Barchiesi, D;
Preis, T;
Bishop, S;
Moat, HS;
(2015)
Modelling human mobility patterns using photographic data shared online.
Royal Society Open Science
, 2
(8)
10.1098/rsos.150046.
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Abstract
Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to the Flickr photo-sharing website. Inspired by the theory of Lévy flights, which has previously been used to describe the statistical properties of human mobility, we design a machine learning algorithm to infer the probability of finding people in geographical locations and the probability of movement between pairs of locations. Our findings are in general agreement with official figures in the UK and on travel flows between pairs of major cities, suggesting that online data sources may be used to quantify and model large-scale human mobility patterns.
| Type: | Article |
|---|---|
| Title: | Modelling human mobility patterns using photographic data shared online |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1098/rsos.150046 |
| Publisher version: | http://dx.doi.org/10.1098/rsos.150046 |
| Language: | English |
| Additional information: | Copyright © 2015 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
| Keywords: | science & technology, multidisciplinary sciences, computational social science, data science, social media, Flickr, human mobility, complex systems, stock-market moves, levy flights, behavior, world, laws |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1503665 |
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