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

  • Patrick Vogel
  • Dirk C. Mattfeld
Conference paper

DOI: 10.1007/978-3-642-24264-9_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6971)
Cite this paper as:
Vogel P., Mattfeld D.C. (2011) Strategic and Operational Planning of Bike-Sharing Systems by Data Mining – A Case Study. In: Böse J.W., Hu H., Jahn C., Shi X., Stahlbock R., Voß S. (eds) Computational Logistics. ICCL 2011. Lecture Notes in Computer Science, vol 6971. Springer, Berlin, Heidelberg

Abstract

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.

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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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