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The marginal social cost of headway for a scheduled service

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  • Fosgerau, Mogens

Abstract

This brief paper derives the marginal social cost of headway for a scheduled service, i.e. the cost for users of marginal increases to the time interval between departures. In brief we may call it the value of headway in analogy with the value of travel time and the value of reliability. Users have waiting time costs as well as schedule delay costs measured relative to their desired time of arrival at the destination. They may either arrive at the station to choose just the next departure or they may plan for a specific departure in which case they incur also a planning cost. Then planning for a specific departure is costly but becomes more attractive at longer headways. Simple expressions for the user cost result. In particular, the marginal cost of headway is large at short headways and smaller at long headways. The difference in marginal costs is the value of time multiplied by half the headway.

Suggested Citation

  • Fosgerau, Mogens, 2009. "The marginal social cost of headway for a scheduled service," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 813-820, September.
  • Handle: RePEc:eee:transb:v:43:y:2009:i:8-9:p:813-820
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Paul Koster & Eric Pels & Erik Verhoef, 2016. "The User Costs of Air Travel Delay Variability," Transportation Science, INFORMS, vol. 50(1), pages 120-131, February.
    2. Benezech, Vincent & Coulombel, Nicolas, 2013. "The value of service reliability," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 1-15.
    3. Raphaël Lamotte & André De Palma & Nikolas Geroliminis, 2016. "Sharing the road: the economics of autonomous vehicles," Working Papers hal-01281425, HAL.
    4. Vincent Benezech & Nicolas Coulombel, 2013. "The value of service reliability," Post-Print hal-00925940, HAL.
    5. repec:eee:transb:v:99:y:2017:i:c:p:205-227 is not listed on IDEAS
    6. Piet Rietveld, 2011. "The Economics of Information in Transport," Chapters,in: A Handbook of Transport Economics, chapter 24 Edward Elgar Publishing.
    7. Yin-Yen Tseng & Piet Rietveld & Erik Verhoef, 2012. "Unreliable trains and induced rescheduling: implications for cost-benefit analysis," Transportation, Springer, vol. 39(2), pages 387-407, March.
    8. André de Palma & Mogens Fosgerau, 2011. "Dynamic Traffic Modeling," Chapters,in: A Handbook of Transport Economics, chapter 9 Edward Elgar Publishing.
    9. De Borger, Bruno & Fosgerau, Mogens, 2012. "Information provision by regulated public transport companies," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 492-510.
    10. Hjorth, Katrine & Börjesson, Maria & Engelson, Leonid & Fosgerau, Mogens, 2015. "Estimating exponential scheduling preferences," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 230-251.
    11. André De Palma & Mogens Fosgerau, 2010. "Dynamic and Static congestion models: A review," Working Papers hal-00539166, HAL.
    12. Fosgerau, Mogens & Engelson, Leonid, 2011. "The value of travel time variance," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 1-8, January.
    13. Bernal, Margarita & Welch, Eric W. & Sriraj, P.S., 2016. "The effect of slow zones on ridership: An analysis of the Chicago Transit Authority “El” Blue Line," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 11-21.

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