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Estimating Elasticities for Multi-Modal Public Transport Demand: A Time Series Approach

Author

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  • Gkritza, Konstantina
  • Golias, Ioannis
  • Karlaftis, Matthew G.

Abstract

Research on the demand side of public transportation systems with the use of time series data frequently shows conflicting results with respect to fare elasticities and the factors affecting it. In this analysis we complement prior research by developing seemingly unrelated regression equation models with monthly data for a city served by three different modes of public transportation. The results indicate that, as expected, urban public transport demand in Athens, Greece, is inelastic with respect to fares but, surprisingly, highly inelastic with respect to automobile fuel cost. Further, different transit modes have significantly different fare elasticities, a finding with important practical implications.

Suggested Citation

  • Gkritza, Konstantina & Golias, Ioannis & Karlaftis, Matthew G., 2004. "Estimating Elasticities for Multi-Modal Public Transport Demand: A Time Series Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 43(2).
    • Handle: RePEc:ags:ndjtrf:206731
    DOI: 10.22004/ag.econ.206731
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    Cited by:

    1. Milioti, Christina P. & Karlaftis, Matthew G., 2014. "Estimating multimodal public transport mode shares in Athens, Greece," Journal of Transport Geography, Elsevier, vol. 34(C), pages 88-95.
    2. Gkritza, Konstantina & Karlaftis, Matthew G. & Mannering, Fred L., 2011. "Estimating multimodal transit ridership with a varying fare structure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(2), pages 148-160, February.

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    Community/Rural/Urban Development;

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