GLEC Framework (Global Logistics Emissions Council)

Executive Summary

The GLEC Framework v3 is the operational methodology that closes the gap between the GHG Protocol’s high-level Scope 3 accounting rules and the line-by-line carrier-and-lane reality of corporate logistics emissions. The GHG Protocol Corporate Value Chain (Scope 3) Accounting and Reporting Standard tells a reporter that Category 4 (upstream transportation and distribution) must be inventoried; the GLEC Framework tells the reporter exactly how to convert a bill of lading, a TEU manifest, a parcel routing label, or a truckload tonne-kilometre into a defensible CO₂e number that is consistent across carriers and across years.

Three structural realities make GLEC the most-consequential Scope 3 methodology of the 2024–2030 disclosure cycle. First, logistics is materially under-counted in legacy inventories. A single “average road freight” factor applied to all tonne-kilometres typically under-estimates Scope 3 Cat 4/9 by 30–60% versus a properly bounded GLEC v3 calculation, because it omits hub emissions, applies a charitable load factor, ignores empty running, and uses a tank-to-wheel rather than well-to-wheel basis. Second, the disclosure stack has converged on GLEC. CSRD ESRS E1 references ISO 14083 (built on GLEC v3); CDP’s Cat 4/9 scoring uplift requires methodology consistent with GLEC; SBTi’s Scope 3 target-setting expects GLEC-aligned activity data; IFRS S2 cross-industry disclosure requirements consume the same underlying inventory. A 2026 reporter producing logistics emissions on a non-GLEC methodology is doing parallel work that no major framework recognises as best-in-class. Third, carrier data quality is the dominant bottleneck. Most reporters today operate at GLEC Tier 4 (spend-based proxies) or Tier 3 (modelled defaults), while the CSRD 2026 expectations and SBTi 2026 supplier engagement requirements push toward Tier 2 (carrier-reported activity data) for material lanes. Building the carrier data pipeline now is the principal practitioner action.

This page covers the chain of custody from the GHG Protocol Scope 3 Standard through GLEC v3 to ISO 14083:2023 and into the operational factor sets, the five modes with audited intensities, the data quality hierarchy, the hub emissions framework, the Cat 4/9 split, a worked multimodal example, and the disclosure-framework matrix. For the underlying corporate accounting layer see GHG Protocol Scope 3 Standard; for the CSRD-side disclosure consumer see CSRD / ESRS E1; for target-setting see SBTi Corporate Net-Zero Standard.

The Chain of Custody — From GHG Protocol to a Bill of Lading

A 2026 corporate Scope 3 Cat 4 logistics emissions figure is the downstream output of a chain that runs through five distinct authorities. Assurance findings, CDP scoring deductions, and SBTi-validation rejections can be triggered at any layer — and the most common audit finding is the wrong data tier for the chosen disclosure framework rather than wrong arithmetic.

Three implications follow from this chain that re-orient how a logistics Scope 3 question should be read. First, GLEC is not the accounting standard — it is the methodology that satisfies the accounting standard. A reporter claiming “we follow GLEC” without naming the underlying disclosure framework (GHG Protocol Scope 3, ESRS E1, IFRS S2) has named the methodology but not the legally-binding disclosure layer. Second, ISO 14083 is the formal language of carrier contracts. Procurement teams negotiating multi-year freight contracts increasingly write ISO 14083 conformance levels into RFP language — particularly for EU public procurement, German federal logistics tenders, and Nordic LSP contracts where the buyer requires verified or third-party assured emissions reporting from the carrier. Third, the factor authority layer is regionally variable. A multinational reporter typically uses DEFRA for UK/Ireland legs, EMEP/EEA for continental Europe, EPA for North America, IMO and ICAO defaults for international sea and air, and supplier-specific carrier data where available. The GLEC v3 framework explicitly allows this regional blend provided the underlying basis (WTW preferred) is consistent.

The remainder of this page documents layers 2–4 in operational depth and worked-example form. For layer 1 (Scope 3 corporate accounting) see GHG Protocol Scope 3 Standard and GHG Protocol Corporate Standard.

What the GLEC Framework Is and Who Must Use It

The GLEC Framework is a freight-and-logistics-specific emissions methodology developed by the Smart Freight Centre with a founding consortium of 50+ logistics companies, retailers, manufacturers, and academic and policy partners. The first version was published in 2016; v2 in 2019; v3 in June 2023. It is fundamentally a calculation methodology — it tells the user how to convert physical freight activity (a 22-tonne articulated truck, 480 km, 80% loaded; a 14,000-TEU container ship, 11,000 nautical miles, 78% slot utilisation; a 35-tonne air cargo movement, 9,500 km great-circle distance) into a defensible CO₂e number with appropriate uncertainty.

It is not:

• A disclosure standard like ESRS E1, IFRS S2, or the GHG Protocol Corporate Standard — reporters disclose under one or more of those, applying GLEC-aligned methodology internally.
• A carbon labelling scheme like PAS 2060 or the Carbon Trust’s product carbon footprint — though GLEC outputs feed product carbon footprints under ISO 14067.
• A target-setting protocol like SBTi’s Corporate Net-Zero Standard — though SBTi’s Scope 3 logistics-target validation expects GLEC-aligned activity data.
• A carbon-offset framework — GLEC quantifies emissions; offsetting through Verra VCS, Gold Standard, CORSIA, or other instruments is a separate accounting question.

Who must use it (and who effectively does)

No regulator directly mandates the GLEC Framework by name. The mandates are upstream, through ISO 14083 references in procurement and through indirect references in disclosure standards. As of 2026 the practical population that must (or effectively must) produce GLEC-aligned logistics emissions includes:

The Five Transport Modes — GLEC’s Coverage Universe

The GLEC Framework organises all freight movement into five transport modes plus a sixth category for multimodal hubs and warehousing. Each mode has multiple sub-categories reflecting equipment type, regional convention, and operating profile.

Modal intensity ranking — the 56× spread that drives modal-shift decisions

The headline economic argument for modal shift away from air freight rests on the intensity ranking below. The values are illustrative GLEC v3 ranges for typical operating conditions on a well-to-wheel basis; specific lanes will vary materially with payload class, load factor, and routing.

The 50–120× spread between long-haul air freight and large-container-ship ocean freight is the structural driver behind every “sea-air” vs “all-sea” routing decision in global supply chains. The same spread is why a single “average freight” factor across all modes produces inventories that bear no resemblance to actual operations. The 5–10× spread between van/LCV last-mile and articulated long-haul is why the e-commerce surge has materially increased per-parcel emissions intensity even as long-haul efficiency has improved.

The Transport Chain Model — Origin to Destination

The GLEC Framework defines a Transport Chain as the complete physical movement of a consignment from its origin (typically the shipper’s gate or factory) to its destination (typically the consignee’s gate, distribution centre, or end customer). A Transport Chain Element is each constituent leg, mode change, or hub transit. The accounting separation between Transport Chain Operator (TCO) and Transport Activity Operator (TAO) is the most-litigated boundary question in logistics emissions practice.

TCO and TAO — the two roles every reporter must identify

Transport Activity Operator (TAO): the operator that physically performs a single transport activity element — the trucking company driving a specific lane, the shipping line operating a specific container voyage, the airline operating a specific freighter flight, the rail operator running a specific train service.

Transport Chain Operator (TCO): the organisation that contracts, organises, and is commercially responsible for the entire transport chain (or a defined portion of it). For a typical European retailer importing from Asia, the TCO is the freight forwarder or 4PL that books the ocean leg, the inland legs, customs clearance, and the final-mile delivery; the TAOs are the underlying shipping line, rail operator, trucking company, and last-mile carrier.

The boundary question that breaks most Scope 3 Cat 4/9 inventories

The GLEC Framework provides explicit guidance on allocation when a single shipment crosses multiple TAOs and TCOs. Three principles govern the practical resolution. The reporter accounts for what the reporter pays for. If the contractual structure means the reporter pays the forwarder for the entire door-to-door movement, the reporter’s Cat 4 inventory includes the entire chain — not just the leg the forwarder physically operates. Allocation should follow physical activity, not contractual share. A shipment occupying 5% of a vessel’s TEU capacity bears 5% of the vessel’s emissions for that voyage, regardless of how the freight rate was negotiated. Hub emissions follow the consignment, not the operator. A consignment that dwells in a port for two days during transhipment accumulates two days of hub emissions; the consignment’s shipper / consignee chain absorbs the hub emissions even though no TAO “moves” the consignment during that period.

The Data Quality Hierarchy — Four Tiers

The GLEC Framework v3 establishes a four-tier data quality hierarchy that runs from primary measured data (Tier 1) at the highest accuracy through modelled defaults (Tier 3) to spend-based proxies (Tier 4) at the lowest. ISO 14083:2023 reflects the same hierarchy in its data-quality framework. The tier of each input is the principal disclosure that downstream frameworks now demand — CDP’s Cat 4/9 scoring uplift, CSRD ESRS E1’s methodology disclosure, and SBTi’s 2026 supplier engagement expectation all turn on tier composition.

The tier transition timeline

The disclosure-stack signal is unambiguous: tier composition matters and the bar is rising. CDP Climate Change scoring for Cat 4/9 emissions explicitly differentiates spend-based from activity-based methodologies, with the highest scoring band requiring primary or carrier-reported activity data for material lanes. CSRD ESRS E1 paragraph AR 44 requires Scope 3 reporters to disclose the methodology and data sources used, with explicit identification of which categories rely on primary activity data versus modelled defaults versus spend-based proxies. SBTi Scope 3 supplier engagement validation expects material suppliers (typically the top 65–90% by spend or emissions) to provide activity-based data within a defined timeline. IFRS S2 paragraph 29(a)(iii) requires Scope 3 disclosure with the basis for measurement clearly stated — including data quality.

The practical implication for 2026 reporters is that the carrier-data pipeline is now a procurement-and-IT project, not just a sustainability-team project. Material-lane data agreements need to be written into contracts; carrier data templates need to be agreed in advance; the inventory system needs to be able to ingest mixed-tier data and track the tier of each input. See SBTi Readiness Checklist for the supplier-engagement preparation framework.

Emission Factor Reference Table — All Modes

The table below is the consolidated GLEC-aligned modal intensity reference for the most-used freight categories. Values draw on UK DEFRA / DESNZ Greenhouse Gas Conversion Factors 2025 (freight set, well-to-wheel basis), GLEC Framework v3.0 defaults, and the IMO Fourth GHG Study reference values where DEFRA is silent. The factors are publicly-sourced defaults for Tier 3 modelled calculation; reporters with Tier 1 or Tier 2 data should substitute their carrier-specific values.

Three points reorient any reuse of this table. The DEFRA 2025 release introduced material methodology changes: air freight intensities decreased 18–23% versus DEFRA 2024 after re-allocation between passenger and cargo on belly-cargo flights; articulated and rigid HGV intensities increased ~12–13% after empty-running and load-factor recalibration. Comparing 2024 inventories to 2025 inventories without accounting for the factor-source revision will produce spurious year-on-year movement. Air freight RF (radiative forcing) treatment varies by source: DEFRA includes a multiplier for non-CO₂ high-altitude radiative forcing effects on long-haul flights; some other factor sources do not. Cross-source comparison without checking RF inclusion is a recurring audit finding. WTW versus TTW changes the answer by 20–30%: well-to-wheel includes upstream fuel extraction, refining, and distribution; tank-to-wheel covers only on-vehicle combustion. GLEC v3 default is WTW; many legacy reporting systems still default to TTW. See UK DEFRA Emission Factors for the operative factor authority detail.

Load Factor and Empty Running — The Two Adjustments That Matter Most

Two operational variables drive the largest deltas in a GLEC-aligned calculation after mode and distance: load factor (the proportion of vehicle, vessel, or aircraft capacity actually used) and empty running (movement without payload, typically the return leg of a one-way contract). A road haulage operator running at 75% load factor with 25% empty kilometres produces a materially different emissions intensity per tonne-km from one running at 90% load factor with 5% empty kilometres, even on identical equipment.

GLEC v3 default load factors

Empty running — the two-convention split

Empty running is treated in two distinct ways across the factor authority landscape, and the choice materially affects the resulting per-tonne-km intensity:

• The DEFRA “average laden” convention. DEFRA’s published freight factors are already averaged across laden and empty running for typical fleet operating profiles in the relevant geography. Reporters applying DEFRA factors to a known laden tonne-km should not add a further empty-running uplift — that is double-counting.
• The GLEC v3 “laden plus return leg” convention. Where the reporter has carrier-specific (Tier 2) data on laden tonne-km, GLEC v3 recommends an explicit return-leg empty-running adjustment based on the actual fleet empty-running coefficient. This is the more precise approach for own-fleet or single-carrier reporting.

Mixing the two conventions on the same shipment — applying a DEFRA average-laden factor to laden tonne-km and then adding a GLEC return-leg uplift — is a recurring 20–30% over-statement error. The discipline: state the convention explicitly in the methodology section; apply it consistently; do not adjust a DEFRA-source factor with a GLEC-source empty-running uplift.

Multimodal Hub Emissions — GLEC’s Unique Contribution

The single most-distinctive technical feature of the GLEC Framework, and the element that most clearly differentiates a GLEC-aligned inventory from a competitor “average freight factor” calculation, is the explicit treatment of hub emissions. Every multimodal shipment dwells in one or more hubs — sea ports, air cargo terminals, rail intermodal terminals, road depots, distribution centres — and at each hub, energy is consumed: cranes, straddle carriers, reach stackers, terminal tractors, ground support equipment, refrigeration during dwell, lighting, building HVAC, conveyor systems. GLEC v3 requires this energy consumption to be allocated to the consignment, not omitted.

The four hub types and their default intensities

When hub emissions matter and when they don’t

The order-of-magnitude rule for materiality: hub emissions are negligible for short single-mode movements (a regional truck delivery with no transhipment) but material for any long-haul multimodal chain. The rule of thumb that holds across most operating profiles: add hub emissions to the calculation when the shipment crosses two or more modes, or dwells in any single hub for more than 24 hours. For typical intercontinental sea-rail-road chains (e.g. Asia-to-EU container movements), hub emissions add 5–15% to the chain inventory. For cold-chain food and pharma with extended refrigerated dwell, hub emissions can exceed 30%.

GHG Protocol Scope 3 Categories 4 and 9 — Where GLEC Plugs In

The GLEC Framework is methodology; the GHG Protocol Corporate Value Chain (Scope 3) Accounting and Reporting Standard provides the inventory categories into which GLEC outputs are reported. For logistics, the two dominant categories are Cat 4 (upstream transportation and distribution) and Cat 9 (downstream transportation and distribution). Conflation between them — particularly for reporters that both buy and sell freight services, or that operate in B2B vs B2C blended channels — is the second-most-common boundary error in logistics Scope 3 inventories.

The decisive question: who pays?

The Scope 3 Standard’s defining criterion for the Cat 4 / Cat 9 split is contractual payment, not physical control or operational responsibility. A retailer that buys from a supplier on a DDP (Delivered Duty Paid) basis — where the supplier organises and pays for shipping to the retailer’s warehouse — does not have a Cat 4 obligation for that lane; the transport is embedded in the price of the goods (Cat 1). The same retailer buying on an FOB (Free On Board) basis — where the retailer takes over at the supplier’s port and pays the freight forwarder for the ocean and inland legs — has Cat 4 emissions for those legs. The contractual Incoterms determine the boundary; the physical movement is identical in both cases.

ISO 14083:2023 — GLEC’s Formal Codification

ISO 14083:2023 is the international standard Greenhouse gases — Quantification and reporting of greenhouse gas emissions arising from transport chain operations, published in March 2023 by ISO/TC 207/SC 7. It is the formal codification of the GLEC Framework methodology into international-standard form, with three significant additions that go beyond the GLEC v3 informal framework: conformance levels, normative versus informative provisions, and audit-ready language for procurement contracts.

Conformance levels

Why ISO 14083 is becoming contractually mandatory

Three trends have made ISO 14083 conformance a tender-language standard:

• EU public procurement. EU Member States increasingly include ISO 14083-aligned emissions reporting in public-sector logistics tenders as part of their broader Green Public Procurement obligations under the EU Public Procurement Directive and the EU Green Deal.
• Large shipper RFPs. Multinationals like IKEA, H&M, Unilever, Maersk, DHL, Schenker, and others reference ISO 14083 conformance level in their LSP tendering and supplier-onboarding requirements.
• CSRD limited-assurance phase-in. The CSRD ESRS E1 limited-assurance requirement effectively pushes large EU reporters to demand ISO 14083 Verified-level data from material LSPs, because the LSP’s verified data underpins the shipper’s own assurance pass.

For most non-LSP corporate reporters the practical implication is to include ISO 14083 conformance level (Declared minimum, Verified preferred for material lanes) in carrier RFPs and contracts. See ISO 14064-1 for the parent organisation-level GHG inventory standard and ISO 14064-3 for the verification framework that applies to ISO 14083-conformant data.

Worked Example — AsiaShipCo Multimodal Shipment

The framework is abstract; the worked example shows how a GLEC-aligned calculation lands in practice. The example below illustrates a defensible Scope 3 Cat 4 calculation for a single multimodal shipment from a Chinese supplier to a European e-commerce retailer. The numbers are chosen to demonstrate the calculation chain rather than to represent any specific company; the methodology is fully transferable.

The illustrative shipment — AsiaShipCo

“AsiaShipCo Retail” is a European e-commerce retailer importing a single 20-foot equivalent unit (TEU) container of small electronics — net cargo weight 18 tonnes (including packaging) — from a manufacturer in Shenzhen, China, to its distribution centre in Venlo, Netherlands. The reporter buys on FOB (Free On Board) Yantian terms, meaning it pays the freight forwarder for the ocean and EU-side inland legs but the supplier organises the China-side inland transport; the China-side inland transport is therefore embedded in the cost of the purchased goods (Cat 1) and not separately in Cat 4. The reporter has chosen GLEC v3 methodology with Tier 3 modelled defaults (with Tier 2 carrier data on the ocean leg only) and WTW basis throughout.

The transport chain

The shipment crosses three modes plus three hubs:

• Leg 1 (Cat 1, not Cat 4): Shenzhen factory to Yantian port — 60 km, articulated HGV (supplier arranges, FOB terms)
• Hub 1 (Cat 4): Yantian container terminal — 1 TEU move (load)
• Leg 2 (Cat 4): Yantian to Rotterdam — 16,500 km, large container ship (>8,000 TEU)
• Hub 2 (Cat 4): Rotterdam container terminal — 1 TEU move (unload) + 2 days dwell
• Leg 3 (Cat 4): Rotterdam to Venlo — 200 km, articulated HGV
• Hub 3 (Cat 4): Venlo distribution centre — 1 TEU unload + pallet handling

Step 1 — Yantian port hub emissions (load)

1 TEU move at Yantian, GLEC v3 default for a high-throughput Asian container terminal: ~5 kg CO₂e per TEU move. Hub 1 = 5 kg CO₂e.

Step 2 — Ocean leg (Yantian → Rotterdam)

Distance: 16,500 km (great-circle equivalent for Asia-Europe via Suez, GLEC accepts published shipping-line distances). Cargo: 18 tonnes. Tier 2 carrier-specific intensity from the shipping line’s most recent Clean Cargo / Smart Freight Centre verified report: 0.0070 kg CO₂e per tonne-km (WTW).

Leg 2 emissions = 18 tonnes × 16,500 km × 0.0070 kg/tonne-km = 2,079 kg CO₂e.

Step 3 — Rotterdam port hub emissions (unload + dwell)

1 TEU move at Rotterdam, GLEC v3 default for a European container terminal: ~4 kg CO₂e per TEU move. Plus 2 days dwell with no reefer (ambient cargo): negligible additional energy. Hub 2 = 4 kg CO₂e.

Step 4 — Inland road leg (Rotterdam → Venlo)

Distance: 200 km. Cargo: 18 tonnes. Tier 3 modelled default using DEFRA 2025 articulated HGV WTW factor: 0.0827 kg CO₂e per tonne-km.

Leg 3 emissions = 18 tonnes × 200 km × 0.0827 kg/tonne-km = 297.7 kg CO₂e.

Step 5 — Venlo distribution centre hub emissions

1 TEU unload at the distribution centre plus pallet handling, GLEC v3 default for an ambient road-depot / cross-dock operation: ~2 kg CO₂e per pallet-move, with ~20 pallets in the TEU: ~40 kg CO₂e. Hub 3 = 40 kg CO₂e.

Step 6 — Total Cat 4 inventory

Adding all Cat 4 elements:

The total Cat 4 inventory for this single shipment is 2,426 kg CO₂e (or ~135 kg CO₂e per tonne of cargo). The ocean leg dominates (85.5% of chain), the inland road leg is the second-largest element (12.3%), and the three hubs combined add ~2% to the chain. Note that the China-side inland trucking (~60 km, ~80 kg CO₂e) is embedded in Cat 1 (purchased goods) rather than Cat 4, reflecting the FOB Incoterms.

Step 7 — What this discloses

The reporter discloses 2,426 kg CO₂e for this shipment under Scope 3 Cat 4, with modal disaggregation (ocean 85.5%, road 12.3%, hubs 2.2%), tier composition (Tier 2 for the ocean leg representing 85.5% of emissions; Tier 3 for the road leg and hubs), basis (WTW throughout), and methodology (GLEC v3 / ISO 14083 Declared conformance). Aggregated across all inbound shipments for the reporting year, this calculation feeds CSRD ESRS E1 paragraph 52 Scope 3 disclosure, the CDP Climate Change C6.5 module, SBTi Scope 3 target tracking, and the IFRS S2 paragraph 29 disclosure.

SBTi and Freight Decarbonisation Targets

The Science Based Targets initiative does not publish freight-specific target methodology, but its Scope 3 target-setting requirements affect every logistics-intensive reporter. Three integration points between SBTi target validation and GLEC-aligned inventory practice matter for 2026 reporters.

Scope 3 inventory threshold and the 67% rule

Under the SBTi Corporate Net-Zero Standard, a reporter whose Scope 3 emissions are at least 40% of total Scope 1+2+3 must set a Scope 3 target covering at least two-thirds (67%) of total Scope 3 emissions, on a near-term (5–10 year) horizon. For logistics-intensive sectors — retail, e-commerce, food & beverage, consumer goods, automotive aftermarket — Cat 4 and Cat 9 typically fall within the “most material” categories that must be inside the 67%. The GLEC-aligned base-year inventory is therefore the anchor of the SBTi-validated target.

Activity-based methodology preference

SBTi target validation prefers activity-based (Tier 1, 2, or 3) methodology over spend-based (Tier 4) for material Scope 3 categories. The 2026 SBTi expectations for Scope 3 target revalidation explicitly flag spend-based-only logistics inventories as a methodological weakness. Reporters with SBTi-validated targets set on spend-based Cat 4 figures should plan for activity-based methodology migration during the next target revalidation cycle.

Supplier engagement — the 2026 expectation

The SBTi Scope 3 supplier engagement target option requires the reporter to engage with a defined portion of its suppliers (typically the top 65–90% by spend or emissions) on emissions reduction. For logistics-intensive reporters this typically means LSP and carrier engagement on emissions data quality (push to Tier 2) and on emissions reduction commitments (carrier-side SBTi targets, alternative fuels, modal shift). The GLEC Framework provides the methodology framework within which the carrier engagement is operationalised. See SBTi Corporate Net-Zero Standard and SBTi absolute contraction approach.

CSRD ESRS E1 Logistics Disaggregation Requirements

The Corporate Sustainability Reporting Directive’s ESRS E1 (Climate Change) standard imposes specific requirements on transport-related Scope 3 disclosures that GLEC-aligned inventories satisfy. Three requirements drive operational practice for CSRD-bound reporters.

The implication for CSRD-bound reporters with material Cat 4 emissions is that the GLEC v3 / ISO 14083 methodology is effectively the path of least resistance to ESRS E1 compliance: the disaggregation, methodology disclosure, and tier-of-data requirements are satisfied natively by the framework. Reporters using non-GLEC methodologies create reconciliation work between their internal inventory and the ESRS E1 disclosure schedule. See CSRD / ESRS E1 for the broader disclosure framework.

Disclosure Framework Matrix

The same GLEC-aligned logistics inventory feeds multiple disclosure frameworks, each with its own requirements for disaggregation, methodology preference, and assurance level. The table below covers the seven frameworks most reporters need to satisfy.

The implication: a logistics-intensive reporter with a CSRD obligation, an SBTi-validated Scope 3 target, and a CDP submission can run a single GLEC v3 / ISO 14083 inventory and produce the input data for all three downstream disclosures. The methodology investment is fungible across frameworks; the disclosure formatting differs but the underlying numbers are identical.

Common Reporting Errors

Eight technical errors that surface repeatedly during CSRD limited-assurance review, CDP scoring assessment, and SBTi target validation:

1. Using a single average road factor for all freight. Applying one “road freight” factor across van, rigid HGV, and articulated HGV ignores the 3–6× intensity spread between vehicle classes. Material under- or over-statement depending on the actual fleet mix. The fix: disaggregate by GLEC vehicle class with the appropriate DEFRA / EMEP-EEA sub-factor.
2. Omitting hub emissions entirely. The single most-common silent omission. The fix: for any multimodal chain or any single-mode chain with >24-hour hub dwell, apply GLEC v3 hub defaults at minimum.
3. Confusing Cat 4 and Cat 9 boundaries. Outbound shipments where freight is bundled into the sale price are Cat 4 (reporter pays via embedded freight cost); the same shipments where freight is invoiced separately to the customer are Cat 9. The Incoterms determine the boundary.
4. Applying tonne-km factors against maximum capacity rather than actual payload. The denominator in tonne-km is actual laden mass, not vehicle / vessel capacity. Using vessel deadweight tonnage or vehicle gross weight instead of cargo weight produces an order-of-magnitude under-statement.
5. Ignoring air freight radiative-forcing multipliers without disclosure. DEFRA includes RF for non-CO₂ high-altitude effects on long-haul flights; many other sources do not. Comparing two sources without checking RF inclusion produces apparent inconsistency that is methodology mismatch, not data mismatch.
6. Using revenue-tonne-km vs weight-tonne-km interchangeably. In passenger / belly-cargo aviation, “tonne-km” can mean either revenue-weight or chargeable-weight (which factors in volume); the two diverge for low-density cargo. Single-source methodology must specify which.
7. Treating 3PLs as outside organisational boundary. A 3PL operating exclusively for the reporter under a multi-year contract is operating on the reporter’s behalf for Scope 3 Cat 4 purposes regardless of whether the reporter has financial or operational control over the 3PL’s assets. The reporter pays for the transport; the emissions are Cat 4.
8. Not disaggregating multimodal shipments into legs. Applying a single “international shipping” factor to a sea-rail-road chain conflates three different intensities and prevents modal-shift analysis. The fix: compute each leg separately with the appropriate factor and sum.

Common Misinterpretations

Six high-frequency misreadings of GLEC-aligned logistics emissions accounting that surface in executive briefings, board reporting, and supplier engagement documents:

Carrier Data Collection — Practical Guidance

The single highest-leverage operational action a 2026 logistics-intensive reporter can take is to systematise carrier emissions data collection. Material-lane data needs to be in carrier contracts, in transport management system feeds, and in the procurement RFP language — not chased annually by a sustainability team relying on bilateral asks.

The minimum carrier data request — Tier 2 specification

The discipline that catches missing carrier data: contract language must specify the data fields, the format, the delivery cadence, and the consequences of non-delivery — not after the fact, but at the procurement stage. Reporters with mature programmes typically tier their carrier base into material (top 65–90% by spend or emissions, full Tier 2 expectation) and immaterial (everything else, GLEC v3 default acceptable). The CDP scoring uplift in 2026 increasingly turns on the share of Cat 4 / Cat 9 covered by activity-based methodology — making the carrier-engagement programme a measurable contributor to CDP performance, not just a behind-the-scenes process improvement.

Assurance and Audit Implications

Third-party verification of Scope 3 Cat 4 / Cat 9 data is now expected for SBTi-validating reporters, CSRD-bound reporters in the limited-assurance phase, and CDP A-list aspirants. The assurance bar will continue to rise as CSRD reasonable assurance phases in.

The reasonable-assurance bar (which CSRD ESRS E1 phases in over time) is meaningfully higher than limited assurance: the auditor performs substantive testing of underlying activity data — not just review of the methodology. For most reporters the practical implication is that the carrier data trail — purchase orders, bills of lading, carrier emissions reports, transport management system records — needs to be complete, dated, and reproducible from the inventory back to the source records. The methodology section can be elegant, but if the activity-data trail does not reconcile to the underlying business records, the inventory is not reasonable-assurance-ready.

Where This Maps Into the GreenCalculus Stack

The GreenCalculus methodology and calculator layer operationalises this Standards page into reporter-usable tooling. The Scope 1 Combustion Calculator handles direct-fleet emissions for own-trucking and own-rail operations; the broader Scope 3 logistics emissions tooling (in active development) extends the GLEC v3 methodology to purchased transport with mode-specific factor sets, load-factor and empty-running treatment, hub-emission defaults, and Tier-of-data flagging.

For practitioner workflows the typical journey is: review this Standards page for the GLEC v3 / ISO 14083 framework; consult the per-fuel methodology pages (diesel combustion, natural gas combustion) for own-fleet Scope 1 detail; pull operative emission factors from the data layer (DEFRA emission factors for the freight set); run own-fleet emissions through the Scope 1 Combustion Calculator with electricity-side via the Scope 2 Electricity Calculator; cross-reference the disclosure-framework requirements at CSRD ESRS E1, GHG Protocol Scope 3 Standard, and SBTi Corporate Net-Zero Standard; and use the SBTi Readiness Checklist for the supplier-engagement preparation framework.

Frequently Asked Questions

Sources and References

Every emission factor, default load factor, modal intensity range, and accounting rule cited on this page reconciles to one of the primary sources below.

Primary GLEC Framework and ISO codification

• Smart Freight Centre, GLEC Framework for Logistics Emissions Accounting and Reporting, version 3.0, June 2023.
• ISO 14083:2023, Greenhouse gases — Quantification and reporting of greenhouse gas emissions arising from transport chain operations, March 2023 (ISO/TC 207/SC 7).
• Smart Freight Centre, GLEC Declaration Framework Implementation Guidance, current versions.
• CEN EN 16258:2012, Methodology for calculation and declaration of energy consumption and GHG emissions of transport services (freight and passengers).

Corporate-accounting standards

• WRI & WBCSD, Corporate Value Chain (Scope 3) Accounting and Reporting Standard, 2011.
• WRI & WBCSD, Technical Guidance for Calculating Scope 3 Emissions, 2013.
• WRI & WBCSD, The Greenhouse Gas Protocol: A Corporate Accounting and Reporting Standard, Revised Edition, 2004 (reaffirmed).
• ISO 14064-1:2018, Greenhouse gases — Part 1: Specification with guidance at the organization level for quantification and reporting of greenhouse gas emissions and removals.

Factor authorities

• UK Department for Energy Security and Net Zero (DESNZ) / Department for Environment, Food and Rural Affairs (DEFRA), UK Government GHG Conversion Factors for Company Reporting, 2025 edition (freight set).
• European Environment Agency, EMEP/EEA Air Pollutant Emission Inventory Guidebook 2023, Part B.1.A.3 (road transport, rail, sea, inland waterway).
• International Maritime Organization, Fourth IMO GHG Study, 2020; MARPOL Annex VI; MEPC.346(78) CII rating regulation, 2022.
• International Civil Aviation Organization, Carbon Emissions Calculator Methodology, current version.
• International Air Transport Association, Recommended Practice 1726, passenger and cargo CO₂ calculation methodology.
• Network for Transport Measures (NTM), Swedish-based European freight emissions reference database.
• Clean Cargo Working Group (now within the Smart Freight Centre), Annual container shipping emission factors.

Disclosure frameworks consuming GLEC outputs

• European Sustainability Reporting Standards (ESRS) E1 — Climate Change, EU Commission Delegated Regulation 2023/2772.
• International Sustainability Standards Board, IFRS S2 Climate-related Disclosures, June 2023.
• Science Based Targets initiative, Corporate Net-Zero Standard, current version.
• CDP, Climate Change Questionnaire Technical Guidance, current; transport modules C6.5 and C6.7.
• Task Force on Climate-related Financial Disclosures, Final Recommendations, June 2017 with October 2021 Annex.
• Global Reporting Initiative, GRI 305: Emissions, 2016.

Related GreenCalculus reference pages

• GHG Protocol Scope 3 Standard — the parent accounting framework
• GHG Protocol Corporate Standard — the foundational corporate accounting layer
• CSRD / ESRS E1 — the EU disclosure regime that consumes Cat 4 / Cat 9 inventories
• SBTi Corporate Net-Zero Standard — the target-setting framework
• ISO 14064-1 — the organisation-level GHG inventory standard
• UK DEFRA Emission Factors — the operative UK freight factor authority
• GHG Protocol Scope 1 Stationary Combustion — the adjacent Scope 1 reference for own-fleet operations
• Scope 1 Combustion Calculator — the own-fleet implementation tool

What changed in this revision

Updated 14 May 2026. Initial publication. Reflects the GLEC Framework v3.0 (Smart Freight Centre, June 2023) as codified in ISO 14083:2023, anchored on the GHG Protocol Corporate Value Chain (Scope 3) Accounting and Reporting Standard (2011) and the GHG Protocol Technical Guidance for Calculating Scope 3 Emissions (2013), with UK DEFRA / DESNZ 2025 freight factors, EMEP/EEA 2023, IMO Fourth GHG Study, and ICAO Carbon Emissions Calculator as the operational factor authorities. Documents the five transport modes plus multimodal hubs with audited 2025 modal intensities; the Transport Chain Operator vs Transport Activity Operator distinction; the four-tier data quality hierarchy with CSRD 2026 transition expectations and SBTi 2026 supplier engagement requirements; the WTW vs TTW basis declaration; load factor and empty running treatment with the DEFRA “average laden” vs GLEC “laden plus return leg” convention split; multimodal hub emissions with GLEC v3 defaults across sea ports, air cargo terminals, rail intermodal, road depots, and warehousing; the GHG Protocol Scope 3 Category 4 vs Category 9 boundary with Incoterms framing; the ISO 14083 conformance levels (Declared / Verified / Third-party assured); the AsiaShipCo worked example showing a Shenzhen-to-Venlo 18-tonne TEU multimodal chain producing 2,426 kg CO₂e Cat 4 with modal disaggregation, tier composition, and hub-emission inclusion; the CSRD ESRS E1 disaggregation requirements; the disclosure framework matrix across ESRS E1, CDP, SBTi, ISO 14064-1, IFRS S2, TCFD, and GRI 305; the eight common reporting errors with audit-finding context; the six common executive misinterpretations as callouts; the carrier data collection template with eleven required fields; the assurance evidence trail by verification requirement; and the implementation pathway through the GreenCalculus methodology and calculator stack.