SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE
Pierre Borgnat (),
Patrice Abry (),
Patrick Flandrin (),
Céline Robardet (),
Jean-Baptiste Rouquier () and
Eric Fleury ()
Additional contact information
Pierre Borgnat: CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France
Patrice Abry: CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France
Patrick Flandrin: CNRS, Laboratoire de Physique (UMR 5672 CNRS), École Normale Supérieure de Lyon, Université de Lyon, 46 allée d'Italie, 69364 Lyon Cedex 07, France
Céline Robardet: Université de Lyon, INSA-Lyon, CNRS, LIRIS (UMR CNRS 5205), Batiment Blaise Pascal 69621 Villeurbanne Cedex, France
Jean-Baptiste Rouquier: LIP (UMR CNRS INRIA 5668) and IXXI, (Institut des Systèmes Complexes) of École Normale Supérieure de Lyon, Université de Lyon; 46 allée d'Italie, 69364 Lyon Cedex 07, France
Eric Fleury: LIP (UMR CNRS INRIA 5668) and IXXI, (Institut des Systèmes Complexes) of École Normale Supérieure de Lyon, Université de Lyon; 46 allée d'Italie, 69364 Lyon Cedex 07, France
Advances in Complex Systems (ACS), 2011, vol. 14, issue 03, 415-438
Abstract:
Community shared bicycle systems, such as the Vélo'v program launched in Lyon in May 2005, are public transportation programs that can be studied as a complex system composed of interconnected stations that exchange bicycles. They generate digital footprints that reveal the activity in the city over time and space, making possible a quantitative analysis of movements using bicycles in the city. A careful study relying on nonstationary statistical modeling and data mining allows us to first model the time evolution of the dynamics of movements with Vélo'v, that is mostly cyclostationary over the week with nonstationary evolutions over larger time-scales, and second to disentangle the spatial patterns to understand and visualize the flows of Vélo'v bicycles in the city. This study gives insights on the social behaviors of the users of this intermodal transportation system, the objective being to help in designing and planning policy in urban transportation.
Keywords: Community bicycle sharing program; Vélov; cyclostationarity; nonstationarity; dynamic network; network community (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (21)
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:14:y:2011:i:03:n:s0219525911002950
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DOI: 10.1142/S0219525911002950
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