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Logistics Emissions Accounting and Reduction Network

The Logistics Emissions Accounting and Reduction Network (LEARN) is a coordinated network at the European and global level for the improvement of carbon measurement and reporting along the logistics transport supply chain. LEARN aims to support companies involved in all aspects of transport logistics to improve their efficiency and reduce emissions. The lack of a coordinated and industry wide approach regarding this issue is a major market barrier. LEARN intends to remove this barrier by bringing together stakeholders of the logistics industry. LEARN will build on the initiative from the Global Logistics Emissions Council (GLEC).

 The GLEC initiative created a harmonized carbon accounting framework that works for industry and is backed by leading experts, governments and other stakeholders. Such a framework would allow consistent emissions calculations across all modes of transport at a global level. Comparability of emissions calculations allows businesses to be competitive and more environmentally friendly, by improving freight efficiency, tracking emissions reductions and lowering costs.

Building on GLEC, LEARN aims to improve carbon measurement and reporting by:

  • Establishing a network of leading global industry, government and civil society stakeholders, building on the existing network of GLEC
  • Developing an industry-wide standard for logistics emissions accounting, using the GLEC framework
  • Developing mechanisms to support logistics emissions accounting
  • Working on training and education, communication/dissemination, setting policy and research priorities

As part of the project's testing and validation exercise, CLECAT and the other consortium partners of the project invite companies to test and validate the practical applicability of carbon accounting in different multi-modal logistics settings. Further information on how to participate in this exercise, and the benefits of participating, may be found here.

CLECAT is a consortium member of LEARN

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