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Article

PASS-THROUGH FREIGHT MODELING AT THE STATEWIDE AND METROPOLITAN LEVEL

DOI: 10.7708/ijtte.2014.4(1).01


4 / 1 / 1-13 Pages

Author(s)

Michael D. Anderson - Civil and Environmental Engineering, The University of Alabama in Huntsville, Huntsville, AL 35899 -

Mallikarjuna Kenchappagoudra - Civil and Environmental Engineering, The University of Alabama in Huntsville, Huntsville, AL 35899 -

Mary Catherine Dondapati - Civil and Environmental Engineering, The University of Alabama in Huntsville, Huntsville, AL 35899 -

Gregory A. Harris - Logistics and Transportation, The University of Alabama in Huntsville, Huntsville, AL 35899 -


Abstract

The ability to determine the volumes of freight (specifically trucks) passing through a state or metropolitan area is difficult to determine/forecast because transportation professionals have no direct survey mechanism to collect this data. This paper documents various procedures developed to utilize the Freight Analysis Framework Version 2 Database to determine the number of trucks passing through the entire state and an urban area in Alabama. The procedures developed in this research focus on national level pass through data, trips from one state to another that pass through a state only because of that state’s location; pass through from a port of entry to the country where an urbanized area is located on a major corridor; and statewide level through trip data, trips from one part of a state to another that pass through an urbanized area because of its geographic location. The need for, and application of, the pass through freight forecasting is evident in the transportation planning models each metropolitan area and state are expected to develop and maintain for evaluating transportation projects. The ability to accurately forecast the pass through freight movements will benefit transportation planners by identifying freight volumes that must be accommodated by existing and proposed infrastructure, but for which the state or metropolitan area has no direct method to survey.


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Acknowledgements:

This research was sponsored by the Alabama Department of Transportation, "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, Project 930-697."


References:

ALDOT Traffic Count Maps. Available from Internet: http://aldotgis.dot.state.al.us/trafficvolume/viewer.htm.

 

Cohen, H.; Horowitz, A. 2008. Forecasting Statewide Freight Toolkit. NCHRP Report 606. Transportation Research Board of the National Academies. Washington D.C.

 

FHWA 1. Freight Analysis Framework. Available from Internet: http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm.

 

FHWA 2. FAF Version 2.2 Available from Internet: http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/faf2userguide/index.htm.

 

FHWA 3. Geographic Areas for the Freight Analysis Framework and 2002 Commodity Flow Survey Available from Internet: http://www.ops.fhwa.dot.gov/freight/freight_analysis/faf/cfs_faf_areas.htm.

 

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UAH Office for Economic Development. 2005. Transportation Infrastructure in Alabama - Meeting the Needs for Economic Growth, Final Report on the Requirements for Infrastructure and Transportation to Support the Transformation of the Alabama Economy. Prepared for the Office of the Secretary, U.S. Department of Transportation, Grant No. DTTS59-03-G-00008.


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