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

Abstract 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.

[1]  K. Small,et al.  The Economics Of Traffic Congestion , 1993 .

[2]  M. Edmunds.  Personalized prescription pad policies. , 2004, The Nurse practitioner.

[3]  Neal Douglass,et al.  Austin American Statesman , 1949 .

[4]  D. Schrank,et al.  THE 2004 URBAN MOBILITY REPORT , 2002 .

[5]  Mark Goh,et al.  Congestion management and electronic road pricing in Singapore , 2002 .

[6]  E. Sullivan,et al.  CONTINUATION STUDY TO EVALUATE THE IMPACTS OF THE SR 91 VALUE-PRICED EXPRESS LANES. FINAL REPORT , 2000 .

[7]  K. Kockelman,et al.  Credit-Based Congestion Pricing: Travel, Land Value, and Welfare Impacts , 2003 .

[8]  Todd Litman,et al.  Using Road Pricing Revenue: Economic Efficiency and Equity Considerations: , 1996 .

[9]  G. Giuliano.  EQUITY AND FAIRNESS CONSIDERATIONS OF CONGESTION PRICING , 1994 .

[10]  Jonas Eliasson,et al.  Road pricing with limited information and heterogeneous users: A successful case , 2001 .

[11]  Kara M. Kockelman,et al.  Propagation of Uncertainty in Transportation Land Use Models: Investigation of DRAM-EMPAL and UTPP Predictions in Austin, Texas , 2003 .

[12]  Kara M. Kockelman,et al.  FRONTAGE ROADS IN TEXAS: A COMPREHENSIVE ASSESSMENT , 2001 .

[13]  C. M. Penchina.  ON THE STABILITY OF MINIMAL REVENUE PRICING , 2003 .

[14]  Elizabeth Deakin,et al.  TRANSPORTATION PRICING STRATEGIES FOR CALIFORNIA: AN ASSESSMENT OF CONGESTION, EMISSIONS, ENERGY, AND EQUITY IMPACTS. FINAL REPORT , 1996 .

[15]  Mark F. Muriello,et al.  Value Pricing Toll Program at Port Authority of New York and New Jersey: Revenue for Transportation Investment and Incentives for Traffic Management , 2004 .

[16]  M. Burris,et al.  Impact of Variable Pricing on Temporal Distribution of Travel Demand , 2001 .

[17]  P. Ferrari.  Road network toll pricing and social welfare , 2002 .

[18]  Robert B. Dial,et al.  Minimal-revenue congestion pricing part I: A fast algorithm for the single-origin case , 1999 .

[19]  James Odeck,et al.  Toll financing in Norway: The success, the failures and perspectives for the future , 2002 .

[20]  T Litman,et al.  ROAD RELIEF: TAX AND PRICING SHIFTS FOR A FAIRER, CLEANER, AND LESS CONGESTED TRANSPORTATION SYSTEM IN WASHINGTON STATE , 1998 .

[21]  Robin Lindsey,et al.  Road pricing issues and experiences in the US and Canada , 2003 .

[22]  Mark W Burris,et al.  Observed Traffic Pattern Changes Due to Variable Tolls , 2000 .

[23]  E. Pinkston.  Innovative financing of highways: An analysis of proposals , 1998 .

[24]  T. Litman.  London Congestion Pricing – Implications for Other Cities , 2005 .

[25]  R. Noland.  Relationships between highway capacity and induced vehicle travel , 2001 .