This article explores the traffic, land use and welfare impacts of road pricing in the Austin (Texas, USA) region, including the introduction of planned toll roads, bridge tolls, and a downtown cordon toll. Different tolling strategies are examined, including fixed versus variable toll rates. The travel demand model (TDM) incorporates joint mode and time-of-day choice models, as well as multinomial model of destination choice, relying on a full feedback of travel times and costs. Austin-calibrated DRAM-EMPAL models are used to predict future household and job distributions. Results include traffic redistribution over space and time, long-term location choice changes, and traveler welfare implications. While the proposed toll roads to generate revenues and enhance traveler options, their estimated project costs are not estimated to exceeds such benefits. In addition, the bridge tolls are expected to successfully redistribute traffic, while the downtown area appears highly sensitive to cordon tolls.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Road Pricing Simulations: Traffic, Land Use and Welfare Impacts for Austin, Texas


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2006-02-01


    Format / Umfang :

    23 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Road Pricing Simulations: Traffic, Land Use, and Welfare Impacts for Austin, Texas

    National Research Council (U.S.) | British Library Conference Proceedings | 2005



    Traffic and Welfare Impacts of Credit-Based Congestion Pricing Applications: An Austin Case Study

    Kockelman, Kara M. / Huang, Yantao | Transportation Research Record | 2020


    Credit-Based Congestion Pricing: Travel, Land Value, and Welfare Impacts

    Kalmanje, Sukumar / Kockelman, Kara M. | Transportation Research Record | 2004