IDEAS home Printed from https://ideas.repec.org/p/cdl/uctcwp/qt7xp113vp.html
   My bibliography  Save this paper

Modeling Air Quality for Conformity, Current Deficiencies, and New Directions

Author

Listed:
  • Washington, Simon
  • Guensler, Randall

Abstract

On November 24, 1993, the US Environmental Protection Agency adopted the transportation conformity rule, pursuant to Section 176(c)(4) of the Clean Air Act. The conformity rule requires that transportation plans, programs and projects funded or approved by the federal government or their agents under Title 23 (Highways) U.S.C. or the Federal Transit Act conform with state or Federal air quality implementation plans. Federal transportation planning regulations contain reciprocal language (40 CFR 450.312(d)), stipulating that the MPO shall not approve any plan or program that does not conform to the SIP as determined in accordance with the conformity rule. The final transportation/air quality conformity rule (23 CFR Part 450 and 49 CFR Part 613) constrains the development of transportation plans, improvement programs and projects and has increased pressure on statewide metropolitan transportation agencies to ensure that transportation and air quality plans are coordinated. Rigorous requirements for regional and local air quality modeling of transportation systems are included in the final conformity rule, and agencies are working diligently to meet these demands. The research community and practitioners alike have raised significant questions as to the reasonableness and accuracy for requiring specific modeling procedures -- large uncertainties in the modeling process are prevalent. These inherent uncertainties are likely to lead to erroneous transportation planning decisions, and possible mis-allocation of local, state, and federal moneys. This paper briefly addresses and identifies some of the more significant uncertainty issues associated with the transportation modeling process in context of the demands set forth by the Conformity Rule. The uncertainties listed are not meant to be comprehensive, but instead aims to shed light on the 'missing communication link' between technical experts and policy makers. Modeling requirements and procedures set forth in the Conformity Rule do not reflect the magnitude and depth of current modeling deficiencies. Solutions to these modeling uncertainties can be provided with advancements in both transportation activity and emissions modeling procedures. It is important for future modeling revisions and upgrades to explicitly include estimates of uncertainty in computations, so that decisions makers can re-shape existing policies -- making them more sensitive to explicit uncertainties.

Suggested Citation

  • Washington, Simon & Guensler, Randall, 1994. "Modeling Air Quality for Conformity, Current Deficiencies, and New Directions," University of California Transportation Center, Working Papers qt7xp113vp, University of California Transportation Center.
  • Handle: RePEc:cdl:uctcwp:qt7xp113vp
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/7xp113vp.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Social and Behavioral Sciences;

    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:cdl:uctcwp:qt7xp113vp. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.