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    <copyright>Copyright © 2026. National Academy of Sciences. All rights reserved.</copyright>
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    <managingEditor>tris-trb@nas.edu (Bill McLeod)</managingEditor>
    <webMaster>tris-trb@nas.edu (Bill McLeod)</webMaster>
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      <title>Research in Progress (RIP)</title>
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      <title>RES2020-18: Developing Statewide Land Use Forecasting Model and Integrate with TDOT's Statewide Travel Demand Model</title>
      <link>https://rip.trb.org/View/1716835</link>
      <description><![CDATA[In this research, a statewide forecasting land-use model is presented. The land-use model is called the LargeScale Land Use Model (LS-LUM) and can be integrated with Tennessee Statewide Travel Demand Model (TSM
v3). Massive data collection was followed in this project and households’ information, employment information,
housing information was collected at the Traffic Analysis Zones (TAZ) level. Moreover, parcel data for 94 counties
were collected to be incorporated into the model. The model is developed for the base year 2010 and forecasts the
demographic and socio-economic condition of the state of Tennessee from 2015 to 2050 with five years intervals.
The developed model is validated using the backcasting approach and the goodness of fit and error measures are
provided to show the accuracy of the model. To present the result of the model, an online dashboard is created
providing forecasting results from 2015 to 2050 at TAZ and County levels Moreover, the online dashboard
presents a brief statistical analysis. The developed land-use model is integrated with TSM v3 and results are
provided. Since the model incorporates house conditions (total houses and vacant houses) and land use conditions
in each TAZ (residential, commercial, industrial, agricultural, and developable lands), it provides a powerful tool
for policy analysis. A software is developed for running the model using MATLAB Compiler Runtime, which
enables sharing the model with other parties.

]]></description>
      <pubDate>Mon, 29 Jun 2020 14:12:28 GMT</pubDate>
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