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Unreliability in Public Transport Chains

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Author Info

  • F.R. Bruinsma

    (Vrije Universiteit Amsterdam)

  • P. Rietveld

    ()
    (Vrije Universiteit Amsterdam)

  • D.J. van Vuuren

    (Vrije Universiteit Amsterdam)

Abstract

In this paper the reliability of travelling by public transport modes is investigated. We deal with the reliability of travel times in public travel chains. Until now the only research in this field has been directed towards the reliability of trips where only one move is made. Therefore, a new element of our approach is that the probability that passengers miss the connection from one part of a chain to the other is taken into account.We use a sample of 300 journeys by public transport chains and operationalise them for three different periods of the week (peak hour, off-peak and during the weekend) according to the official time tables as published by the public transport companies.We use the distribution of arrival and departure times - specified for each public transport mode - to simulate disturbances of the travel times compared to official travel times as published by the public transport companies.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 98-130/3.

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Date of creation: 21 Jan 1999
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Handle: RePEc:dgr:uvatin:19980130

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References

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  1. Rienstra, S.A. & Rietveld, P., 1996. "Speed behaviour of car drivers: a statistical analysis of acceptance of changes in speed policies in the Netherlands," Serie Research Memoranda, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics 0007, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  2. Carey, Malachy, 1994. "Reliability of interconnected scheduled services," European Journal of Operational Research, Elsevier, Elsevier, vol. 79(1), pages 51-72, November.
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Citations

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Cited by:
  1. Rietveld, P. & Bruinsma, F. R. & van Vuuren, D. J., 2001. "Coping with unreliability in public transport chains: A case study for Netherlands," Transportation Research Part A: Policy and Practice, Elsevier, Elsevier, vol. 35(6), pages 539-559, July.
  2. Hu Shao & William Lam & Mei Tam, 2006. "A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes under Uncertainty in Demand," Networks and Spatial Economics, Springer, Springer, vol. 6(3), pages 173-204, September.
  3. Keijer, M.J.N. & Rietveld, P., 1999. "How do people get to the railway station : a spatial analysis of the first and the last part of multimodal trips," Serie Research Memoranda, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics 0009, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
  4. Bergström, Anna & Krüger, Niclas A., 2013. "Modeling passenger train delay distributions: evidence and implications," Working papers in Transport Economics, CTS - Centre for Transport Studies Stockholm (KTH and VTI) 2013:3, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  5. Krüger, Niclas A. & Vierth , Inge & Fakhraei Roudsari, Farzad, 2013. "Spatial, temporal and size distribution of freight train delays: evidence from Sweden," Working papers in Transport Economics, CTS - Centre for Transport Studies Stockholm (KTH and VTI) 2013:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
  6. Lam, William H.K. & Shao, Hu & Sumalee, Agachai, 2008. "Modeling impacts of adverse weather conditions on a road network with uncertainties in demand and supply," Transportation Research Part B: Methodological, Elsevier, Elsevier, vol. 42(10), pages 890-910, December.

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