Flows", "use geotagged photographs uploaded", "measurement", "Flickr", "platform", "behaviour", "official estimates", "uk"], "article_id"=>1475874, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Daniele Barchiesi", "Helen Susannah Moat", "Christian Alis", "Steven Bishop", "Tobias Preis"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0128470.s001", "https://dx.doi.org/10.1371/journal.pone.0128470.s002", "https://dx.doi.org/10.1371/journal.pone.0128470.s003", "https://dx.doi.org/10.1371/journal.pone.0128470.s004", "https://dx.doi.org/10.1371/journal.pone.0128470.s005"], "stats"=>{"downloads"=>4, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Quantifying_International_Travel_Flows_Using_Flickr_/1475874", "title"=>"Quantifying International Travel Flows Using Flickr", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-07-06 05:48:53"}

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Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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