eprintid: 1503665
rev_number: 22
eprint_status: archive
userid: 608
dir: disk0/01/50/36/65
datestamp: 2017-01-16 15:41:32
lastmod: 2021-12-13 03:13:15
status_changed: 2017-01-16 15:41:32
type: article
metadata_visibility: show
creators_name: Barchiesi, D
creators_name: Preis, T
creators_name: Bishop, S
creators_name: Moat, HS
title: Modelling human mobility patterns using photographic data shared online
ispublished: pub
divisions: UCL
divisions: B04
divisions: C06
divisions: F59
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
note: 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.
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.
date: 2015-08
date_type: published
publisher: ROYAL SOC
official_url: http://dx.doi.org/10.1098/rsos.150046
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1048606
doi: 10.1098/rsos.150046
lyricists_name: Bishop, Steven
lyricists_id: SRBIS03
actors_name: Bracey, Alan
actors_id: ABBRA90
actors_role: owner
full_text_status: public
publication: Royal Society Open Science
volume: 2
number: 8
pages: 8
issn: 2054-5703
citation:        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 <https://doi.org/10.1098/rsos.150046>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1503665/1/150046.full.pdf