IDEAS home Printed from https://ideas.repec.org/p/nex/wpaper/windowed.html
   My bibliography  Save this paper

A Windowed Transportation Planning Model

Author

Listed:
  • David Levinson

    () (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

  • Yuanlin Huang

Abstract

This research develops and applies a transportation planning model that integrates regional and local area forecasting approaches. While regional models have the scope to model the interaction of demand and congestion, they lack the spatial detail of a local approach. Local approaches typically do not consider the feedback between new project traffic and existing levels of traffic. Using a window, which retains the regional trip distribution information and the consistency between travel demand and congestion, allows the use of a complete transportation network and block level traffic zones while retaining computational feasibility. By combining the two methods, a number of important policy issues can be addressed, including the implications of traffic calming, changes in flow due to alternative traffic operation schemes, the influence of micro-scale zoning changes on nearby intersections, the impact of TDM on traffic congestion, and the consequences of a suburban light rail line.

Suggested Citation

  • David Levinson & Yuanlin Huang, 1997. "A Windowed Transportation Planning Model," Working Papers 199703, University of Minnesota: Nexus Research Group.
  • Handle: RePEc:nex:wpaper:windowed
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11299/179856
    File Function: First version, 2007
    Download Restriction: no

    References listed on IDEAS

    as
    1. David Levinson & Ajay Kumar, 1995. "A Multi-modal Trip Distribution Model," Working Papers 199503, University of Minnesota: Nexus Research Group.
    2. David Levinson, 1998. "Speed and Delay on Signalized Arterials," Working Papers 199803, University of Minnesota: Nexus Research Group.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    transportation planning model; traffic impact study; travel demand model; intersection control; window .;

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R48 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government Pricing and Policy
    • D10 - Microeconomics - - Household Behavior - - - General
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nex:wpaper:windowed. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (David Levinson). General contact details of provider: http://edirc.repec.org/data/nexmnus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.