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Nonlinear Road Pricing

File Language:
English


Details

  • Creators:
  • Corporate Creators:
    University of Florida. Transportation Research Center
  • Corporate Contributors:
    Florida. Department of Transportation
  • Subject/TRT Terms:
  • Publication/ Report Number:
    UF-TRC-79803-2011
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Florida
  • Edition:
    Draft final; 3/25/2011-10/31/2012.
  • Corporate Publisher:
    University of Florida. Transportation Research Center
  • Abstract:
    Nonlinear pricing refers to a case in which the price or tariff is not strictly proportional to the quantity

    purchased. While economists have studied nonlinear pricing for quite some time, its application to road pricing

    is relatively unexplored in the transportation literature. The number of articles on nonlinear road pricing is few,

    and many address only its impacts via empirical evidence. There has been little attempt to determine an optimal

    nonlinear pricing scheme, e.g., that maximizes the social welfare, especially for large road networks.

    The objective of this research is to develop methodologies for determining optimal nonlinear road pricing

    schemes for realistic road networks and explore its impacts, e.g., on congestion, equity, and other factors.

    In this study, we establish new results concerning nonlinear road pricing. In particular, the conditions under

    which link-based equilibrium conditions exist are of particularly importance in theory. New and efficient

    algorithms for determining optimal pricing structures are developed. These algorithms are useful to various

    transportation agencies and private companies in developing and analyzing nonlinear pricing schemes for the

    roads under their jurisdiction.

  • Format:
    PDF
  • Funding:
    FDOT Contract BDK77 977-12
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:02422185818a12bbc6e9147b66232669daa8879f216dfd5c6be4382057213eab4873507e1da7ee5e9c11c83acb85e388f3e5917e3dcdbd3842bbf15379e5ada1
  • Download URL:
  • File Type:
    Filetype[PDF - 1.22 MB ]
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