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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.
List of contents
1. Introduction.- 2. Theoretical background and literature review.- 3. Establishing the research framework.- 4. The path of railway tariffing.- 5. Searching for more efficient railway prices.- 6. Discussion.- References.- Appendix A Source code.- Appendix B Market research.- Appendix C Abstract.
About the author
The author studied business administration in Berlin and Budapest. After starting as a management trainee at Deutsche Bahn AG, he worked in corporate development in the area of passenger transportation strategy and earned his doctorate in the graduate school “Research on organisational paths” in Berlin. He then returned to Deutsche Bahn as a key account manager for sales in regional transport. Since 2016 he has been active in the long-distance transport sector of the Austrian Federal Railways.
Summary
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.
