Development of the Transportation Revenue Estimator and Needs Determination System (TRENDS) Forecasting Model: MPO Sub-Models and Maintenance Page: 3
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19. The average number of vehicles per capita by county by vehicle class was calculated by
multiplying the data described in Step 18 by the estimated population for the same
period.
20. The projected number of vehicles by vehicle class by county was derived by multiplying
the per capita data derived in Step 19 by the projected population described in Step 11.
21. The projected number of vehicles by class by county became the basis of calculating
vehicle registration fees.
22. The procedures described above were repeated for each of the four population growth
scenarios produced by the State Data Center.
23. Counties were aggregated by MPO to produce local option revenue estimates.
After the sub-models were developed, they were incorporated into the web-based user interface
of the TRENDS model. Figures 1 through 7 illustrate the new portion of the model added in
FY2010 related to local revenue options. In this section of the model, the first question asked is
whether the user wishes to perform a local option revenue analysis. The default answer is "No."
(See Figure 1.)
Local Revenue Options
Do you want to do a local option revenue analysis? Yes/No No
Local Fuel Tax
Do you want to change local fuel tax rate? Yes/No o
Local VMT
Do you want to change local VMT? Yes/No i.I..II.I.Io.^.._.
Local Vehicle Registration Fee
Do you want to change local Vehicle Registration Fee? Yes/No N
Local Fuel Efficiency
Do you want to change local fuel efficiency? Yes/No N
Figure 1. Local Revenue Options.
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Glover, Brianne; Norboge, Nicolas & Ellis, David. Development of the Transportation Revenue Estimator and Needs Determination System (TRENDS) Forecasting Model: MPO Sub-Models and Maintenance, report, November 2011; College Station, Texas. (https://texashistory.unt.edu/ark:/67531/metapth281751/m1/13/: accessed July 18, 2024), University of North Texas Libraries, The Portal to Texas History, https://texashistory.unt.edu.; crediting UNT Libraries Government Documents Department.