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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.