RUBMRIO

Anticipating trade, production, and travel. 

             

 

Documentation:

Texas Application

U.S. Application

Codes

Papers

Data

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RANDOM-UTILITY-BASED MULTIREGIONAL INPUT-OUTPUT MODEL

RUBMRIO is a freely available, open-source transportation-economic model that simulates the flow of goods, labor, and vehicles across a multiregional area.  Developed by Dr. Kara Kockelman and her graduate students at the University of Texas at Austin, and based on spatial input-output principles (including logit models for input purchases, such as labor and materials), RUBMRIO simulates trade across regions/zones, as motivated by foreign and domestic export demands. It estimates this trade across numerous economic sectors, offering valuable predictions of future flow patterns via implicit assessment of regional transportation conditions.  The RUBMRIO model serves as a powerful tool for policy makers, transportation planners and developers, in answering a great variety of questions, including the traffic and production impacts of mega-projects like the Trans Texas Corridors (e.g., TTC69 and TTC35), the effects of shifts in export demands and production technologies, and the results of tolling decisions, trade regulation, and other policies.

This website provides a cornucopia of information relating to RUMBRIO, including all of the data used to run the models (for US and Texas networks, with export zones). Moreover, it offers all uncompiled C++ and Visual Basic codes and supporting documentation (often in the form of pre-prints of peer-reviewed published papers).  Interested parties can download the models and the US and Texas data sets directly, run the sample data, enter new zone and network systems (for wholly new applications), and further develop the models. Please note that the relatively new U.S. code can accommodate many more zones than the Texas code (3000+ vs. 300+), due to memory constraints.  This new code allows for much larger scale simulations. Please be sure to read the linked Documentation files and the Readme.txt files, for instructions.

The code is copyrighted to Kara Kockelman and associated investigators.  As an open-source program, all use of codes, original or modified or extended, must be freely shared with others, and appropriately referenced.  We look forward to hearing about your applications of RUBMRIO!  And we welcome questions.

 

 

 
             

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Last Updated: 9.1.11