Public transport systems are usually faced with a number of peaks in the
travel demand of the passengers, in particular over the day. This may
lead to an inefficient utilization of the transport capacity. Revenue
Management may be used to increase the utilization of the capacity,
without leading to a lower service level for the passengers.
Revenue Management is based on one hand on combinatorial optimization
models for modifying the public transport system itself, for example
leading to changes in tariffs, frequencies, timetables, capacities, etc.
On the other hand, it requires insight into passenger behavior in
response to these changes in the system. Combining these aspects leads
to a win-win result both for the passengers and for the public transport
system itself. For validating the intended passenger simulation models,
digital data sources such as data from OV chip cards and mobile
telephones are used.
This project is carried out in close cooperation with Netherlands
Railways, the main operator of passenger trains in the Netherlands. The
project builds upon and integrates the research that was carried out by
the Rotterdam School of Management of Erasmus University Rotterdam
together with Netherlands Railways. This earlier research was related to
Revenue Management and Mathematical System Optimization.
Within this project, one Ph.D. position is available at the Rotterdam
School of Management of Erasmus University in Rotterdam. The Ph.D.
position is to be filled as soon as possible.
For further information, please contact prof.dr. Leo Kroon
(lkroon@rsm.nl <mailto:lkroon@rsm.nl> )
More information can also be found at:
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