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globalchange > 过去全球变化的重建

DOI:	10.1371/journal.pone.0128470
论文题名:	Quantifying International Travel Flows Using Flickr
作者:	Daniele Barchiesi; Helen Susannah Moat; Christian Alis; Steven Bishop; Tobias Preis
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2015
发表日期:	2015-7-6
卷:	10, 期:7
语种:	英语
英文关键词:	Behavior ; Human mobility ; Language ; Collective human behavior ; Linear regression analysis ; Cell phones ; Confidence intervals ; Geoinformatics
英文摘要:	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.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0128470&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/21905
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

Files in This Item:

File Name/ File Size	Content Type	Version	Access	License
journal.pone.0128470.PDF（1319KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Mathematics, University College London, London, United Kingdom;Warwick Business School, University of Warwick, Coventry, United Kingdom;Department of Mathematics, University College London, London, United Kingdom;Department of Mathematics, University College London, London, United Kingdom;Warwick Business School, University of Warwick, Coventry, United Kingdom

Recommended Citation:

Daniele Barchiesi,Helen Susannah Moat,Christian Alis,et al. Quantifying International Travel Flows Using Flickr[J]. PLOS ONE,2015-01-01,10(7)

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