This work reconstructs the history of fare policy in the European passenger railway industry
and integrates behavioural pricing theory into an agent-based simulation model for railway
revenue management. The model is employed to conduct artificial experiments on fare
innovations. It represents supply and demand on a transport market including car traffic and is
calibrated with empirical data of an incumbent European railway. The model uses a combination
of marketing concepts dynamics in time and social interaction of consumers to analyse revenue
effects of different pricing options. This book provides insights for readers interested in the
commercial aspects of transportation history. Furthermore it is directed at researchers
interested in pricing theory and the simulation method. It is also a rich source of information
for practitioners in the revenue management branches of transport enterprises.
