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Models for Fare Planning in Public Transport

Please always quote using this URN:urn:nbn:de:0296-matheon-6256
  • 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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Metadaten
Author:Ralf Borndörfer, Marika Neumann, Marc E. Pfetsch
URN:urn:nbn:de:0296-matheon-6256
Referee:Martin Grötschel
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2009/07/21
Release Date:2009/07/21
Tag:
Institute:Technische Universität Berlin
Zuse Institute Berlin (ZIB)
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
Preprint Number:615
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