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Quantifying International Travel Flows Using Flickr.

Barchiesi D, Moat HS, Alis C, Bishop S, Preis T - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics, University College London, London, United Kingdom.

ABSTRACT
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.

No MeSH data available.


Relationship between official and Flickr based estimates of visitors to the UK.We analyse geotagged photos taken and uploaded to Flickr between 2008 and 2013. We identify users based in 28 countries outside the UK, and determine the average number of Flickr users who visited the UK from each of these countries each year during this period. We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK calculated by the Office for National Statistics (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test). The solid line depicts a least-squares fit, and the shaded area represents a 95% confidence interval.
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pone.0128470.g001: Relationship between official and Flickr based estimates of visitors to the UK.We analyse geotagged photos taken and uploaded to Flickr between 2008 and 2013. We identify users based in 28 countries outside the UK, and determine the average number of Flickr users who visited the UK from each of these countries each year during this period. We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK calculated by the Office for National Statistics (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test). The solid line depicts a least-squares fit, and the shaded area represents a 95% confidence interval.

Mentions: In Fig 1, we depict the average number of Flickr users who visited the UK from another country each year between 2008 and 2013, and compare this to the average official estimate of visitors to the UK per year calculated by the Office for National Statistics, for 28 countries for which official estimates are produced (since the distribution of the number of visitors across different countries spans multiple orders of magnitude, we consider logarithmic figures hereafter). We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test).


Quantifying International Travel Flows Using Flickr.

Barchiesi D, Moat HS, Alis C, Bishop S, Preis T - PLoS ONE (2015)

Relationship between official and Flickr based estimates of visitors to the UK.We analyse geotagged photos taken and uploaded to Flickr between 2008 and 2013. We identify users based in 28 countries outside the UK, and determine the average number of Flickr users who visited the UK from each of these countries each year during this period. We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK calculated by the Office for National Statistics (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test). The solid line depicts a least-squares fit, and the shaded area represents a 95% confidence interval.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493158&req=5

pone.0128470.g001: Relationship between official and Flickr based estimates of visitors to the UK.We analyse geotagged photos taken and uploaded to Flickr between 2008 and 2013. We identify users based in 28 countries outside the UK, and determine the average number of Flickr users who visited the UK from each of these countries each year during this period. We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK calculated by the Office for National Statistics (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test). The solid line depicts a least-squares fit, and the shaded area represents a 95% confidence interval.
Mentions: In Fig 1, we depict the average number of Flickr users who visited the UK from another country each year between 2008 and 2013, and compare this to the average official estimate of visitors to the UK per year calculated by the Office for National Statistics, for 28 countries for which official estimates are produced (since the distribution of the number of visitors across different countries spans multiple orders of magnitude, we consider logarithmic figures hereafter). We find a significant correlation between the detected number of Flickr users visiting the UK and the official estimate of visitors to the UK (r = 0.86, N = 28, p < 0.001, Pearson’s correlation test).

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics, University College London, London, United Kingdom.

ABSTRACT
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.

No MeSH data available.