Demand Modelling as a Basis for Optimising the Redistribution of Bikes in the Vienna Bicycle Sharing System

Description

To optimise redistribution of bicycles in a bike-sharing system it is necessary to understand the inherent demand for bikes and free spaces to return bikes. Different count models and model selection procedures showed that negative binomial models give the best fit for the three years of data from the Viennese bike-sharing system. The model fit can be further improved by including variables showing for each time step if the three closest neighbouring stations are full or empty. We outline how this model can be exploited for redistributing bikes such that all user demands can be fulfilled.

Period	1 Jul 2013 → 4 Jul 2013
Event title	22. EURO
Event type	Other
Degree of Recognition	International