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Developing Freight Analysis Zones at a State Level: A Cluster Analysis Approach

Author

Listed:
  • Harris, Gregory A.
  • Anderson, Michael D.
  • Farrington, Phillip A.
  • Schoening, Niles C.
  • Swain, James J.
  • Sharma, Nitin S.

Abstract

The ability to forecast freight to support transportation infrastructure decisions is limited by data availability at a level of detail meaningful to the transportation planner. The Freight Analysis Framework Version 2 is a national, comprehensive public freight database. The difficulty that transportation planners encounter when using this data is due to extensive aggregation. In this paper, the authors develop a methodology for creating freight analysis zones (FAZs) at a sub-state level by partitioning a state into meaningful zones that support freight transportation planning and analysis. The authors conclude that FAZs can be used effectively without degrading the quality of the forecasts.

Suggested Citation

  • Harris, Gregory A. & Anderson, Michael D. & Farrington, Phillip A. & Schoening, Niles C. & Swain, James J. & Sharma, Nitin S., 2010. "Developing Freight Analysis Zones at a State Level: A Cluster Analysis Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 49(1).
    • Handle: RePEc:ags:ndjtrf:207183
    DOI: 10.22004/ag.econ.207183
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    Cited by:

    1. Chandra, Aitichya & Sharath, M.N. & Pani, Agnivesh & Sahu, Prasanta K., 2021. "A multi-objective genetic algorithm approach to design optimal zoning systems for freight transportation planning," Journal of Transport Geography, Elsevier, vol. 92(C).

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    Public Economics;

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