Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study

  • Patrick Vogel
  • Dirk C. Mattfeld
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6971)


Bike-sharing is a new form of sustainable urban public mobility. A common issue observed in bike-sharing systems is imbalances in the distribution of bikes. There are two logistical measures alleviating imbalances: strategic network design and operational repositioning of bikes. IT-systems record data from Bike Sharing Systems (BSS) operation that are suitable for supporting these logistical tasks. A case study shows how Data Mining applied to operational data offers insight into typical usage patterns of bike-sharing systems and is used to forecast bike demand with the aim of supporting and improving strategic and operational planning.


Time Series Analysis Time Series Model Operational Planning Return Activity Weather Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Patrick Vogel
    • 1
  • Dirk C. Mattfeld
    • 1
  1. 1.Decision Support GroupUniversity of BraunschweigBraunschweigGermany

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