Models for Fare Planning in Public Transport
Please always quote using this URN: urn:nbn:de:0297-zib-10708
- The optimization of fare systems in public transit allows to pursue objectives such as the maximization of demand, revenue, profit, or social welfare. We propose a non-linear optimization approach to fare planning that is based on a detailed discrete choice model of user behavior. The approach allows to analyze different fare structures, optimization objectives, and operational scenarios involving, e.g., subsidies. We use the resulting models to compute optimized fare systems for the city of Potsdam, Germany.
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| Author: | Ralf BorndörferORCiD, Marika Neumann, Marc PfetschORCiD |
|---|---|
| Document Type: | ZIB-Report |
| Tag: | Nachfragefunktion; Nahverkehr; Optimierung; Preisplanung |
| MSC-Classification: | 90-XX OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING / 90Bxx Operations research and management science / 90B20 Traffic problems |
| 91-XX GAME THEORY, ECONOMICS, SOCIAL AND BEHAVIORAL SCIENCES / 91Bxx Mathematical economics (For econometrics, see 62P20) / 91B74 Models of real-world systems | |
| Date of first Publication: | 2008/03/25 |
| Series (Serial Number): | ZIB-Report (08-16) |
| ISSN: | 1438-0064 |
| ZIB-Reportnumber: | 08-16 |
| Published in: | A rev. vers. appeared in: Discrete Applied Mathematics Volume 160, Issue 18, December 2012, Pages 2591–2605 |
| DOI: | https://doi.org/10.1016/j.dam.2012.02.027 |
