Chapter

Computational Logistics

Volume 6971 of the series Lecture Notes in Computer Science pp 127-141

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

  • Patrick VogelAffiliated withLancaster UniversityDecision Support Group, University of Braunschweig
  • , Dirk C. MattfeldAffiliated withLancaster UniversityDecision Support Group, University of Braunschweig

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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.