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TRADE FLOWS USING TEXAS 254 COUNTIES DATA SETS

TRADE FLOWS USING TEXAS 254 COUNTIES DATA SETS. Hyunkyung Jung GIS Term Project November 29 th , 2001. INTRODUCTIONS. Modeling long-run transportation demands has been developed for Effect of the interactions between activities in regional economies

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TRADE FLOWS USING TEXAS 254 COUNTIES DATA SETS

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  1. TRADE FLOWS USING TEXAS 254 COUNTIES DATA SETS Hyunkyung Jung GIS Term Project November 29th, 2001

  2. INTRODUCTIONS • Modeling long-run transportation demands has been developed for • Effect of the interactions between activities in regional economies • Daily Movement of Persons and Goods which can be estimated by interaction between transportation and land use

  3. Trade Flow System INTRODUCTIONS • A conceptual examination • Land Use – Transportation Interaction Models • Application of random-utility-based mutli-zonal input-output (RUBMZIO) model with TEXAS counties data set

  4. Texas Highways & Railroads Output dataset from Yeon-Joo Min (UT Transportation Graduate Student) DATA COLLECTIONS http://www.ar.utexas.edu/planning/data/index.html#texas

  5. DATA ASSEMBLY • Simulation data: 254 zones, 31 export zones and 14 sectors • Technical coefficients for each of the 5 Districts j ( ) • Travel costs ( ) • Foreign export demands for export zone ( ) • Origin Choice parameters ( )

  6. 1: Calculate disutility , and are initially given 2: Calculate trade of export flows and are initially given and are an export zone 3: Calculate trade of internal flow 4: Calculate average input costs RUBMZIO ITERATIONS

  7. AMOUNT OF TRADE FOR AGRICULTURE, FORESTRY, AND FISHERIES PRODUCTS

  8. 254 COUNTIES & 25 DISTRICTS

  9. POPULATION

  10. FTW & DAL HOUSTON SAN ANTONIO TEXAS HIGHWAY & RAILWAYS AND 31 EXPORT ZONES

  11. EMPIRICAL RESULTS • The amount of trade ( ) for each sector is highly affected by the transport costs/accessibility • Trade volumes in this example highly favor the closest zones

  12. TRADE FLOWS

  13. AMA CHS LBB WFS PAR DAL ATL ABL FTW TYL BWD WAC ELP ODA SJT LFK BRY AUS BMT HOU SAT YKM LRD CRP PHR GENERAL TREND of TRADE FLOWS-Agriculture, Forestry, and Fisheries from Austin-

  14. INPUT AND PARAMETER EFFECTS • Technical Coefficient • Total production costs • Total consumption amounts • Foreign Export Demand • Overall economy’s demands • Trade flows

  15. INPUT AND PARAMETER EFFECTS • Transporting Cost (for interzone and export zone) • The amount of trade for each sector • Scale Parameter • The distribution pattern of trade

  16. AMA CHS LBB WFS PAR DAL ATL ABL FTW TYL BWD WAC ELP ODA SJT LFK BRY AUS BMT HOU SAT YKM LRD CRP PHR SCALE PARAMETER DECREASE EFFECT-Agriculture, Forestry, and Fisheries from Austin-

  17. CONCLUSIONS • Improvements to a zone’s technology significantly enhanced its trade and production levels • Travel cost increases limited trade interactions, while scale-parameter reductions increased interactions. • Increases in Export demands fed back through all levels of the trading system, spurring demand and trade flow increases everywhere.

  18. CONCLUSIONS • RUBMZIO model • A valuable set of relationships to predict trade flows, location choices/production levels, and market prices • Assessing regional transportation, land use, technology, and trade policies

  19. FUTURE STUDY • Represent trade-offs between supply and demand and between transport costs and land values.  • Investigates the sensitivities of trade flows and other model outputs to various inputs and parameters • Combine the mode choice parameter and origin choice parameter and show the effect of each choice on trade flow • Compare a variety of related land-use/transport interaction models

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