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Glossary

GLEC Framework

The Global Logistics Emissions Council (GLEC) Framework is a universally recognized methodology for calculating and reporting greenhouse gas emissions across a multi-modal logistics supply chain, ensuring consistent and comparable carbon accounting.
Supply chain manager using AI negotiator on laptop, supplier data visible, casual office afternoon setup.
LOGISTICS EMISSIONS ACCOUNTING

What is the GLEC Framework?

The Global Logistics Emissions Council (GLEC) Framework is the globally recognized, universal methodology for calculating and reporting greenhouse gas emissions across multi-modal logistics supply chains, ensuring consistent and comparable carbon accounting.

The GLEC Framework provides a harmonized approach for calculating a logistics carbon footprint by defining how to combine transport activity data with fuel- and vehicle-specific emission factors. It aligns with the ISO 14083 standard and the Greenhouse Gas Protocol, enabling shippers and carriers to quantify Scope 3 emissions from road, rail, air, sea, and inland waterways using a single, auditable methodology.

By standardizing the calculation of well-to-wheel emissions, the framework allows for the credible comparison of carbon performance across different carriers and transport modes. It serves as the foundational accounting backbone for advanced optimization engines, such as carbon-aware routing and modal shift algorithms, by providing the consistent emission intensity data required for automated decision-making.

CORE COMPONENTS

Key Features of the GLEC Framework

The Global Logistics Emissions Council (GLEC) Framework provides a universal, transparent methodology for calculating and reporting logistics emissions across multi-modal supply chains. These key features ensure consistent, auditable carbon accounting.

01

Multi-Modal Coverage

The framework provides a unified calculation approach across all transport modes—air, road, rail, sea, and inland waterways—as well as logistics hubs like warehouses and transshipment terminals. This eliminates the inconsistency of using disparate methodologies for different legs of a single shipment, enabling a true end-to-end carbon footprint from raw material extraction to final delivery. It harmonizes with existing mode-specific standards (e.g., IATA for air, Clean Cargo for sea) under one roof.

02

Well-to-Wheel (WTW) Accounting

Unlike Tank-to-Wheel (TTW) methods that only measure tailpipe emissions, the GLEC Framework mandates a Well-to-Wheel scope. This accounts for the full lifecycle of the energy source:

  • Well-to-Tank (WTT): Emissions from fuel extraction, production, refining, and distribution.
  • Tank-to-Wheel (TTW): Emissions from fuel combustion in the vehicle. This prevents carbon leakage by capturing upstream energy impacts, making it essential for accurately comparing fossil fuels with alternative energies like electricity or hydrogen.
03

Granular Emission Factor Defaults

The framework provides a tiered system of default emission intensity factors (gCO2e/tonne-km) for use when primary data is unavailable. These factors are segmented by:

  • Transport mode and vehicle/vessel type
  • Fuel type and energy source
  • Load factor and empty running percentage
  • Geographic region This allows companies to move from basic spend-based estimates to more accurate activity-based calculations as their data maturity improves, following the GLEC Maturity Curve.
04

Alignment with Global Standards

The GLEC Framework is the logistics sector's implementation guide for leading global accounting protocols. It is fully aligned with:

  • Greenhouse Gas Protocol: The foundational corporate accounting standard.
  • ISO 14083: The new international standard that formally superseded EN 16258, making GLEC the de facto industry guide for ISO compliance.
  • CDP Reporting: It structures data to meet the Carbon Disclosure Project's logistics-specific reporting requirements.
  • Science Based Targets initiative (SBTi): It provides the granular data needed to set and track science-based emission reduction targets for transport.
05

Allocation Logic for Shared Transport

A critical feature is its methodology for allocating emissions to individual shipments on shared services like Less-than-Truckload (LTL) or container shipping. The framework defines allocation factors based on weight, volume, or a combination, ensuring that a single pallet on a shared truck is assigned a fair and defensible share of the total journey's emissions. This is essential for accurate product-level carbon footprinting and customer reporting.

06

Scope 3 Category 4 & 9 Focus

The framework is specifically designed to address the most challenging parts of a corporate carbon footprint: Scope 3 emissions. It provides the methodology for:

  • Category 4 (Upstream Transportation & Distribution): Emissions from inbound logistics and supplier transport.
  • Category 9 (Downstream Transportation & Distribution): Emissions from outbound logistics to customers. This makes it the primary tool for companies seeking to manage the indirect emissions that often constitute the majority of their total carbon impact.
GLEC FRAMEWORK

Frequently Asked Questions

Clear, technical answers to the most common questions about the Global Logistics Emissions Council Framework, the universal standard for calculating and reporting multi-modal logistics emissions.

The Global Logistics Emissions Council (GLEC) Framework is a universally recognized methodology for calculating and reporting greenhouse gas emissions across a multi-modal logistics supply chain. It works by providing a harmonized set of rules, emission factors, and calculation methods that allow shippers, carriers, and logistics service providers to consistently quantify their carbon footprint. The framework aligns with the Greenhouse Gas Protocol and the ISO 14083 standard, ensuring that emission data is comparable, auditable, and actionable. It covers all transport modes—road, rail, air, ocean, and inland waterways—and includes both well-to-wheel (WTW) and tank-to-wheel (TTW) emission scopes, enabling end-to-end carbon accounting from raw material extraction to final delivery.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.