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Second Best Decision Making of Railway Operators: How to fix Fares, Frequency and Vehicle Size

Author

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  • Piet Rietveld

    (Vrije Universiteit Amsterdam)

  • Stefan van Woudenberg

    (Vrije Universiteit Amsterdam)

Abstract

Railway networks are characterised by variations in demand on different links. Optimal strategies therefore call for a differentiated treatment of fares, frequencies and vehicle sizes in various links. However, for several reasons, railway operators may apply uniform levels for these decision variables. In this paper we investigate the welfare losses implied by uniform setting of fares per km, frequencies or vehicle sizes. This is done within the context of a model with uniform cost structures, uniform price elasticities, uniform demand levels across the day, but with demand levels that vary across segments of the network. We demonstrate that the largest welfare loss results when frequencies are made uniform across links. Welfare losses due to making vehicle size and price per km uniform across links are smaller. We further find that when capacity, represented by frequency and vehicle size, is set at its optimal level at the various network segments, the contribution of price differentiation to social welfare is very limited. These results suggest that where differentiated prices are important to address issues like congestion and directional asymmetries in demand, differentiated supply in terms of vehicle size and in particular frequences are the preferred way of addressing demand variations on different segments in a network.

Suggested Citation

  • Piet Rietveld & Stefan van Woudenberg, 2007. "Second Best Decision Making of Railway Operators: How to fix Fares, Frequency and Vehicle Size," Tinbergen Institute Discussion Papers 07-007/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20070007
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    References listed on IDEAS

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    1. Piet Rietveld & Roberto Roson, 2002. "Direction dependent prices in public transport: A good idea? The back haul pricing problem for a monopolistic public transport firm," Transportation, Springer, vol. 29(4), pages 397-417, November.
    2. Douglas W. Caves & Laurits R. Christensen & Joseph A. Swanson, 1980. "Productivity in U.S. Railroads, 1951-1974," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 166-181, Spring.
    3. Erik T. Verhoef & Jan Rouwendal, 2004. "Pricing, Capacity Choice, and Financing in Transportation Networks," Journal of Regional Science, Wiley Blackwell, vol. 44(3), pages 405-435, August.
    4. Emile Quinet & Roger Vickerman, 2004. "Principles of Transport Economics," Books, Edward Elgar Publishing, number 2581.
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    Cited by:

    1. Hörcher, Daniel & Tirachini, Alejandro, 2021. "A review of public transport economics," Economics of Transportation, Elsevier, vol. 25(C).
    2. Wenliang Zhou & Ziyu Zou & Naijie Chai & Guangming Xu, 2023. "Optimization of Differential Pricing and Seat Allocation in High-Speed Railways for Multi-Class Demands: A Chinese Case Study," Mathematics, MDPI, vol. 11(6), pages 1-17, March.
    3. Hörcher, Daniel & Graham, Daniel J., 2018. "Demand imbalances and multi-period public transport supply," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 106-126.
    4. Hörcher, Daniel & Graham, Daniel J., 2020. "MaaS economics: Should we fight car ownership with subscriptions to alternative modes?," Economics of Transportation, Elsevier, vol. 22(C).
    5. Daniel Hörcher & Daniel J. Graham, 2021. "The Gini index of demand imbalances in public transport," Transportation, Springer, vol. 48(5), pages 2521-2544, October.

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    More about this item

    Keywords

    Railways; fares; second best; frequency; vehicle size; demand variations;
    All these keywords.

    JEL classification:

    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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    This paper has been announced in the following NEP Reports:

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