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TASK A-3: Examining the Linkages between Electronic Roadway Tolling Technologies and Road Pricing Policy Goals

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  • Demisch, Alexander
  • Iseki, Hiroyuki PhD
  • Taylor, Brian D.

Abstract

The surge of road pricing projects in the U.S. and around the globe over the past fifteen years has been enabled by a set of new communication and transportation technologies. There is currently a wide array of technical configurations ranging from systems based on “tried and true” short-range radio communications to experimental systems relying on global positioning satellites. These technologies provide for a more efficient collection of simple tolls, and also facilitate a movement toward more dynamic, variable user fees. In this study, we provide a comprehensive literature review of eight road pricing cases to identify types of tolling technologies employed, given various policy objectives. In particular, we examine two examples from each of four types of road pricing programs: 1) facility congestion tolls, 2) cordon tolls, 3) weight-distance truck tolls, and 4) distance-based user fees. In the selected cases, we specifically examine various suites of technologies and evaluate approaches to their implementation in road pricing programs with regards to system design and policy. In our literature review, we first describe three major technical tasks to be performed—metering road use, calculating charges, and communicating data—that are implemented by a set of nine technologies varying from on-board units to global navigation system satellites. Secondly, we identify six primary policy goals of these road pricing systems: a) maximize underutilized capacity, b) offer a congestion-free alternative, c) generate revenue, d) reduce congestion, e) allocate costs to users, and f) develop a user-fee alternative to the fuel tax. In our careful synthesis of the literature, we find that two main policy decisions most often determine the selection of roadway tolling technologies: (1) the geographical scale of the road network tolled, and (2) the complexity of calculating the fee to be charged. The combination of these two factors can vary greatly – from tolling individual facilities with flat fees, to nationwide road networks priced with dynamic tolls that vary by vehicle class, time of day, and congestion level. Taking into account the severe funding shortfall for transportation infrastructure, serious concerns about traffic congestion, and related adverse environmental impacts, we expect electronic road pricing systems to continue to grow in scale as well as in number. While systems with newer technologies are continuously in development, the most difficult hurdle for road pricing programs is now less of technical feasibility, but rather political and public support for implementation.

Suggested Citation

  • Demisch, Alexander & Iseki, Hiroyuki PhD & Taylor, Brian D., 2009. "TASK A-3: Examining the Linkages between Electronic Roadway Tolling Technologies and Road Pricing Policy Goals," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt24r1b3jr, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt24r1b3jr
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    References listed on IDEAS

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    1. Hanley, Paul, 2006. "National Evaluation of a Mileage- Based Road User Charge," 47th Annual Transportation Research Forum, New York, New York, March 23-25, 2006 208002, Transportation Research Forum.
    2. Brownstone, David & Ghosh, Arindam & Kazimi, Camilla & Van Amelsfort, Dirk, 2002. "Drivers' Willingness-to-Pay to Reduce Travel Time: Evidence from the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt8q7331mz, University of California Transportation Center.
    3. Brownstone, David & Ghosh, Arindam & Golob, Thomas F & Kazimi, Camilla & Van Amelsfort, Dirk, 2002. "Drivers' Willingness-to-Pay to Reduce Travel Time: Evidence from the San Diego I-15 Congestion Pricing Project," University of California Transportation Center, Working Papers qt3mx1d1k4, University of California Transportation Center.
    4. Brownstone, David & Ghosh, Arindam & Golob, Thomas F. & Kazimi, Camilla & Van Amelsfort, Dirk, 2003. "Drivers' willingness-to-pay to reduce travel time: evidence from the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(4), pages 373-387, May.
    5. Small, Kenneth A., 2005. "Unnoticed Lessons from London," University of California Transportation Center, Working Papers qt4fv237ht, University of California Transportation Center.
    6. Boarnet, Marlon G. & Dimento, Joseph F., 2004. "The Private Sector's Role in Highway Finance: Lessons From SR 91," University of California Transportation Center, Working Papers qt9q69608s, University of California Transportation Center.
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    Cited by:

    1. Julia Numrich & Sascha Ruja & Stefan Voß, 2012. "Global Navigation Satellite System based tolling: state-of-the-art," Netnomics, Springer, vol. 13(2), pages 93-123, July.

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