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.
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