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Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis

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  • WIJEWEERA, ALBERT
  • CHARLES, MICHAEL B.

Abstract

Annual data from 1983-2008, together with modern time series econometrics methods, is used to examine the factors potentially contributing to growth in passenger rail demand in Perth, Australia. A cointegration approach is used to estimate long-run passenger rail elasticities and an error correction model to estimate short-run elasticities. The study finds that a 10-percent cut in the fare increases boardings by about 8 percent in the long run and 7.6 percent in the short run, while population exerts a significantly positive impact on demand. Rail kilometres operated and commuter perceptions are the other two most significant variables.

Suggested Citation

  • Wijeweera, Albert & Charles, Michael B., 2013. "Determinants Of Passenger Rail Demand In Perth, Australia: A Time Series Analysis," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 217-230.
    • Handle: RePEc:eaa:aeinde:v:13:y:2013:i:2_16
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    References listed on IDEAS

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    5. Voith, Richard, 1997. "Fares, Service Levels, and Demographics: What Determines Commuter Rail Ridership in the Long Run?," Journal of Urban Economics, Elsevier, vol. 41(2), pages 176-197, March.
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    Cited by:

    1. Sen, Suman & Charles, Michael B. & Harrison, Jennifer L., 2022. "Usage-based road pricing and potential equity issues: A study of commuters in South East Queensland, Australia," Transport Policy, Elsevier, vol. 118(C), pages 33-43.
    2. Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023. "Elasticities of Passenger Transport Demand on US Intercity Routes: Impact on Public Policies for Sustainability," Sustainability, MDPI, vol. 15(18), pages 1-27, September.
    3. Meng, Lingyun & Zhou, Xuesong, 2019. "An integrated train service plan optimization model with variable demand: A team-based scheduling approach with dual cost information in a layered network," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 1-28.

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    • F31 - International Economics - - International Finance - - - Foreign Exchange

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