Determinants of passenger rail demand in perth, australia: A time series analysis1

Wijeweera Albert, Michael B. Charles

    Research output: Contribution to journalArticlepeer-review

    9 Scopus citations


    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.

    Original languageBritish English
    Pages (from-to)221-234
    Number of pages14
    JournalApplied Econometrics and International Development
    Issue number2
    StatePublished - 2013


    • Australia
    • Cointegration Method
    • Rail Demand Elasticity


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