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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Vogel, P., & Mattfeld, D. C. (2011). Strategic and operational planning of bike-sharing systems by data mining - A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6971 LNCS, pp. 127–141). https://doi.org/10.1007/978-3-642-24264-9_10
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
