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Federal Highway Administration
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Federal Highway Administration Research and Technology
Coordinating, Developing, and Delivering Highway Transportation Innovations
SUMMARY REPORT |
This summary report is an archived publication and may contain dated technical, contact, and link information |
Publication Number: FHWA-HRT-14-054 Date: January 2015 |
Publication Number: FHWA-HRT-14-054 Date: January 2015 |
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1. Report No.
FHWA-HRT-14-054 |
2. Government Accession No. | 3 Recipient's Catalog No. | ||
4. Title and Subtitle
National Multimodal Freight Analysis Framework Research |
5. Report Date January 2015 |
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6. Performing Organization Code | ||||
7. Author(s)
Andrew Berthaume and Tom Morton |
8. Performing Organization Report No. |
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9. Performing Organization Name and Address U.S. Department of Transportation Volpe Center, |
10. Work Unit No. (TRAIS) |
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11. Contract or Grant No. DTFH61-10-V-00031 and |
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12. Sponsoring Agency Name and Address
Federal Highway Administration |
13. Type of Report and Period Covered
Workshop Summary Report, December 2013 |
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14. Sponsoring Agency Code HRTM-30 |
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15. Supplementary Notes FHWA 's Contracting Officer 's Task Manager (COTM): Zachary Ellis, HRTM-30 |
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16. Abstract
Th is report summarizes a 1-day workshop held to discuss national mu ltimodal freight analysis framework (FAF) research . Participants discussed the state of the art, primary gaps in current capailities, and strategies for addressing these gaps, particularly in the areas ofmultimodal freight networks, freight-demand modeling, and origin- destination data disaggregation. The workshop was designed to identify a set of topics for further research and to ultimately inform the development of the FAF version 4, scheduled for release in late 2015, and beyond. The objectives of the workshop were to understand the nature and purpose ofFAF, outline a vision for the next generation of freight analysis, agree on primary gaps in current capabilities, and create a game plan to address gaps. Expert speakers presented historical background of the FAF, as well as perspectives on the state of the art in three specialized topics covered in focused sessions. |
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17. Key Words
Freight analysis framework, Exploratory Advanced Research, multimodal freight networks, models, freight-demand modeling, origin- destination data, next generation freight analysis, research gaps. |
18. Distribution Statement
No restrictions. This document is available to the public through the National Technical Information Service, Springfield, VA 22161. |
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19. Security Classification Unclassified |
20. Security Classification
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21. No. of Pages 36 |
22. Price N/A |
SI* (Modern Metric) Conversion Factors
On December 11, 2013, at the National Academies of Sciences' Keck Center in Washington, DC, the Federal Highway Administration's Office of Freight Management and Operations and the Exploratory Advanced Research Program hosted a 1-day workshop titled, "National Multimodal Freight Analysis Framework Research."
During the workshop, participants discussed the state of the art, primary gaps in current capabilities, and strategies for addressing these gaps, particularly in the areas of multimodal freight networks freight-demand modeling, and origin–destination (O-D) data disaggregation. The organizers designed the workshop to identify a set of topics for further research and to ultimately inform the development of the Freight Analysis Framework (FAF) version 4 (FAF4), scheduled for release in late 2015, and beyond.
The objectives of the workshop were to:
Expert speakers presented historical background of the FAF, as well as perspectives on the state of the art in three specialized topics covered in focused sessions. The topic sessions included:
Following the presentations on each of these three topics, the participants—including university, public, and private sector researchers—identified and discussed the most significant shortcomings in the current state of the art for national-level freight analysis and modeling and examined promising near- and long-term technical approaches.
FAF: Gaps in Current Capabilities
At its inception in the late 1990's, FAF was an internal tool for the U.S. Department of Transportation; however, it has gradually become a national resource of use to other researchers. As the Government develops the next generation of FAF, consideration should be given to both current and potential FAF users, their needs, and other possible applications of the FAF. This analysis will help scope the next generation of FAF for greater utility (e.g., for local and regional planners who need a greater level of granularity) and will identify those dimensions that should remain out of scope (e.g., data that raises privacy concerns should not be included in a publicly available FAF).
Workshop participants identified several opportunities regarding new methods for data, as follows:
Local-level details (e.g., local O-D data, local network data, local truck, local commodity truck, etc.) are not currently captured in the national FAF. Opening data for peer review and creating an architecture that allows information to be passed from the local level to the national level (i.e., establishing ground truth) could increase data validation.
Data mining could supplement current national-level freight data to capture temporal and seasonal variations or enable tracking of commodity flows—the current FAF displays only in mode-centric, O-D, and annual flows.
New automated methods for data mani-pulation could mitigate the variability of data quality—collected and reported on a State-by-State basis—and missing data, which limit the ability to support analysis of intermodal and national-level freight flows.
Workshop participants also identified potential opportunities regarding enhancing a national-level model for freight analysis, as follows:
Agent-based modeling could assist with the implications of cost and the volatility of cost over time and insights into mode choice.
Aforementioned enhanced data could provide the ability to assign flows along a multimodal routable network, creating a "flowable" network, that is, one that enables tracking of flows from any origin to any destination.
Welcome, Introductions, and Charge to Participants
Topic Session 1: Freight Analysis Framework Mission, Goal, and Objectives
Topic Session 2: Origin - Destination Generation
Topic Session 3: National Multimodal Network Assignment
Topic Session 4: Multimodal Routable Network
Freight Analysis Framework Issues
General Terms
CFS | commodity flow survey | |
EAR | Exploratory Advanced Research | |
FHWA | Federal Highway Administration | |
FAF | Freight Analysis Framework | |
FAF3 | Freight Analysis Framework version 3 | |
FAF4 | Freight Analysis Framework version 4 | |
FRA | Federal Railroad Administration | |
NCFRP | National Cooperative Freight Research Program | |
ORNL | Oak Ridge National Laboratory | |
O–D | origin–destination | |
USACE | U.S. Army Corps of Engineers |