Journal
PERVASIVE AND MOBILE COMPUTING
Volume 6, Issue 4, Pages 455-466Publisher
ELSEVIER
DOI: 10.1016/j.pmcj.2010.07.002
Keywords
Mobility pattern; Community bicycle program; Urban behavior
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This paper provides an analysis of human mobility data in an urban area using the amount of available bikes in the stations of the community bicycle program Bicing in Barcelona. Based on data sampled from the operator's website, it is possible to detect temporal and geographic mobility patterns within the city. These patterns are applied to predict the number of available bikes for any station some minutes/hours ahead. The predictions could be used to improve the bicycle program and the information given to the users via the Bicing website. (C) 2010 Elsevier B.V. All rights reserved.
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