The Transportation Revenue Estimator and Needs Determination SystemT.R.E.N.D.S.

a web-based model to estimate revenue needs under alternative scenarios of mobility

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. The User, through interactive windows, can control a number of variables related to assumptions regarding statewide transportation needs, population growth rates, fuel efficiency, 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’s inputs regarding both transportation needs and revenue choices.

T.R.E.N.D.S. will be updated on a monthly basis to include the latest cash forecasts and letting schedules from TxDOT. In addition, as updates regarding population forecasts, inflation rates, fuel efficiency, and other variables become available, they will be incorporated into the model.

To make comments regarding the model, offer suggestions for improvements, or for assistance, please contact David Ellis at d-ellis@tamu.edu.

Please consult the User's Guide for specifc information on user-controlled inputs and a description of the model output.

T.R.E.N.D.S. was developed jointly by the Texas Department of Transportation and the Texas Transportation Institute

Project Director:

Jessica Castiglione, P.E., Texas Department of Transportation

Principal Investigator:

David Ellis, Ph.D., Texas Transportation Institute

Model Developers:

Jessica Castiglione, P.E., Texas Department of Transportation
David Ellis, Ph.D., Texas Transportation Institute

User Interface Developers:

Tengxi Wang, Texas Transportation Institute
Xue Yang, Texas Transportation Institute
Yuan Zhi, Texas Transportation Institute
Hassan Charara, Texas Transportation Institute
Jared Atchison, Texas Transportation Institute
Mark Coppock, Texas Transportation Institute
Bryan Miller, Texas Transportation Institute