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Alabama Department of Transportation By: University of Alabama at Huntsville

Development of a Method to Forecast Freight Demand Arising from the Final Demand Sector and Examination of Federal Data to Analyze Transportation Demand for Local Area Through Trips Research Performed for:. Alabama Department of Transportation By: University of Alabama at Huntsville

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Alabama Department of Transportation By: University of Alabama at Huntsville

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  1. Development of a Method to Forecast Freight Demand Arising from the Final Demand Sector and Examination of Federal Data to Analyze Transportation Demand for Local Area Through Trips Research Performed for: Alabama Department of Transportation By: University of Alabama at Huntsville Principal Investigator: Michael D. Anderson, Ph.D., P.E. Co-Investigator: Gregory A. Harris, Ph.D., P.E.

  2. Objectives: Create a method and a database for use in forecasting freight demand arising from the household/final demand sector Use the US Department of Transportation Freight Analysis Framework Version 2 (FAF2) database to provide state and local government’s access to transportation information related to freight origin/destination

  3. Create a method and a database for use in forecasting freight demand arising from the household/final demand sector Data was gather from cities in Alabama with a population over 25,000 Data was gathered from distribution centers and warehouses by interviews and surveys Researchers derived a method to allocate freight traffic arising from the final demand sector to Alabama counties Surveys revealed that most distribution networks serving Alabama are hub and spoke or route -based Tested variables included: population, employment, payroll and personal income Personal income correlated with expected final freight distribution across Alabama with the population coming in second

  4. Use the US Department of Transportation Freight Analysis Framework Version 2 (FAF2) database to provide state and local government’s access to transportation information related to freight origin/destination FAF2 database identifies freight origin/destination movement by commodity, mode and amount Database determined the number of vehicles passing through urban areas in Alabama Mass volume of data in FAF2 database limited the usefulness to state and local agencies Researchers developed a repository from FAF2 database which allowed easier access to information for transportation planners and MPOs

  5. Research Developments Combined data/information gathered and developed in objective 1 and 2 produced a useful tool (model) that could be used by transportation planners, MPOs and transportation officials when addressing infrastructure issues. Data from this research was used to in the creation of the Freight Planning Framework and the Alabama Transportation Infrastructure Model and the ability to simulate transportation system behavior over time.

  6. Questions ?Contact InformationTechnical contacts:(PI) Michael D. Anderson, Ph.D., P.E(256) 824-5028andersmd@uah.edu(Co-PI) Gregory A. Harris, Ph.D., P.E.(256) 824-6060harrisg@uah.eduALDOT contact:Jeffrey W. Brown(334) 353-6940brownje@dot.state.al.us

  7. Freight Planning Framework Version 1.3 FAZ Forecast by Mode Disaggregation Filter FAZ (Mode Dependent) FAZ TRANPLAN / ATIM Interface FAZ FAZ System Performance Measures TRANPLAN Distribution & Volumes Input to ATIM FAF 2 Data Input to Gravity Distribution Model TRAN-PLAN ATIM Growth Projections By Industry Cluster FAZ FAZ FAZ FAZ FAZ FAZ Passenger Car Data Freight Analysis Zones Planning Factors – Value of Shipments, Household Income, Population/Employment Industry Cluster Analysis

  8. Freight Planning Framework Relevance of ALDOT Funded Projects FAF2 Matching Support FAZ Forecast by Mode Disaggregation Filter Performance Measures FAZ (Mode Dependent) FAZ TRANPLAN / ATIM Interface FAZ FAZ System Performance Measures TRANPLAN Distribution & Volumes Input to ATIM FAF 2 Data Input to Gravity Distribution Model TRAN-PLAN ATIM Growth Projections By Industry Cluster FAZ FAZ FAZ FAZ FAZ FAZ Passenger Car Data Freight Analysis Zones Interface for TRANPLAN And ATIM (UTCA) Final Demand Sector and Pass Through Freight Planning Factors – Value of Shipments, Household Income, Population/Employment Industry Cluster Analysis

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