| 05-20 | Ralf Borndörfer, Marika Neumann, Marc E. Pfetsch
Fare Planning for Public Transport |
Abstract: In this paper we introduce the fare planning problem for
public transport which consists in designing a system of
fares maximizing revenue. We propose a new simple general
model for this problem. It i
s based on a demand function and constraints for the
different fares. The constraints define the structure of
the fare system, e.g., distance dependent fares or zone
fares. We discuss a simple example
with a quadratic demand function and distance dependent
fares. Then we introduce a more realistic discrete choice
model in which passengers choose between different
alternatives depending on the numb
er of trips per month. We demonstrate the examples by
computational experiments.
Keywords: fare planning,
demand function,
discrete choice model
MSC: 90B20, 91B74