Analysis of bike sharing system by clustering: the Vélib’ case

Yun‐Long Feng · Roberta Costa Affonso · Marc Zolghadri

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Urban Transport and Accessibility Transportation and Mobility Innovations Smart Parking Systems Research

Abstract

Bicycle sharing system has become more and more popular as it can help partly solve the problems such as CO2 over-emission and traffic congestion. Some systems have been operated for several years and the analysis work is very necessary for controlling and redesigning the system in purpose of getting better performances. In this paper we analyze the bike-sharing stations by clustering algorithms in order to mine the inner-station patterns, and these clustering results are essential for the system control and redesign. In this study, we take Vélib’ bike sharing system in Paris as the study case.

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References

2011Understanding Bike-Sharing Systems using Data Mining: Exploring Activity Patterns 2014Spatio-temporal patterns of a Public Bicycle Sharing Program: the effect of weather and calendar events 2011SHARED BICYCLES IN A CITY: A SIGNAL PROCESSING AND DATA ANALYSIS PERSPECTIVE 2014From bicycle sharing system movements to users: a typology of Vélo’v cyclists in Lyon based on large-scale behavioural dataset 2012Mean field analysis for inhomogeneous bike sharing systems 2015Comparing cities’ cycling patterns using online shared bicycle maps

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