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