scholarly journals Transportation Energy Futures Series: Freight Transportation Demand: Energy-Efficient Scenarios for a Low-Carbon Future

2013 ◽  
Author(s):  
Lance R. Grenzeback ◽  
Austin Brown ◽  
Michael J. Fischer ◽  
Nathan Hutson ◽  
C. R. Lamm ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Freight Transportation ◽  
Low Carbon ◽  
Transportation Energy ◽  
Transportation Demand ◽  
Energy Futures ◽  
Freight Transportation Demand

scholarly journals Transportation Energy Futures Series: Freight Transportation Modal Shares: Scenarios for a Low-Carbon Future

2013 ◽  
Author(s):  
James J. Brogan ◽  
Andreas E. Aeppli ◽  
Daniel F. Beagan ◽  
Austin Brown ◽  
Michael J. Fischer ◽  
...  
Keyword(s):  
Freight Transportation ◽  
Low Carbon ◽  
Transportation Energy ◽  
Energy Futures

scholarly journals Transportation Energy Futures: Freight Transportation Modal Shares: Scenarios for a Low-Carbon Future

2013 ◽  
Author(s):  
J. J. Brogan ◽  
A. E. Aeppli ◽  
D. F. Brown ◽  
M. J. Fischer ◽  
L. R. Grenzeback ◽  
...  
Keyword(s):  
Freight Transportation ◽  
Low Carbon ◽  
Transportation Energy ◽  
Energy Futures

Freight Planning Typology

1998 ◽  
Vol 1613 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Reginald Souleyrette ◽  
T. H. Maze ◽  
Tim Strauss ◽  
David Preissig ◽  
Ayman G. Smadi
Keyword(s):  
Full Range ◽  
Freight Transportation ◽  
System Capacity ◽  
Demand Model ◽  
Transportation Demand ◽  
Traffic Demand ◽  
Demand Modeling ◽  
Freight Traffic ◽  
Freight Transportation Demand

A layered architecture for freight transportation demand modeling entails the construction of a statewide freight transportation demand model by separately simulating traffic for one commodity at a time. Layers can then be added together to construct a comprehensive model that includes the most significant freight flows. Most state or regional economies are dominated by a few economic sectors, and models can be constructed for those sectors that generate the most freight traffic and/or are the most important to the regional economy. Freight traffic demand modeling in intercity applications is more likely to focus on economic development, local infrastructure improvements, maintenance, and similar policy and planning concerns than on system capacity issues. Thus, it is more important to understand changes in traffic growth by economic sector than as the composite of all freight traffic. This method is less data intensive and more easily understood by transportation professionals than previous approaches. The layered approach is therefore more likely to achieve the desired objectives than would general models, which attempt to forecast heterogeneous freight transportation demands simultaneously. This approach is demonstrated through a case study using the meat products and farm machinery industries in Iowa. Other commodities will be added in the future to complete a model of Iowa’s statewide freight transportation demand. A framework is presented for organizing and identifying planning goals, key issues, and predominant commodities for intercity freight transportation. Although examples are provided, specific recommendations addressing the full range of issues, data collection activities, tools, and urban applications are suggested for further study. A case study demonstrates the approach used for one issue, one mode, and two commodities, which could be repeated elsewhere for similar applications.

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