Sustainable Freight Transport Measures

The SFT Measures catalogue is a tool featuring a collection of more than 200 sustainable freight transport measures. It allows you to easily find the measures corresponding specifically to your needs by customizing your searches according to a set of criteria. Key filters include, for example, the Mode of Transport, Timescale for Implementation, Investment Cost, and, Emission Savings Potential. As applicable, additional information is provided by means of specific links to supporting documentation and references. Use the “Search measure” box for a full text search to narrow results or to find measures related to a specific key word.

For more information on how the measures can support a comprehensive sustainable freight transport strategy, see the Implementation Step of the UNCTAD SFT Framework.


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* Dimensions of Sustainability - Relevant data are estimates/approximations and are not calculated based on a specific model.
- Dimensions of Sustainability Transport Mode Scope - - - - Emission Quantification
Measure Economic Environmental Social Road Rail Maritime/ Waterways Aviation Country/ Region/ Local Corridor/ Multimodal/ Intermodal Urban Fleet Company/ Firm Type of Measure Timescale for Implementation Investment Cost SFT Measure Typically Led (i.e. Initiated/ Driven/ Implemented/ Financed) by Potential CO2 savings per vehicle; per equipment unit (in %) Potential CO2 savings by transport mode; by fleet; by transport supply chain level (in %) Other Savings

Adequate truck parking space

30.00% 30.00% 1 0 0 0 1 1 1 1 0 Short Infrastructure Low Government

Advanced aircraft configurations/ aerodynamic designs

50.00% 30.00% 0 0 0 1 0 0 0 0 1 Long Technology High Private Sector

Aerodynamic drag reduction devices (truck/road)

50.00% 50.00% 1 0 0 0 1 0 0 0 1 Short Technology Low Private Sector

Aerodynamic drag reduction devices and strategies (train/railway)

50.00% 50.00% 0 1 0 0 1 1 0 0 1 Medium Technology Moderate Private Sector

Aerodynamic drag reduction: sharklets installation (aviation)

50.00% 50.00% 0 0 0 1 1 0 0 0 1 Short Technology Moderate Private Sector

Aerodynamic drag reduction: vehicle platooning (road)

20.00% 40.00% 1 0 0 0 1 1 1 1 1 Short Technology Moderate Private Sector 10%

Aerodynamic optimization of pantographs (railway)

50.00% 25.00% 0 1 0 0 0 1 1 1 1 Medium Technology Moderate Government, Private Sector Energy efficiency improvement: <2%; <1%

Agreement on Freight Train Transfer Inspection (ATTI)

50.00% 25.00% 0 1 0 0 0 1 0 1 0 Medium Regulatory Moderate Government

Air traffic control coordinated procedures

50.00% 50.00% 0 0 0 1 0 0 0 1 1 Medium Co-operative Moderate Private Sector

Alternative fuels use (aviation)

33.00% 34.00% 0 0 0 1 1 1 0 1 1 Medium, Long Regulatory High Government, Private Sector 15% - 80%

Alternative fuels use (railway)

33.00% 34.00% 0 1 0 0 1 1 0 1 1 Medium, Long Regulatory High Government, Private Sector

Alternative fuels use (road)

33.00% 34.00% 1 0 0 0 1 1 0 1 1 Medium, Long Regulatory High Government, Private Sector

Alternative fuels use (shipping)

33.00% 34.00% 0 0 1 0 1 1 0 1 1 Medium, Long Regulatory High Government, Private Sector

Application of 5G maritime technology

80.00% 10.00% 0 0 1 0 1 0 0 1 1 Medium Technology Moderate Government, Private Sector, Development Agencies

Application of global technical standards and regulations in freight transport (UNECE, IMO, IATA, etc.)

20.00% 40.00% 1 1 1 1 1 1 0 1 1 Long Regulatory Moderate Government

Articulated trains

50.00% 30.00% 0 1 0 0 0 0 0 1 1 Medium Technology Moderate Government, Private Sector, Development Agencies Energy efficiency improvement: 2% - 5%; 1% - 2%

Automated sheeting systems (truck/handling of goods/road)

25.00% 0.00% 1 0 0 0 1 0 0 0 1 Short Technology Moderate Private Sector

Autopilot upgrade/ adjustment (shipping)

50.00% 50.00% 0 0 1 0 1 0 0 0 1 Short Technology Moderate Private Sector 0.5% - 3%

Aviation voluntary carbon offsetting measures

75.00% 25.00% 0 0 0 1 0 0 0 0 1 Medium Behavioral/Operational High Private Sector

Awareness building among staff

40.00% 50.00% 0 0 0 1 1 0 0 1 1 Long Management Moderate, High Government, Private Sector 0.1%