Quantifying International Travel Flows Using Flickr

被引:39
|
作者
Barchiesi, Daniele [1 ]
Moat, Helen Susannah [2 ]
Alis, Christian [1 ]
Bishop, Steven [1 ]
Preis, Tobias [2 ]
机构
[1] UCL, Dept Math, London, England
[2] Univ Warwick, Warwick Business Sch, Coventry CV4 7AL, W Midlands, England
来源
PLOS ONE | 2015年 / 10卷 / 07期
基金
英国工程与自然科学研究理事会;
关键词
BEHAVIOR; NETWORK;
D O I
10.1371/journal.pone.0128470
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页数:8
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