Developing Freight Analysis Zones at a State Level: A Cluster Analysis Approach
Gregory Harris, Michael Anderson, Phillip A. Farrington, Niles C. Schoening, James J. Swain, Nitin Sharma
Abstract
Gregory Harris, Michael Anderson, Phillip A. Farrington, Niles C. Schoening, James J. Swain, Nitin Sharma
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 concl
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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 concl
Key concepts: Planner, Metropolitan area, Commodity, Transport engineering, Transportation planning, Plan (archaeology), Operations research, State (computer science)