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Effects of timetable related service quality on rail demand

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  • Wheat, Phill
  • Wardman, Mark

Abstract

This paper is concerned with the suitability of and component weightings within the composite index Generalised Journey Time (GJT). GJT is used to model rail demand in Britain and is composed of station-to-station journey time, service headway and a penalty for the need to change trains. We analyse a large data set of rail ticket sales data to explore three features of GJT. The first is to determine how GJT impacts on rail demand, including interactions with distance and value for money and exploring the effects of the size and sign of the change in GJT, distinguishing between short run and long run effects. The new evidence obtained was important given concerns over the elasticities previously recommended for use in the rail industry in Britain. Secondly, we provide evidence as to whether the weights associated with headway and interchange in GJT are appropriate. Our analysis indicates that more influence should be attached to interchange. Finally, the rail industry in Britain’s approach of using GJT and fare is quite unique. We have tested how it compares with the more traditional approach of generalised cost and with the specification of separate elasticities to the component parts of GJT. This indicates that the GJT approach is preferable to the more conventional approach although there would seem to be value in further pursuing separate elasticities to the components of GJT.

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  • Wheat, Phill & Wardman, Mark, 2017. "Effects of timetable related service quality on rail demand," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 96-108.
  • Handle: RePEc:eee:transa:v:95:y:2017:i:c:p:96-108
    DOI: 10.1016/j.tra.2016.11.009
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    1. Ramanathan, R., 2001. "The long-run behaviour of transport performance in India: a cointegration approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(4), pages 309-320, May.
    2. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    3. Mark Wardman, 2012. "Review and meta-analysis of U.K. time elasticities of travel demand," Transportation, Springer, vol. 39(3), pages 465-490, May.
    4. Kulshreshtha, Mudit & Nag, Barnali & Kulshrestha, Mukul, 2001. "A multivariate cointegrating vector auto regressive model of freight transport demand: evidence from Indian railways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(1), pages 29-45, January.
    5. Abrantes, Pedro A.L. & Wardman, Mark R., 2011. "Meta-analysis of UK values of travel time: An update," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 1-17, January.
    6. Marazzo, Marcial & Scherre, Rafael & Fernandes, Elton, 2010. "Air transport demand and economic growth in Brazil: A time series analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(2), pages 261-269, March.
    7. Samimi, Rodney, 1995. "Road transport energy demand in Australia: A cointegration approach," Energy Economics, Elsevier, vol. 17(4), pages 329-339, October.
    8. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Wardman, Mark & Hatfield, Andrew & Shires, Jeremy & Ishtaiwi, Mahmoud, 2019. "The sensitivity of rail demand to variations in motoring costs: Findings from a comparison of methods," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 181-199.
    2. Mark Wardman & Jeremy Toner, 2020. "Is generalised cost justified in travel demand analysis?," Transportation, Springer, vol. 47(1), pages 75-108, February.
    3. Hu, Xinlei & Wang, Xiaokun (Cara) & Ni, Linglin & Shi, Feng, 2022. "The impact of intercity economic complementarity on HSR volume in the context of megalopolization," Journal of Transport Geography, Elsevier, vol. 98(C).

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