Freight Forecasts: Check Editions and Assumptions
“Keep the model edition and assumption date beside the planning decision, so reviewers can see which part still needs a current buyer record.”
Evaluating Macroeconomic Scenario Assumptions and Model Editions
The November 2022 FAF Version 5 forecast study describes FAF5.2 projections built from a 2017 data base year, with forecasts for 2020, 2022, 2023, 2025 and later horizons through 2050. Its macroeconomic assumptions were developed in April 2021, incorporating the recession and recovery information available at that time. The publication date, base year and assumption date describe different parts of the model. A buyer reviewing this historical edition should retain all of them in the planning record, because an updated presentation date would not update those underlying assumptions.
The baseline assumptions in that report describe an economy without a major mishap through 2050 and identify examples of disruptions outside that baseline path, including large oil-price shocks and unforeseen macroeconomic policy changes. This is the stated boundary of that particular case. Before adopting it, ask which risks the buyer’s planning case addresses separately and who owns the corresponding response. Keep the high- and low-growth cases under their stated assumptions; attach no probability to either case without a separately supported probability model.
The Scenario-Assumption Diagnostic Register
To prevent teams from confusing long-term public scenario benchmarks with immediate procurement realities, category managers should maintain an explicit scenario-assumption register before presenting lane projections to executive stakeholders or carrier partners. Establishing structured governance over macroeconomic vintages clarifies model boundaries, which aligns with broader organizational practices in supplier risk assessment methodologies.
| Register field | What the buyer records | Review action |
|---|---|---|
| Edition and document | Exact dataset/release and the method document used; preserve the retrieved files. | Confirm that the selected forecast belongs to the named edition. |
| Data base year | Observation period used to construct the underlying dataset. | Keep it distinct from the publication and retrieval dates. |
| Assumption date | Date of the economic inputs and any later documented revisions. | Ask the planning owner which later developments require a separate adjustment. |
| Scenario | Named baseline, high-growth or low-growth case and its stated premises. | Record the reason for selection; do not invent a likelihood. |
| Units and geography | Weight/value units, price basis, commodity definitions and geographic boundaries. | Reconcile these with the buyer’s lane, product and load definitions before arithmetic. |
| Horizon | Period represented by the selected model output and the buyer’s planning decision. | Check that the planning use fits the output’s time scale. |
| Shock assumptions | Disruptions included or omitted in the named case, with the source passage. | Compare them with the buyer’s risk register and unresolved dependencies. |
| Private buyer forecast | Shipment demand, load characteristics, operating schedules and relevant carrier terms. | Identify the internal owner and evidence needed for the procurement decision. |
| Refresh owner and trigger | Named reviewer, the input being monitored, and a condition that reopens the decision. | Document the next action when that condition occurs; choose the timing for this decision. |
Authored review aid, with fields awaiting the buyer’s actual records. It supplies no benchmark values, universal review frequency, current forecast or carrier commitment.
Understanding Document Scopes and Conversion Methodologies
Procurement teams frequently combine different federal freight publications without accounting for differences in scope and methodology. Agency presentations like the FAF5 data overview webinar highlight that while public models provide valuable multi-scale multimodal perspectives across 42 commodity groups, they are not tailored to specific local operating regions and may lack granularity for local-scale operational decisions. Furthermore, planners looking to translate annual freight weights into operational vehicle counts must examine historical technical documentation, such as the truck payload factor methodology, which developed procedures to convert annual tonnage flows into daily truck movements across network segments.
The July 2026 FAF Version 6 user’s guide defines a Zone of Entry as the entire FAF region or state where an import enters the United States, rather than a single location. It also describes updated historical state-level base-year products as planned under the newer methodology and data sources. Retain the date of that statement when reviewing the guide; it does not establish the availability of those products today. Before joining an older forecast to a later dataset, obtain the relevant definitions and any documented crosswalk, and identify which comparison remains unresolved.
| Document Title & Citation | Publication Vintage | Primary Scope & Subject Focus |
|---|---|---|
| FAF5 Final Forecasting Results | November 2022 | Long-term commodity flow projections from 2017 base through 2050 across macroeconomic scenarios |
| FAF6 User Guide | July 2026 | Data dictionary, geographic zone definitions, and access conventions for regional datasets |
| FAF5 Overview Webinar | July 2022 | Base year data overview, web tool demonstration, and analytical strengths and limitations |
| Payload Factors Report | April 2020 | Methodologies for out-of-scope commodity flows and converting annual tons to daily trucks |
Compares publication vintages and structural focus across official freight analysis reference documents.
How should teams govern an automated scenario review?
Operational Safeguards and Implementation Boundaries
Prepare the private records before bringing the planning case to a carrier discussion. Assign an owner for the shipment-demand file, another for operational constraints where those responsibilities differ, and a reviewer for the carrier terms. Include the required service window, load characteristics, equipment requirements and any known acceptance conditions. Ask which fields are verified, which are estimates and which still need an answer. The supplier relationship management guide provides related context for keeping responsibilities and agreements visible. When discussing an offered service, record the carrier’s actual response and its scope alongside the planning assumptions. Keep an unresolved commercial requirement visible until its owner has obtained the necessary evidence.
For a proposed warehouse lane, walk through the register with the planning owner before inviting a carrier to respond. Start with the document and the selected scenario, then reconcile the commodity, geography, unit and horizon with the lane being discussed. Have the operations owner explain the proposed loading calendar and the assumptions behind the company’s shipment forecast. Where a field is unresolved, name the evidence needed and the person who will obtain it. The next review can then revisit that field directly instead of treating an unchanged macroeconomic chart as confirmation that the operating requirement has been met.
Frequently asked questions
What macroeconomic cutoff date drives FAF5 forecasting scenarios?
Projections in the FAF Version 5 forecast study are based on macroeconomic trends and data available through April 2021, incorporating recovery assumptions from that period.
Can freight buyers treat FAF baseline scenarios as predictive probability distributions?
The FAF5 report describes the baseline’s assumptions and alternative growth cases. Use those named cases as documented scenarios. A buyer should not assign a probability to a case unless separate evidence supports that probability.
How do FAF models convert annual commodity tonnage into vehicle volumes?
The historical truck payload factors report describes methods for converting annual origin-destination commodity weight into truck flows. A buyer considering that conversion must review the method and payload assumptions for the specific use, then obtain the private operating records needed for a service decision.
Sources
- Freight Analysis Framework Commodity Flow Forecast Study (FAF Version 5): Final Forecasting Results — Paul Bingham; Aleksandra Maguire; Larry O’Rourke; Birat Pandey, Federal Highway Administration, 2022. Historical evidence (official report): Version/assumption register, source applicability, units and private buyer-record boundaries.
- Freight Analysis Framework Version 6 User’s Guide — Bureau of Transportation Statistics; Hyeonsup Lim; Majbah Uddin, Bureau of Transportation Statistics, 2026. Current empirical evidence (official report): Version/assumption register, source applicability, units and private buyer-record boundaries.
- Freight Analysis Framework (FAF5): Overview of Base Year/Forecasted Data and Tools — Federal Highway Administration, 2022. Historical evidence (official report): Version/assumption register, source applicability, units and private buyer-record boundaries.
- Research, Development, and Application of Methods to Update Freight Analysis Framework Out-of-Scope Commodity Flow Data and Truck Payload Factors — Christopher Lindsey; Daniel Beagan; Krishnan Viswanathan, Federal Highway Administration, 2020. Foundational evidence (official report): Version/assumption register, source applicability, units and private buyer-record boundaries.