Models for fare planning in public transport

  • Authors:
  • Ralf BorndöRfer;Marika Karbstein;Marc E. Pfetsch

  • Affiliations:
  • Zuse Institute Berlin, Takustr. 7, 14195 Berlin, Germany;Zuse Institute Berlin, Takustr. 7, 14195 Berlin, Germany;Institute for Mathematical Optimization, Technische Universität Braunschweig, Pockelsstraíe 14, 38106 Braunschweig, Germany

  • Venue:
  • Discrete Applied Mathematics
  • Year:
  • 2012

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Abstract

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 nonlinear 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.