Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6936695 | Transportation Research Part C: Emerging Technologies | 2015 | 18 Pages |
Abstract
Influences on demand can be either short-term or long-term. The paper shows that changes in the weather conditions are a short-term influence as users of free-floating carsharing react to those. Furthermore, the application of a linear regression analysis reveals that socio-demographic data are suitable for making long-term demand predictions since booking numbers show quite a strong correlation with socio-demography, even in a simple model.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Stefan Schmöller, Simone Weikl, Johannes Müller, Klaus Bogenberger,