Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10609/150752

Título :	Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system
Autoría:	Kaltenbrunner, Andreas Meza, Rodrigo Grivolla, Jens Codina, Joan Banchs, Rafael
Citación :	Kaltenbrunner, A. [Andreas], Meza, R. [Rodrigo], Grivolla, J. [Jens], Codina, J. [Joan], & Banchs, R. [Rafael] (2010). Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system. Pervasive and Mobile Computing, 6(4), 455-466.
Resumen :	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.
Palabras clave :	mobility pattern community bicycle program urban behavior
DOI:	https://doi.org/10.1016/j.pmcj.2010.07.002
Tipo de documento:	info:eu-repo/semantics/article
Versión del documento:	info:eu-repo/semantics/acceptedVersion
Fecha de publicación :	2-ago-2010
Licencia de publicación:	http://creativecommons.org/licenses/by-nc-nd/4.0/es/
Aparece en las colecciones:	Articles cientÍfics Articles