This study addresses the reliability of toll road revenue forecasts by analyzing historical data from existing toll roads in the United States. The aggregation of this data, along with an understanding of the relationships between revenues, traffic, and toll charges, leads to the development of applicable regression models. Elasticity of demand is the key link associated with these three toll road elements. The ability to combine elasticity with the toll road aspects' relationship provides the reader with a better understanding of forecast reliability. The groundwork for establishing a computer-based error prediction model can then be explained.


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    Titel :

    Reliability of Toll Road Revenue Forecasts for Selected Toll Roads in the United States


    Beteiligte:
    B. P. Dedeitch (Autor:in) / R. B. Machemehl (Autor:in) / M. A. Euritt (Autor:in) / R. Harrison (Autor:in) / C. M. Walton (Autor:in)

    Erscheinungsdatum :

    1993


    Format / Umfang :

    108 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





    Toll bridges and toll roads

    Brosseau, A.J. | Engineering Index Backfile | 1928


    Toll roads

    Kelly, H.H. | Engineering Index Backfile | 1931


    Why toll roads?

    Owen, W. / Dearing, C. | Engineering Index Backfile | 1952