From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset

•Lyon’s BSS users are categorised on the basis of their actual bike movements and personal characteristics.•Social organisation of Vélo’v as part of transport system explains many of its usages.•Gender determines use intensity and not use patterns.•User typology reveals both contrasted and diverse g...

Full description

Saved in:
Bibliographic Details
Published in:Journal of transport geography 2014-12, Vol.41, p.280-291
Main Authors: Vogel, Marie, Hamon, Ronan, Lozenguez, Guillaume, Merchez, Luc, Abry, Patrice, Barnier, Julien, Borgnat, Pierre, Flandrin, Patrick, Mallon, Isabelle, Robardet, Céline
Format: Article
Language:English
Subjects:
Behavioural
Bicycle-sharing systems
Bicycles
Computer Science
Cyclist typology
Geography
Lyon
Movements
Pro-cycling strategies
Temporal logic
Transport
Urban mobility
Vélo’v in Lyon
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•Lyon’s BSS users are categorised on the basis of their actual bike movements and personal characteristics.•Social organisation of Vélo’v as part of transport system explains many of its usages.•Gender determines use intensity and not use patterns.•User typology reveals both contrasted and diverse groups.•Space is not a significant determination in the constructed groups. Vélo’v have been available in Lyon, France, since 2005, and are one of the first major public bicycle sharing systems (BSS) implemented in Europe. With up to 7million trips in 2013 and around 50,000 annual users plus occasional users, Vélo’v have increased bicycle use in the city by 50%. Analysing a database gathering both bicycle movement and user data for the calendar year 2011 provided by the operator, we concentrate our analysis on Vélo’v users. We characterise user mobilities and produce a user typology based on cluster analysis, relying on intensity and on annual and weekly temporal patterns. The proposed analysis, which creates user profiles from patterns, contributes to a close-reading of the interplay between BSS and other transports as well as to an improved understanding of conditions leading to a wider use of bicycles in cities.
ISSN:0966-6923
1873-1236
DOI:10.1016/j.jtrangeo.2014.07.005