Development of the Texas revenue estimator and needs determination system (T.R.E.N.D.S.) model.

Details

• Creators:
  Ellis, David
• Corporate Creators:
  Texas Transportation Institute
• Corporate Contributors:
  Texas. Dept. of Transportation. Research and Technology Implementation Office ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Finance Finance--Texas Revenues Revenues--Texas.
• Publication/ Report Number:
  FHWA/TX-09/0-6395-TI-1 ; 0-6395-TI-1
• Resource Type:
  Tech Report
• Geographical Coverage:
  Texas
• Edition:
  Technical report; Sept. 2008-June 2009.
• Corporate Publisher:
  Texas Transportation Institute
• Abstract:
  The original purpose of Project 0-6395-TI was to assess the usefulness and viability of the Joint Analysis
  
  Using Combined Knowledge (J.A.C.K.) model as a planning and forecasting tool. What originally was
  
  named the J.A.C.K. model was substantially revised, expanded and renamed the Texas Revenue Estimator
  
  and Needs Determination System (T.R.E.N.D.S.) model. The T.R.E.N.D.S. model is designed to provide
  
  transportation planners, policy makers and the public with a tool to forecast revenues and expenses for the
  
  Texas Department of Transportation (TxDOT) for the period 2010 through 2035 based on a user-defined
  
  level of transportation investment. The user, through interactive windows, can control a number of variables
  
  related to assumptions regarding statewide transportation needs, population growth rates, fuel efficiency,
  
  federal reimbursement rates, inflation rates, taxes, fees and other elements. The output is a set of tables and
  
  graphs showing a forecast of revenues, expenditures and fund balances for each year of the analysis period
  
  based on the user-defined assumptions. The version of the model developed under this project is a beta-test
  
  version to solicit comments from metropolitan planning organizations (MPOs) across the state.
  
  
• Format:
  PDF
• Funding:
  0-6395-TI
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:0a2922652e5700c0501d959cb30f7bd7f839ae1e8f13e468605b47c38ba45c2b
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18038/dot_18038_DS1.pdf
• File Type:
  [PDF - 3.18 MB ]