* Click on the column labels to sort its data.
* 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 |
20.00% | 80.00% | 0.00% | Short, Medium | Technology | Moderate | Private Sector | |||||||||||||
Brake energy recovery / regenerative braking and energy storage (train/railway) |
40.00% | 40.00% | 20.00% | Medium | Technology | Moderate | Government, Private Sector, Development Agencies | 10% - 15% | Energy consumption reduction: 24% | ||||||||||
30.00% | 50.00% | 20.00% | Short | Behavioral/Operational | Low | Private Sector | |||||||||||||
30.00% | 40.00% | 30.00% | Medium | Behavioral/Operational | Moderate | Government, Private Sector, Development Agencies | |||||||||||||
Cold ironing/ Shore side electricity/ Shore-to-ship power (maritime) |
10.00% | 50.00% | 40.00% | Long | Technology | High | Development Agencies, Government | 30% | NOx and particulate reduction: > 95% | ||||||||||
33.00% | 33.00% | 34.00% | Medium | Co-operative | Moderate | Government, Private Sector | |||||||||||||
33.00% | 33.00% | 34.00% | Short | Behavioral/Operational | Low | Private Sector | |||||||||||||
Data exchange program: Freight Logistics Optimization Works (FLOW) (road) |
50.00% | 20.00% | 30.00% | Medium | Technology | Moderate | Government, Private Sector, Development Agencies | ||||||||||||
33.00% | 33.00% | 34.00% | Short | Management | Low | Private Sector | |||||||||||||
10.00% | 60.00% | 30.00% | Long | Technology | High | Government, Private Sector, Development Agencies | |||||||||||||
Distributed acoustic sensing (DAS) technology for railway traffic monitoring |
60.00% | 10.00% | 30.00% | Medium | Technology | Moderate | Government, Private Sector, Development Agencies | ||||||||||||
Driver training in the techniques of fuel efficient driving/ eco-driving (road) |
40.00% | 40.00% | 20.00% | Medium | Management | Low | Government, Private Sector, Development Agencies | Fuel consumption reduction: 5% - 15% | |||||||||||
40.00% | 30.00% | 30.00% | Long | Infrastructure | High | Government, Private Sector, Development Agencies | |||||||||||||
50.00% | 30.00% | 20.00% | Medium | Behavioral/Operational | Low | Government, Private Sector | |||||||||||||
30.00% | 60.00% | 10.00% | Medium | Technology | Moderate, High | Government, Private Sector | |||||||||||||
20.00% | 50.00% | 30.00% | Long | Technology | High | Development Agencies, Government, Private Sector | |||||||||||||
40.00% | 30.00% | 30.00% | Medium | Technology | Moderate, High | Government, Development Agencies | |||||||||||||
Emission reduction: battery operated electric fork lifts (railway) |
30.00% | 40.00% | 30.00% | Short | Technology | Low | Government, Private Sector, Development Agencies | ||||||||||||
40.00% | 40.00% | 20.00% | Long | Technology | High | Government, Development Agencies | |||||||||||||
10.00% | 50.00% | 40.00% | Medium | Regulatory | Moderate | Government |