Transport in EPDs: Get Cities, Modes, Distances Right

5 min read
Published: February 9, 2026

Chasing exact miles for every shipment is a time sink with little upside. Model transport once, well, and your A4 results become both realistic and verifier‑proof. The trick is to lock a consistent set of origin cities, choose defensible modes, and set representative distances you can reuse across product lines without getting lost in dispatch logs.

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Transport in EPDs: Get Cities, Modes, Distances Right
Chasing exact miles for every shipment is a time sink with little upside. Model transport once, well, and your A4 results become both realistic and verifier‑proof. The trick is to lock a consistent set of origin cities, choose defensible modes, and set representative distances you can reuse across product lines without getting lost in dispatch logs.

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Why transport modeling matters for specs

A4 is where many bids get won or quietly lost. Most U.S. freight journeys are shorter than 250 miles, which is why trucks dominate the near‑to‑market legs that show up in your EPDs (CRS R48594, 2025). By weight roughly 65 percent of freight moves by truck in the United States, and trucks generate about 44 percent of ton‑miles, so road assumptions need to be sharp (CRS R48594, 2025).

Start with cities, not street addresses

Pick plant or DC cities as fixed origins. Pick representative destination cities for each sales region. Modern LCA tools can calculate network or great‑circle distances from these city pairs, then scale by your annual sales mix. It is like setting home stadiums before the season so every game has a clear map.

Choose modes using evidence, not hope

Default to truck where you have regular lanes and short hauls. Use rail or water where volumes, lead time, and access justify it, then keep the last mile by truck. Document why each lane uses its mode mix and link it to actual service constraints, not aspirational modal shifts.

Distances that hold up in verification

Use one consistent method for all lanes, preferably road network distance for truck. If a PCR allows reasonable defaults, state the rule and the exception path. Record whether distances are round trip or one way, and whether fuel, payload, or refrigerant impacts are modeled separately.

Multimodal without the migraine

Break routes into legs. Truck to rail terminal. Rail line‑haul. Truck from terminal to jobsite. Assign distance and payload to each leg, then sum impacts. If containers or pallets sit in cold storage between legs, account for that energy use in the correct module so verifers do not bounce it back.

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Payload, backhaul, and temperature control

Set a standard payload by product family and vehicle class, then keep it stable unless you have better data. If you cannot prove backhaul, assume empty return only where the PCR requires it and say so plainly. Refrigerated or heated loads should flag added fuel or electricity with a short note on duty cycle.

When fuel records beat miles

If you have reliable diesel purchases tied to a lane, convert fuel to CO2 directly using 10.21 kg CO2 per gallon of diesel and skip distance math for that period (EPA Emission Factors Hub, 2025). Keep miles for activity tracking, fuel for emissions accounting, and reconcile the two quarterly.

Defaults you can defend

When raw data is thin, borrow from respected public sources and mark them as defaults. For example, keep a reference set that cites mode shares by distance band and updates annually to reflect national trends, then note where your operations differ in reality (CRS R48594, 2025). This is boring, which is exactly why auditors trust it.

Documentation that speeds verification

Write one page per product family that lists origins, destination cities, lane distances, mode splits, payloads, and any cold‑chain or special handling. Add a short change log. Review it each reference year. Teams new to EPDs will thank you, and seasoned reviewers will move faster because everything is in one place.

A quick lane‑building checklist

  1. Define origin and destination cities mapped to sales regions.
  2. Assign mode by leg with a short rationale and payload.
  3. Choose a single distance method and stick to it.
  4. Record fuel factors and any temperature control adders.
  5. Save calculations and assumptions in an auditable workbook.

The practical payoff

Consistent transport modeling removes guesswork and rework, so verification cycles shrink and sales can quote cleaner numbers. It also makes updates painless. Once the city list and lane logic are set, new products just plug in and recieve the same defensible treatment.

Frequently Asked Questions

How should manufacturers decide whether to model by distance or by fuel for transport impacts in EPDs?

Use distance when you lack lane-level fuel data or need comparability across products. Use fuel when you have accurate diesel or electricity usage for the lane. If using fuel, convert with 10.21 kg CO2 per gallon of diesel and document the period covered (EPA Emission Factors Hub, 2025).

What public data supports assuming truck as the default mode for short hauls in the U.S.?

Most freight journeys are under 250 miles and trucks carry the largest share by weight and a major share of ton‑miles in the U.S., which supports truck‑first assumptions for near‑market lanes (CRS R48594, 2025).

Do program operators require exact shipment logs to verify A4 transport?

No. PCRs and operator guidance typically allow reasonable, well‑documented assumptions for origins, modes, distances, and payloads. The key is consistency and clarity about what was assumed and why. If higher resolution data becomes available later, update the model in the next reference year.