Scope 3 Cat 4 Rail Freight Calculator (EU / NA / India · Diesel / Electric)
Compute well-to-wheel rail-freight emissions under the GLEC Framework v3.2 — per tonne-km by region, traction, and commodity profile, with the diesel-versus-electric electrification scenario built in.
Activity formula.
Freight emissions (kg CO₂e) = Mass (tonnes) × Distance (km) × WTW intensity (kg CO₂e per tonne-km)
Rail freight uses a single activity unit throughout — the tonne-kilometre. Every rail row is priced per tonne-km on a well-to-wheel basis, so legs add together cleanly with no unit conversion.
Region, traction, commodity. The European set is the deepest: it carries both diesel and electric traction across ten commodity profiles, so the European selection axis is traction × commodity. North America is modelled as a single diesel average, and India as a single mixed-traction average — both are regional defaults with no traction or commodity choice. Where you can identify the lading, select the commodity that matches it; where you cannot, the mixed-merchandise average is the defensible default.
Commodity profile changes the factor. Dense, single-commodity flows like coal and steel (0.0204 kg CO₂e/tonne-km, EU diesel) sit below mixed merchandise (0.0307) because heavy bulk loads the wagon close to its weight limit, spreading the train’s fuel burn over more tonne-km. Light or awkward loads such as finished cars (0.0660) sit far higher — the wagon fills by volume long before it reaches its weight capacity, so each tonne carries more of the haul.
Diesel versus electric — the electrification scenario. For the European commodity rows the calculator reports both a diesel figure and an electric figure. Electric traction runs roughly 65% below diesel for the same commodity (mixed merchandise: 0.0108 electric versus 0.0307 diesel). The electric value carries its entire footprint upstream — tank-to-wheel is zero because no fuel burns on the train; the emissions are in generating the electricity. This electric figure is fixed at the GLEC 2025 European average generation mix; it is not coupled to your own traction grid. Treat it as indicative for non-European corridors, where the local generation mix can move the number substantially — see the limitations note for how to disclose that.
Well-to-wheel basis. Each headline value is the well-to-wheel intensity on an AR6 GWP-100 basis — the full upstream-energy-plus-traction footprint. The well-to-tank and tank-to-wheel components are published alongside each diesel and electric row and are reported as fixed figures in worked examples rather than user-variable inputs.
Category boundary. This calculator covers upstream transport and distribution (GHG Protocol Scope 3 Category 4) by rail. The same GLEC rail factors apply to downstream distribution under Category 9 — identical arithmetic, different category line. Road, sea, air, and last-mile freight use their own factor sets and are out of scope here.
GLEC Framework v3.2 — kg CO₂e per tonne-km, well-to-wheel (AR6 GWP-100), with the upstream/operations split where published. Reads MasterBrain V3 live.
Add a rail leg above and click Calculate
Results appear with a well-to-tank / tank-to-wheel split, per-leg breakdown, data-quality scoring, an electrification scenario, audit trail, and export.
Results are indicative and for organisational greenhouse-gas accounting under the GHG Protocol Scope 3 Standard (Category 4). GLEC Framework v3.2 rail intensities are well-to-wheel (AR6 GWP-100) in kg CO₂e per tonne-km; electric traction is reported entirely as upstream (grid) emissions at the GLEC 2025 EU average generating mix and is indicative for other networks. GLEC freight CO₂e is published as an aggregate with no per-gas decomposition. Verify the boundary, allocation, traction and rail-network distance basis against your operator data before external reporting; for assured disclosure obtain third-party verification under ISO 14064-3.
Rail is the quiet workhorse of low-carbon freight. Per tonne-kilometre it is the least carbon-intensive powered land mode — a fraction of road haulage and orders of magnitude below air — which is exactly why shifting freight onto rail is one of the most cited levers in a transport decarbonisation plan.
But “rail is low-carbon” is not a number you can disclose — the factor swings with traction, commodity, and region, and getting that selection right is the difference between a defensible figure and a guess.
Rail-freight emissions equal cargo mass (tonnes) × distance (km) × the GLEC tonne-km intensity for the region, traction, and commodity. EU mixed-merchandise rail runs at 0.0307 kg CO₂e/tonne-km on diesel and about 0.0108 on electric — roughly 65% lower.
What rail freight covers in Scope 3 Category 4
GHG Protocol Scope 3 Category 4 — upstream transportation and distribution — covers the movement of purchased goods between a company’s tier-1 suppliers and its own operations, plus the third-party logistics the reporting company pays for. Rail is the mode used for the heavy, distance-spanning middle of a supply chain: bulk commodities, intermodal containers, automotive, and chemicals moving overland where road would be slower, costlier, and far more carbon-intensive.
Category 4 vs Category 9 — same factors, different direction
The line between Category 4 and Category 9 is the direction of the goods flow, not the arithmetic. Category 4 is upstream — transport the reporting company pays for, bringing goods in. Category 9 is downstream — transport of sold products after they leave the company’s control. The GLEC rail intensities are identical across both; the only difference is which Scope 3 category line the result is booked to. A rail operator reporting its own diesel burn books it to Scope 1; a shipper buying rail capacity books the same tonne-km to Scope 3 Category 4.
Mode boundary — what’s in, what’s elsewhere
| Covered in this calculator | Out of scope — separate freight mode |
|---|---|
| Diesel-traction rail across ten EU commodity profiles, per tonne-km | Road freight — heavy goods vehicles by region, class, load, and fuel: see the Road Freight Calculator |
| Electric-traction rail across the same EU commodity profiles, per tonne-km | Sea freight — bulk, tanker, RoRo per tonne-km and container per TEU-km: see the Sea Freight Calculator |
| North America (single diesel average) and India (single mixed-traction average) regional defaults | Air freight — bellyhold and freighter by haul length: see the Air Freight Calculator |
| The rail leg of an intermodal journey | Last-mile delivery — van and small-vehicle factors on a per-km basis (separate calculator, in development) |
| Both the upstream Category 4 and downstream Category 9 framing of a rail leg | Cold-chain logistics — refrigerated rail adds reefer-energy and refrigerant-leakage components (separate calculator, in development) |
Rail is the lowest-intensity powered land freight mode by a wide margin. EU mixed-merchandise rail on diesel runs at 0.0307 kg CO₂e per tonne-km — roughly a third of a typical articulated truck (0.101) — and the electric equivalent is lower still at about 0.0108. In any inventory that mixes modes, rail legs almost always punch well below their tonnage share, which is why modal shift to rail is such a heavily relied-on decarbonisation lever.
Diesel vs electric — the electrification scenario
The single most useful feature of the rail set is that it lets you see the same freight moved two ways: hauled by a diesel locomotive, or by an electric one drawing from the grid. For every European commodity profile the calculator reports both, so you can quantify the emissions difference of electrified versus diesel haulage on the same lane.
Electric runs roughly 65% below diesel
Across the European commodity rows, electric traction lands about 65% below the diesel figure for the same commodity. Mixed merchandise is 0.0307 kg CO₂e/tonne-km on diesel and 0.0108 on electric; coal and steel are 0.0204 diesel and 0.0073 electric. The reduction holds across the set, with the largest gaps on the intermodal profiles where electrified high-speed corridors are most efficient.
Why the electric figure is all upstream
An electric locomotive burns no fuel on the rails, so its tank-to-wheel — the at-the-train combustion emissions — is zero. The entire footprint sits in well-to-tank: the emissions of generating the electricity that powers the train. That is the mirror image of diesel, where most of the footprint is tank-to-wheel combustion. It also means the electric figure is only as clean as the generation mix behind it.
The electric figure is fixed at the GLEC 2025 European average generation mix — the calculator does not couple it to your own traction grid. Real electric rail on a low-carbon grid runs cleaner than the figure shown; on a coal-heavy grid it runs higher. For a corridor outside Europe, treat the electric number as indicative and, if the difference is material, disclose that you applied the European-average electric factor rather than a local-grid figure. Do not present the electric figure as a grid-specific result — it is a single fixed EU-mix value.
Use the diesel and electric pair as a scenario, not just a factor. Reporting both for a lane you are considering electrifying — “this corridor at 0.0307 on diesel versus 0.0108 on electric” — turns the calculator into a modal-shift business case, and the gap is the abatement you can attribute to the switch. State the electric figure’s European-average basis when you do.
Why commodity profile changes the factor
Rail is the only freight mode where the GLEC factor segments by what is being hauled rather than by vehicle class. The reason is loading: a wagon’s intensity per tonne-km depends on how fully it is loaded, and that is governed by the density of the commodity.
Dense, single-commodity flows load the wagon to its weight limit and spread the train’s fuel burn over the most tonne-km, so they sit at the bottom of the range. Light or bulky goods fill the wagon by volume long before they reach the weight limit, carrying fewer tonnes for the same haul and pushing the intensity up. The spread across the European diesel commodity set is 3.3× from end to end.
EU diesel traction, GLEC Framework v3.2, well-to-wheel, AR6 GWP-100. Like-for-like traction isolates the commodity effect; the electric column for each profile runs roughly 65% lower.
Pick the profile that matches the lading, not the average, where you can identify it. A coal or steel flow modelled as mixed merchandise overstates its emissions by about a third; a finished-cars flow modelled as the average understates by more than half. The mixed-merchandise average is the honest default only when the commodity genuinely is mixed or unknown — not a shortcut to avoid the selection.
How the calculation works — activity × WTW intensity
Each leg reduces to one multiplication, run per leg and summed into the absolute emissions total at the end:
kg CO₂e = Mass (tonnes) × Distance (km) × WTW intensity (kg CO₂e per tonne-km)
The activity spine
The activity is cargo mass in tonnes multiplied by the rail distance in kilometres. Rail uses a single activity unit throughout — the tonne-kilometre — so unlike sea container freight there is no TEU-km complication, and unlike air there is no fixed distance uplift. Enter the routed rail distance for the leg; the calculator multiplies straight through.
Well-to-tank, tank-to-wheel, well-to-wheel
Well-to-tank (WTT)
The upstream emissions before traction — extracting and refining diesel, or generating and delivering the electricity. For electric rail this is the entire footprint; see the well-to-tank definition for the accounting boundary.
Tank-to-wheel (TTW)
The traction emissions on the line. For diesel, this is the combustion of the fuel and the larger share of the well-to-wheel total. For electric, tank-to-wheel is zero — no fuel burns on the train.
Why WTW is the headline
Scope 3 Category 4 requires the full upstream-and-traction footprint of the transport service. The well-to-wheel total is the figure that feeds the inventory; reporting traction alone would understate diesel and would zero out electric entirely.
Region, traction, commodity — the three selectors
In Europe the selection is traction (diesel or electric) and commodity profile, and the calculator returns the matching CO₂e intensity. North America and India are single regional averages with no further selection. Where neither traction nor commodity is known for a European leg, the mixed-merchandise profile on the traction you can identify is the defensible modelled default.
Regions — EU depth, NA and India defaults
The three regions are not modelled at the same depth, because the underlying GLEC data is not equally granular across them. Europe carries the full diesel/electric × commodity matrix; North America and India each resolve to a single average.
| Region | Traction | Commodity profiles | What to select |
|---|---|---|---|
| Europe | Diesel and electric, both reported | Ten profiles, cereals through finished cars | Choose traction and commodity to match the lane |
| North America | Diesel average only | Single mixed average (0.0161 kg CO₂e/tonne-km) | Regional default — no further selection |
| India | Mixed-traction average only | Single mixed average (0.0106 kg CO₂e/tonne-km) | Regional default — no further selection |
The North American figure (0.0161) reflects the diesel-dominated US and Canadian network; the Indian figure (0.0106) reflects a network where electric traction already carries a large share of freight tonne-km, which is why the single Indian average sits below the North American diesel one. For a European lane the European matrix is always the better choice than borrowing a regional average — it captures the traction and commodity detail the other regions do not expose. There is also a European mixed-traction regional default (0.0184 kg CO₂e/tonne-km, well-to-wheel) for the case where even the traction is unknown; it is published as a single combined figure without a separate upstream and traction split.
Where rail sits — rail vs road, sea, and air
The most common question a rail figure raises is how it compares to the alternative modes for the same goods. On a per-tonne-km basis rail is far below road and air, and broadly comparable to — though usually above — large bulk shipping. The chart below sets EU mixed-merchandise diesel rail against a representative leg of each other mode.
Representative legs, GLEC Framework v3.2, well-to-wheel. The air figure is a long-haul freighter — air freight spans a wide range (short-haul and bellyhold legs run higher still), so this is one point in the air set, not a flat “air” number. The sea figure is a large Panamax bulker; smaller vessels run several times higher.
The practical reading: rail is roughly a third of road haulage and around one-twentieth of a long-haul air freighter per tonne-km. A tonne of goods that could move by rail instead of road avoids about two-thirds of the transport emissions for that leg, which is why modal shift to rail is a recurring line in transport decarbonisation plans. Sea remains lower still for the bulk it suits, but it is not an overland substitute for rail.
Worked example — a diesel + electric corridor
This example reproduces against the live calculator. It combines an electrified mixed-merchandise leg and a diesel coal-and-steel leg in one corridor — the realistic shape of an intermodal flow that runs electrified across the core network and switches to diesel haulage on a non-electrified branch. All factors are GLEC Framework v3.2 well-to-wheel intensities on an AR6 GWP-100 basis. Both legs use European factors.
Leg A — EU electric, mixed merchandise
| Region / traction / commodity | Mass | Distance | WTW intensity | Tonne-km | Emissions (kg CO₂e) |
|---|---|---|---|---|---|
| EU · electric · mixed merchandise | 500 t | 1,200 km | 0.0108 kg/t-km | 600,000 | 6,480 |
Tonne-km = 500 × 1,200 = 600,000. Emissions = 600,000 × 0.0108 = 6,480 kg CO₂e (6.48 tCO₂e). WTW 0.0108 = WTT 0.0108 + TTW 0.0 — the entire footprint is upstream electricity generation; nothing burns on the train. Electric figure is at the GLEC European-average generation mix.
Leg B — EU diesel, coal & steel
| Region / traction / commodity | Mass | Distance | WTW intensity | Tonne-km | Emissions (kg CO₂e) |
|---|---|---|---|---|---|
| EU · diesel · coal & steel | 500 t | 300 km | 0.0204 kg/t-km | 150,000 | 3,060 |
Tonne-km = 500 × 300 = 150,000. Emissions = 150,000 × 0.0204 = 3,060 kg CO₂e (3.06 tCO₂e). WTW 0.0204 = WTT 0.0047 + TTW 0.0157 — diesel carries most of its footprint as on-line combustion, the reverse of the electric leg.
Corridor rollup
Both legs share the same tonne-km unit, so the activity figures add cleanly: 600,000 + 150,000 = 750,000 tonne-km, and the emissions sum to 9.54 tCO₂e. Note the electrified leg carries the larger share of emissions (68%) despite the lower intensity — it moves four times the distance, and tonne-km, not intensity alone, drives the total. The leg-level intensities are the right place to find abatement, but the corridor total is what the inventory books.
Data quality and the GLEC default hierarchy
GLEC frames freight data quality as a hierarchy from primary measured energy down to modelled defaults. The reporting expectation is to climb the hierarchy where the emissions are material — though for rail, the lowest-intensity land mode, the material gains usually come from getting the modal-shift decisions right rather than from refining an already-small factor.
| Tier | Input shape | When it applies |
|---|---|---|
| Primary energy | Measured or operator-reported diesel litres or traction-kWh for the shipment, converted via energy factors | Where the operator shares per-shipment fuel or electricity data — the most precise basis |
| Primary activity + modelled intensity | Actual mass and distance with the GLEC region/traction/commodity intensity | The default for most reporting — actual activity, modelled factor. This calculator’s primary mode. |
| Modelled default — commodity unknown | Actual mass and distance with the mixed-merchandise profile on the known traction | Where the lading is not identified but traction is — a forwarder-booked intermodal leg |
| Regional default | Actual mass and distance with the regional average (NA diesel, India mixed, or the EU mixed-traction average) | The fallback where neither traction nor commodity is known, or outside the European matrix |
The honest disclosure is the mix. A rail inventory that uses commodity-specific factors where the lading is known and the mixed-merchandise default where it is not is well constructed. Claiming commodity-specific precision across every flow when most are modelled as the average is the disclosure failure, not the use of defaults.
Audit checklist — what gets flagged in rail assurance
Rail-freight assurance under ISO 14083 and ISAE 3000 traces each leg from activity data to the rolled-up total. The findings below are the most common substantive issues raised on a rail inventory specifically.
01 — Electric figure treated as grid-specific
Reporting the electric factor as if it reflected the corridor’s own traction grid. The calculator’s electric value is fixed at the GLEC European-average mix. For a non-European corridor, disclose that the European-average electric factor was applied, or source a local-grid figure separately.
02 — Commodity defaulted to mixed when known
Modelling an identifiable single-commodity flow (coal, steel, cars) as mixed merchandise. This overstates dense bulk and understates light loads. Match the commodity profile to the lading where it is known; reserve the average for genuinely mixed or unknown flows.
03 — Electric emissions reported as zero
Treating electric rail as zero-carbon because nothing burns on the train. The footprint is real — it sits entirely in upstream generation. Confirm the headline factor is well-to-wheel, not tank-to-wheel, so the generation emissions are captured.
04 — Wrong region borrowed for a European lane
Applying the North American or Indian regional average to a European corridor, or vice versa. The regional defaults are coarse single averages; a European lane should use the European traction/commodity matrix, which is both more accurate and more defensible.
05 — Diesel WTT dropped
Reporting only the tank-to-wheel combustion of a diesel leg and omitting the upstream fuel-production share. Scope 3 Category 4 requires the full well-to-wheel intensity. Confirm the diesel headline is WTW, not TTW alone.
06 — Distance taken as crow-flies
Using straight-line distance instead of the routed rail distance, which understates tonne-km on a network that rarely runs direct. Use the actual rail routing distance for the leg, not point-to-point geographic distance.
Reporting context — Scope 3, GLEC/ISO 14083, IFRS S2, CSRD
Rail-freight emissions feed several disclosure regimes through the same GLEC calculation. The four framework rows below cover the disclosure surface a typical shipper or forwarder navigates.
| Framework | Role for rail-freight emissions | Disclosure cadence |
|---|---|---|
| GHG Protocol Scope 3 Standard | The accounting standard. Defines Category 4 (upstream transport & distribution) and Category 9 (downstream) and sets the activity-data and average-data method options. | Same as the institution’s reporting cycle |
| GLEC Framework v3.2 | The methodology standard. Specifies the well-to-wheel intensities by region, traction, and commodity that this calculator applies, structured to align with ISO 14083, the international transport-chain emissions standard. | Annual factor refresh |
| IFRS S2 (ISSB) | The global disclosure baseline. Requires Scope 3 disclosure including transport categories where material, with the calculation methodology disclosed. | Annual, aligned with financial statements |
| CSRD ESRS E1 (EU) | The EU sustainability-reporting mandate. ESRS E1 requires Scope 3 disclosure for in-scope companies, with transport and distribution among the categories assessed for materiality. | Annual sustainability statement |
GLEC, ISO 14083, and the rail factor basis
GLEC v3.2 structures its rail intensities to align with ISO 14083, the international transport-chain emissions methodology. A calculation built on GLEC rail factors is therefore broadly ISO 14083-conformant — an internationally standardised basis rather than a proprietary one, which assurers and disclosure regimes increasingly expect for transport emissions. Unlike aviation, rail has no sector-specific offsetting scheme layered on top; the corporate-disclosure frameworks above are the whole picture for a shipper’s rail reporting.
Data sources, factor versioning, and GWP basis
Rail intensities — source and structure
The rail-freight intensities are drawn from GLEC Framework v3.2, retrieved for the MasterBrain factor set in May 2026. The set spans three regions: a deep European matrix of ten commodity profiles across diesel and electric traction, plus single regional averages for North America (diesel) and India (mixed traction). Every row is a well-to-wheel intensity on an AR6 GWP-100 basis, per tonne-km. The diesel and electric commodity rows carry published well-to-tank and tank-to-wheel components, reported as fixed figures in worked examples rather than user-variable inputs; the European mixed-traction regional average is published as a single combined figure without that split.
GWP basis — a single clean basis
The entire rail set uses AR6 GWP-100 — the IPCC Sixth Assessment Report’s 100-year global warming potentials, the current GLEC convention, aligned with the GHG Protocol’s expected basis. Because the calculator is GLEC-only and does not blend in factors from other publishers, there is no mixed-basis reconciliation to manage here: every rail figure is on the same AR6 footing. See the global warming potential definition for the AR5-to-AR6 distinction that matters when rail figures are later combined with factors carrying a different basis.
The electric factor’s generation basis
The electric-traction figures embed the GLEC 2025 European-average electricity generation mix; they are not recomputed against a user-supplied grid factor. Real-world electric rail intensity tracks the local electricity emission factor of the traction grid, which varies widely — a point worth understanding when applying the European-average electric figure to a corridor on a markedly cleaner or dirtier grid. For context on how grid factors differ by country, see the grid emission factors reference; note that this is background, not an input the rail calculator reads.
Versioning and update cadence
GLEC publishes factor refreshes annually, and the MasterBrain factor set tracks each publication. The calculator stamps each result with the MasterBrain version against which it was computed, so a leg computed against one factor vintage and the same leg recomputed against a later vintage are distinguishable in restatement work. The GLEC Framework version (v3.2) is independent of the underlying factor vintage — a methodology version applies across successive annual refreshes until the next framework revision ships.
What’s next — completing your Category 4 transport inventory
Rail is the lowest-intensity mode but rarely the only one in a chain; a complete Category 4 footprint spans every mode the supply chain uses. Each mode follows its own factor set and, in the case of sea, its own activity units. The road, sea, and air calculators are live; the remaining modes are on the GreenCalculus build roadmap.
Live
Road Freight
GLEC v3.2 road set. Tonne-km × WTW intensity by region, class, load, and fuel.
Live
Sea Freight
GLEC v3.2 sea set. Per-tonne-km for bulk, tanker, and RoRo; per-TEU-km for container.
Live
Air Freight
GLEC v3.2 air set. Per-tonne-km by aircraft deck and haul length.
Live
Rail Freight
GLEC v3.2 rail set. Per-tonne-km by region, traction, and commodity, with the diesel/electric scenario. The calculator on this page.
Live
Last-mile delivery
Van and small-vehicle factors — per kilometre, not per tonne-km. A different unit basis.
Live
Cold-chain logistics
Refrigerated freight adds reefer-energy and refrigerant-leakage components on top of the transport intensity.
Live
GHG Inventory Aggregator
Roll Category 4 together with every other Scope 1, 2 and 3 source into one auditable corporate carbon footprint — the organisation-level inventory this category feeds into.
Separately from the upstream Category 4 modes above, downstream transport and distribution — the movement of sold products after they leave the company’s control — is accounted under Scope 3 Category 9, not Category 4. It uses the same GLEC rail intensities but books to a different category line. A dedicated downstream transport calculator is on the roadmap and is not yet published.
Frequently asked questions
For the same European commodity, electric traction runs roughly 65% below diesel. Mixed merchandise is 0.0307 kg CO₂e/tonne-km on diesel and 0.0108 on electric; coal and steel are 0.0204 diesel and 0.0073 electric. The electric figure carries its entire footprint upstream — tank-to-wheel is zero — and is fixed at the GLEC European-average generation mix, so it is indicative rather than grid-specific for corridors outside Europe.
No. Nothing burns on the train, so tank-to-wheel emissions are zero, but the well-to-wheel footprint is real and sits entirely in generating the electricity. EU electric mixed-merchandise rail is about 0.0108 kg CO₂e/tonne-km. Reporting electric rail as zero-carbon is an assurance finding — confirm the factor used is well-to-wheel so the upstream generation emissions are captured.
Rail intensity per tonne-km depends on how fully the wagon is loaded, which is governed by commodity density. Dense bulk like coal and steel (0.0204 kg CO₂e/tonne-km, EU diesel) loads to the weight limit and spreads the fuel burn over the most tonne-km; light or bulky loads like finished cars (0.0660) fill by volume first, carrying fewer tonnes. The spread across the EU diesel set is 3.3× from cereals to cars.
No. The calculator’s electric figure is fixed at the GLEC 2025 European-average generation mix; it is not coupled to your traction grid. On a low-carbon grid real electric rail runs cleaner than the figure shown, and on a coal-heavy grid it runs higher. For a non-European corridor, treat the electric number as indicative and disclose that the European-average electric factor was applied rather than a local-grid value.
Rail is far lower-intensity. EU mixed-merchandise diesel rail at 0.0307 kg CO₂e/tonne-km is roughly a third of an articulated truck (0.101) and about one-twentieth of a long-haul air freighter (0.608). Moving a tonne by rail instead of road avoids about two-thirds of the transport emissions for that leg, which is why modal shift to rail is a recurring decarbonisation lever.
Match the region to where the leg runs. Europe carries the full diesel/electric × ten-commodity matrix and is the most accurate choice for a European lane. North America resolves to a single diesel average (0.0161 kg CO₂e/tonne-km) and India to a single mixed-traction average (0.0106); both are coarse regional defaults with no traction or commodity selection. Do not borrow a regional average for a lane in a different region.
Use the mixed-merchandise average (0.0307 kg CO₂e/tonne-km, EU diesel) on the traction you can identify. It is the honest default for genuinely mixed or unidentified flows. Where you can identify a single-commodity flow, use the matching profile instead — modelling coal or steel as mixed overstates it by about a third, and modelling finished cars as mixed understates it by more than half.
Enter the routed rail distance for the leg — the actual distance over the network, not the straight-line geographic distance between origin and destination. Rail routings rarely run direct, so crow-flies distance understates tonne-km and emissions. Unlike the air calculator, there is no fixed distance uplift; the figure you enter is multiplied straight through.
The calculator computes both identically — the GLEC rail intensities are the same. The difference is the direction of the goods flow and the category line the result is booked to. Category 4 is upstream transport the reporting company pays for, bringing goods in. Category 9 is downstream transport of sold products after they leave the company’s control. Use this calculator for either and book the result to the correct category for your reporting boundary.
Steel wheels on steel rail have very low rolling resistance, and a single train moves a large mass per unit of energy, so the fuel or electricity burned spreads across many tonne-km. That physical efficiency makes rail the lowest-intensity powered land mode — below road by roughly a factor of three and below air by more than an order of magnitude — and electrification lowers it further by moving the footprint to the grid.
Methodology notes and limitations
Methodology version. Calculator implements the GLEC Framework v3.2 rail-freight intensities (retrieved May 2026), structured to align with ISO 14083. Results are computed on an AR6 GWP-100 basis. Inventories computed against earlier factor vintages remain auditable against the corresponding MasterBrain version stamp.
Mode boundary. Rail freight only — three regions (EU, North America, India), diesel and electric traction in Europe, single regional averages elsewhere, all per tonne-km. Road, sea, air, and last-mile freight use separate factor sets and are out of scope.
Electric factor is European-average, not grid-coupled. The electric-traction figures embed the GLEC 2025 European-average generation mix. The calculator does not recompute the electric factor against a user-supplied or local grid factor. For a corridor on a markedly cleaner or dirtier grid than the European average, treat the electric figure as indicative and disclose that the European-average electric factor was applied. This is the main limitation to surface in a non-European rail disclosure.
WTW headline; WTT/TTW fixed components. The calculator computes the well-to-wheel total. For the diesel and electric commodity rows, the well-to-tank and tank-to-wheel components are published by GLEC alongside each row and are reported as fixed figures; they do not vary with user inputs. The European mixed-traction regional average is published as a single combined well-to-wheel figure with no separate upstream/traction split.
Commodity and traction drive the factor. The European set segments by commodity profile (a 3.3× spread on diesel from cereals to finished cars) and by traction (electric roughly 65% below diesel). Match both to the lane where you can; reserve the mixed-merchandise average for genuinely mixed or unknown flows.
Single AR6 basis. The rail set is GLEC-only and uniformly AR6 GWP-100. There is no mixed-basis reconciliation within this calculator. A reconciliation question arises only if rail figures are later combined in an inventory with factors carrying a different basis.
Activity data taken as entered. The calculator uses the mass and routed distance the user enters; it does not independently verify them. The user is responsible for the activity-data basis and for documenting the region, traction, and commodity selection per leg.
No assurance opinion. Results are estimates and do not constitute an assurance opinion. They should be reviewed by a qualified practitioner before use in IFRS S2 disclosures, CSRD ESRS E1 datapoints, or other regulatory submissions. The full methodological deep-dive — region, traction, and commodity selection, the diesel/electric split, and the electric factor’s generation basis — is published on the paired GLEC rail-freight methodology page.