Talks and Poster Presentations (with Proceedings-Entry):

C. Rudloff, B. Lackner:
"Modeling Demand for Bicycle Sharing Systems - Neighboring Stations as a Source for Demand and a Reason for Structural Breaks";
Talk: 93rd Annual Meeting of the Transportation Research Board., Washington DC; 01-11-2014 - 01-16-2014; in: "2014 Annual Meeting Compendium of Papers", TRB (ed.); TRB, 14-0678 (2014).



English abstract:
Bicycle sharing systems (BSS) are becoming ever more popular all over the world. One of the remaining problems is that the distribution of rides between stations is not uniformly distributed
and certain stations fill up or empty over time. These empty and full stations lead to demand for bikes and return boxes that cannot be fulfilled leading to unsatisfied and possibly even lost
customers. To avoid this situation, bikes in the systems are redistributed by the provider. While redistribution of bikes in such systems is well studied, the underlying demand is not yet modeled
to serve as an input to improve the redistribution. This gap is closed in this paper. We model demand for bikes and return boxes using data from the BSS Citybike Wien in Vienna, Austria. In
particular, the influence of weather and full/empty neighboring stations on demand is studied using different count models. Furthermore, we show that forecasts from our model improve the
forecast using historic demands. Lastly, the influence of new stations on the model parameters of a station and resulting structural breaks in the model are discussed.

Created from the Publication Database of the AIT Austrian Institute of Technology.