transport, freight train, electric

Unit: ton kilometer
Reuse license: CC BY 4.0
Published: 2026-07-15
Version: 1.0.0
Technology maturity: See quality profile

Description

This dataset provides 1 ton-kilometer of freight rail transport in RoW using a electric locomotive configuration. Within this workbook, the transport rows are structured as comparative decarbonization scenarios across diesel-electric, catenary-electric, and hydrogen fuel-cell traction for regional rail freight. This activity should therefore be read as a scenario-specific transport service inventory rather than as a generic average freight-rail market dataset.

Source

Scientific journal publication

Primary source: Wolff, S., Seidenfus, M., Gordon, K., Alvarez, S., Kalt, S., & Lienkamp, M. (2020). Scalable Life-Cycle Inventory for Heavy-Duty Vehicle Production. Sustainability, 12, 5396. https://doi.org/10.3390/su12135396. The workbook also documents activity-specific assumptions from ABB BORDLINE product information, Vossloh UKlight locomotive data, Frischknecht et al. (1996), and Statista; consult the original workbook notes for details.

Dataset details Expand Collapse

Dataset details

Classification: Rail freight (transport/rail/freight)
Background database: ecoinvent / 3.9
Background system model: cut-off
Biosphere database: ecoinvent / 3.9
Bookmarks: 0
Raw file downloads: 0
Generated export downloads: 0

These are the source profiles for this version. Foreground modelling assumptions and allocation belong in the dataset description.

Classification path: Transport > Rail transport > Rail freight

Keywords

External references

Publication DOI: 10.3390/su12135396
Other Source: repository.tudelft.nl

Commercial maturity stage: Mature commercial
Design capacity: Not provided
Design capacity unit: Not provided
Capacity factor: Not provided
Annual production volume: Not provided
Annual production volume unit: Not provided
Annual production volume year: Not provided
Plant lifetime: Not provided

Precalculated screening profile

Environmental impacts

Results per ton kilometer, using UVEK 2025 and the ecoinvent 3.10 biosphere. Exchange rows are shaded from green to red by relative contribution to the selected indicator.

Exchange impact indicator (EF v3.1)

Climate change 0.0194414 kg CO2-Eq / ton kilometer

Screening result

This screening result uses Brightpath mappings from the source background to UVEK 2025; mapped suppliers are not claims of scientific equivalence.

Show all 16 indicator totals

Acidification 7.3706e-05 mol H+-Eq / ton kilometer

Climate change 0.0194414 kg CO2-Eq / ton kilometer

Freshwater ecotoxicity 0.0650601 CTUe / ton kilometer

Freshwater eutrophication 5.5405e-06 kg P-Eq / ton kilometer

Marine eutrophication 2.4669e-05 kg N-Eq / ton kilometer

Terrestrial eutrophication 0.00026355 mol N-Eq / ton kilometer

Human toxicity, cancer 1.9799e-11 CTUh / ton kilometer

Human toxicity, non-cancer 2.6325e-10 CTUh / ton kilometer

Ionising radiation 0.0055261 kBq U235-Eq / ton kilometer

Land use 0.0661044 dimensionless / ton kilometer

Ozone depletion 3.3499e-10 kg CFC-11-Eq / ton kilometer

Particulate matter 1.7302e-09 disease incidence / ton kilometer

Photochemical ozone formation 8.8140e-05 kg NMVOC-Eq / ton kilometer

Resource use, fossils 0.261657 MJ, net calorific value / ton kilometer

Resource use, minerals and metals 1.2328e-07 kg Sb-Eq / ton kilometer

Water use 0.676318 m3 world Eq deprived / ton kilometer

Calculation details

Profile uvek-2025-ef-v3-1-4e70d56a85b1 · artifact 4e70d56a85b1 · calculated 2026-09-30 14:09 UTC. These screening results do not replace a reviewed comparative LCA.

Exchange	Reference / categories	Amount	Unit	Metadata	Climate change contribution
transport, freight train, electric RoW	transport, freight train	1	ton kilometer	-	Reference flow

Exchange	Reference / categories	Amount	Unit	Metadata	Climate change contribution
Ammonia	air	1.35e-08	kilogram	Metadata (1) Comment 2.0E-05 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Benzene	air	6.77e-08	kilogram	Metadata (1) Comment 1.0E-04 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Cadmium II	air	6.77e-12	kilogram	Metadata (1) Comment 1.0E-08 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Carbon dioxide, fossil	air	2.13e-03	kilogram	Metadata (1) Comment 3.146 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0.00212984 kg CO2-Eq / ton kilometer 11.0% of total EF biosphere factor
Carbon monoxide, fossil	air	1.07e-05	kilogram	Metadata (1) Comment 1.58E-02 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Chromium III	air	3.38e-11	kilogram	Metadata (1) Comment 5.0E-08 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Copper ion	air	1.15e-09	kilogram	Metadata (1) Comment 1.7E-06 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Dinitrogen monoxide	air	6.77e-08	kilogram	Metadata (1) Comment 1.0E-04 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	1.8482e-05 kg CO2-Eq / ton kilometer 0.1% of total EF biosphere factor
Iron ion	soil	1.24e-05	kilogram	Metadata (1) Comment 1.24E-05 kg/tkm, emission of particulates due to abrasion from rail tracks, wheels,and brakes Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Lead II	air	7.45e-14	kilogram	Metadata (1) Comment 1.1E-10 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Mercury II	air	1.35e-14	kilogram	Metadata (1) Comment 2.0E-11 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Methane, fossil	air	8.80e-08	kilogram	Metadata (1) Comment 1.3E-04 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	2.6227e-06 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
NMVOC, non-methane volatile organic compounds	air	3.55e-06	kilogram	Metadata (1) Comment 5.25E-03 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Nickel II	air	4.74e-11	kilogram	Metadata (1) Comment 7.0E-08 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Nitrogen oxides	air	3.72e-05	kilogram	Metadata (1) Comment 5.5E-02 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Particulate Matter, < 2.5 um	air	8.33e-07	kilogram	Metadata (1) Comment 1.28E-03 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Particulate Matter, > 10 um	air	1.77e-05	kilogram	Metadata (1) Comment 4.59E-05 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007), plus 1.77E-05 kg/tkm, emission of particulates due to abrasion from rail tracks, wheels,and brakes Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Particulate Matter, > 2.5 um and < 10um	air	1.64e-05	kilogram	Metadata (1) Comment 1.07E-04 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007), plus 1.63E-05 kg/tkm, emission of particulates due to abrasion from rail tracks, wheels,and brakes Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Selenium IV	air	6.77e-12	kilogram	Metadata (1) Comment 1.0E-08 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Sulfur dioxide	air	4.06e-07	kilogram	Metadata (1) Comment 6.0E-04 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Sulfur hexafluoride	air	3.14e-09	kilogram	Metadata (1) Comment 3.14E-09 kg/tkm, emission of particulates due to abrasion from rail tracks, wheels,and brakes Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	7.9128e-05 kg CO2-Eq / ton kilometer 0.4% of total EF biosphere factor
Toluene	air	2.71e-08	kilogram	Metadata (1) Comment 4.0E-05 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Xylene	air	2.71e-08	kilogram	Metadata (1) Comment 4.0E-05 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor
Zinc II	air	6.77e-10	kilogram	Metadata (1) Comment 1.0E-06 kg/kg fuel for diesel locomotives, according to Spielmann et al. (2007) Spielmann, M., Bauer, C., Dones, R., Institut, P. S., & Tuchschmid, M. (2007). Transport Services. Swiss Centre for Life Cycle Inventories, ecoinvent report No. 14.	0 kg CO2-Eq / ton kilometer 0.0% of total EF biosphere factor

Exchange	Reference / categories	Amount	Unit	Metadata	Climate change contribution
market group for diesel GLO	diesel	6.77e-04	kilogram	Metadata (1) Comment The energy consumption for shunting processes is added. The shunting process is assumed to be done by diesel shunting locomotives exclusivley. The specific diesel consumption for the shunting is taken from the regional ecoinvent datasets "transport, freight train, electric".	0.000616361 kg CO2-Eq / ton kilometer 3.2% of total BAFU:2025
market for electricity, high voltage AM	electricity, high voltage	3.61e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.1275e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage AO	electricity, high voltage	8.29e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.1891e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage AU	electricity, high voltage	1.23e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.1400e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, high voltage AZ	electricity, high voltage	1.20e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0419e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage BD	electricity, high voltage	3.95e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.6097e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, high voltage BH	electricity, high voltage	1.01e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.7412e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage BJ	electricity, high voltage	7.90e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.8508e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage BN	electricity, high voltage	2.13e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.8447e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage BW	electricity, high voltage	2.30e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.9937e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage CD	electricity, high voltage	5.97e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.1801e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage CG	electricity, high voltage	3.98e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.4537e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage CI	electricity, high voltage	4.85e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.2039e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage CM	electricity, high voltage	2.93e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.5440e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage CY	electricity, high voltage	2.71e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.3508e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage DZ	electricity, high voltage	3.94e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.3168e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, high voltage EG	electricity, high voltage	9.93e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.7260e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, high voltage ER	electricity, high voltage	2.33e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.0194e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage ET	electricity, high voltage	7.49e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.1043e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage GA	electricity, high voltage	1.39e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.2083e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage GE	electricity, high voltage	6.46e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.6055e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage GH	electricity, high voltage	8.43e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.3107e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage HK	electricity, high voltage	2.72e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.3619e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage ID	electricity, high voltage	1.01e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.5687e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, high voltage IL	electricity, high voltage	3.29e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.8552e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, high voltage JO	electricity, high voltage	9.33e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.0908e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage JP	electricity, high voltage	4.73e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000266168 kg CO2-Eq / ton kilometer 1.4% of total BAFU:2025
market for electricity, high voltage KE	electricity, high voltage	5.41e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.6945e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage KG	electricity, high voltage	8.23e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.1368e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage KH	electricity, high voltage	6.42e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.5694e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage KP	electricity, high voltage	7.38e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.3979e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage KR	electricity, high voltage	2.99e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000165419 kg CO2-Eq / ton kilometer 0.9% of total BAFU:2025
market for electricity, high voltage KZ	electricity, high voltage	5.60e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.7562e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, high voltage LB	electricity, high voltage	7.86e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.8178e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage LK	electricity, high voltage	8.22e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.1326e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage LY	electricity, high voltage	1.74e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.5077e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage MA	electricity, high voltage	2.02e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.6573e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, high voltage MM	electricity, high voltage	1.24e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0723e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage MN	electricity, high voltage	4.59e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.9808e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage MU	electricity, high voltage	7.97e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.9104e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage MY	electricity, high voltage	9.02e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.7975e-05 kg CO2-Eq / ton kilometer 0.3% of total BAFU:2025
market for electricity, high voltage MZ	electricity, high voltage	8.75e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.5901e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage NA	electricity, high voltage	2.48e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.1531e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage NE	electricity, high voltage	8.07e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.0044e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage NG	electricity, high voltage	1.36e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.2667e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage NP	electricity, high voltage	4.23e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.6656e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage NZ	electricity, high voltage	2.41e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.8176e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage OM	electricity, high voltage	2.03e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.7621e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage PH	electricity, high voltage	5.57e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.4634e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, high voltage PK	electricity, high voltage	7.07e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.7263e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, high voltage QA	electricity, high voltage	1.04e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.2634e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage SD	electricity, high voltage	9.10e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.8983e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage SG	electricity, high voltage	2.52e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.4146e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, high voltage SN	electricity, high voltage	2.25e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.9559e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage SS	electricity, high voltage	2.97e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.5726e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage SY	electricity, high voltage	8.42e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.3031e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage TG	electricity, high voltage	8.56e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.4278e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage TH	electricity, high voltage	6.35e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.8520e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, high voltage TJ	electricity, high voltage	9.80e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.5027e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage TM	electricity, high voltage	9.89e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.5822e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage TN	electricity, high voltage	1.05e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.3620e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage TR	electricity, high voltage	1.48e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.9765e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, high voltage TW	electricity, high voltage	1.26e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.4158e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, high voltage TZ	electricity, high voltage	4.22e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.6360e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage UZ	electricity, high voltage	3.48e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.0220e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage VN	electricity, high voltage	1.23e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.5057e-05 kg CO2-Eq / ton kilometer 0.3% of total BAFU:2025
market for electricity, high voltage YE	electricity, high voltage	1.41e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.2260e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage ZM	electricity, high voltage	7.78e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.7465e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, high voltage ZW	electricity, high voltage	4.64e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.0217e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage AM	electricity, medium voltage	5.56e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.9778e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage AO	electricity, medium voltage	1.27e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1406e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage AU	electricity, medium voltage	1.90e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000127102 kg CO2-Eq / ton kilometer 0.7% of total BAFU:2025
market for electricity, medium voltage AZ	electricity, medium voltage	1.85e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.6572e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage BD	electricity, medium voltage	6.07e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.0739e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, medium voltage BH	electricity, medium voltage	1.57e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.4023e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage BJ	electricity, medium voltage	1.21e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0797e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage BN	electricity, medium voltage	3.27e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.9310e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage BW	electricity, medium voltage	3.52e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.1512e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage CD	electricity, medium voltage	9.08e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.1368e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage CG	electricity, medium voltage	5.82e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.2127e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage CI	electricity, medium voltage	7.36e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.5890e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage CM	electricity, medium voltage	4.44e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.9805e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage CY	electricity, medium voltage	4.19e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.7558e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage DZ	electricity, medium voltage	6.05e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.6264e-05 kg CO2-Eq / ton kilometer 0.2% of total BAFU:2025
market for electricity, medium voltage EG	electricity, medium voltage	1.51e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.3574e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, medium voltage ER	electricity, medium voltage	3.56e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.1893e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage ET	electricity, medium voltage	1.13e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.4759e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage GA	electricity, medium voltage	2.13e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.9117e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage GE	electricity, medium voltage	9.97e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.9286e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage GH	electricity, medium voltage	1.29e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1535e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage HK	electricity, medium voltage	4.22e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.7820e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage ID	electricity, medium voltage	1.56e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000133939 kg CO2-Eq / ton kilometer 0.7% of total BAFU:2025
market for electricity, medium voltage IL	electricity, medium voltage	5.08e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.9061e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, medium voltage JO	electricity, medium voltage	1.42e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.2754e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage JP	electricity, medium voltage	7.42e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000422778 kg CO2-Eq / ton kilometer 2.2% of total BAFU:2025
market for electricity, medium voltage KE	electricity, medium voltage	8.16e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.3126e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage KG	electricity, medium voltage	1.26e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1247e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage KH	electricity, medium voltage	9.87e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.8461e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage KP	electricity, medium voltage	1.13e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0093e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage KR	electricity, medium voltage	4.64e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000259047 kg CO2-Eq / ton kilometer 1.3% of total BAFU:2025
market for electricity, medium voltage KZ	electricity, medium voltage	8.63e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	7.4406e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, medium voltage LB	electricity, medium voltage	1.21e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0827e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage LK	electricity, medium voltage	1.27e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1354e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage LY	electricity, medium voltage	2.64e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.3660e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage MA	electricity, medium voltage	3.09e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.5744e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, medium voltage MM	electricity, medium voltage	1.89e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.6941e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage MN	electricity, medium voltage	7.06e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.3205e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage MU	electricity, medium voltage	1.23e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0989e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage MY	electricity, medium voltage	1.39e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000106491 kg CO2-Eq / ton kilometer 0.5% of total BAFU:2025
market for electricity, medium voltage MZ	electricity, medium voltage	1.33e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1957e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage NA	electricity, medium voltage	3.84e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.4355e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage NE	electricity, medium voltage	1.23e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1062e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage NG	electricity, medium voltage	2.08e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	9.7991e-06 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, medium voltage NP	electricity, medium voltage	6.46e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.7886e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage NZ	electricity, medium voltage	3.72e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.5233e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage OM	electricity, medium voltage	3.13e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.8010e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage PH	electricity, medium voltage	8.58e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.9962e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for electricity, medium voltage PK	electricity, medium voltage	1.08e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	5.8296e-05 kg CO2-Eq / ton kilometer 0.3% of total BAFU:2025
market for electricity, medium voltage QA	electricity, medium voltage	1.61e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.2638e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage SD	electricity, medium voltage	1.37e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.2292e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage SG	electricity, medium voltage	4.01e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.2709e-05 kg CO2-Eq / ton kilometer 0.1% of total BAFU:2025
market for electricity, medium voltage SN	electricity, medium voltage	3.44e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	3.0813e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage SS	electricity, medium voltage	4.59e-07	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.1134e-08 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage SY	electricity, medium voltage	1.28e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1437e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage TG	electricity, medium voltage	1.31e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.1759e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage TH	electricity, medium voltage	9.78e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.0214e-05 kg CO2-Eq / ton kilometer 0.3% of total BAFU:2025
market for electricity, medium voltage TJ	electricity, medium voltage	1.50e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.3450e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage TM	electricity, medium voltage	1.51e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.3551e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage TN	electricity, medium voltage	1.60e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	8.3479e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage TR	electricity, medium voltage	2.27e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000124879 kg CO2-Eq / ton kilometer 0.6% of total BAFU:2025
market for electricity, medium voltage TW	electricity, medium voltage	1.96e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000131728 kg CO2-Eq / ton kilometer 0.7% of total BAFU:2025
market for electricity, medium voltage TZ	electricity, medium voltage	6.48e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	2.5668e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage UZ	electricity, medium voltage	5.38e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	4.8178e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage VN	electricity, medium voltage	1.89e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000101986 kg CO2-Eq / ton kilometer 0.5% of total BAFU:2025
market for electricity, medium voltage YE	electricity, medium voltage	2.12e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.8960e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage ZM	electricity, medium voltage	1.20e-05	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	1.0746e-06 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market for electricity, medium voltage ZW	electricity, medium voltage	7.08e-06	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	6.3384e-07 kg CO2-Eq / ton kilometer 0.0% of total BAFU:2025
market group for electricity, high voltage RLA	electricity, high voltage	8.19e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000217097 kg CO2-Eq / ton kilometer 1.1% of total BAFU:2025
market group for electricity, high voltage RME	electricity, high voltage	4.62e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.00028008 kg CO2-Eq / ton kilometer 1.4% of total BAFU:2025
market group for electricity, high voltage RNA	electricity, high voltage	2.58e-03	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000991619 kg CO2-Eq / ton kilometer 5.1% of total BAFU:2025
market group for electricity, medium voltage RLA	electricity, medium voltage	1.25e-03	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000340319 kg CO2-Eq / ton kilometer 1.8% of total BAFU:2025
market group for electricity, medium voltage RME	electricity, medium voltage	7.09e-04	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.000438312 kg CO2-Eq / ton kilometer 2.3% of total BAFU:2025
market group for electricity, medium voltage RNA	electricity, medium voltage	4.01e-03	kilowatt hour	Metadata (1) Comment The primary energy consumption (used for the traction/transport of the freight train) is calculated using the final energy for the given region and type of train (electric, diesel, or hydrogen) in EJ/yr, divided by the energy service variable for the given region and type of train in bn tkm/yr, for the year 2020, taken from the REMIND model for the SSP2-Base scenario. For the RoW dataset, the output variables from REMIND were for all locations with a lci dataset were substracted from the World dataset. This represents the RoW dataset. The electricity usage per region is determined by multiplying the total RoW electricity per tkm consumption with the shares electricity of the regions contained in the RoW ecoinvent dataset.	0.00156242 kg CO2-Eq / ton kilometer 8.0% of total BAFU:2025
production of locomotive, electric catenary GLO	locomotive, electric catenary	7.11e-10	unit	Metadata (1) Comment taken from ecoinvent inventory "transport, freight train, electricity - RoW"	0.000435169 kg CO2-Eq / ton kilometer 2.2% of total CLIC v1.0.0
market for maintenance, locomotive GLO	maintenance, locomotive	7.11e-10	unit	Metadata (1) Comment taken from ecoinvent inventory "transport, freight train, electricity - RoW"	7.1309e-05 kg CO2-Eq / ton kilometer 0.4% of total BAFU:2025
market for goods wagon GLO	goods wagon	4.59e-08	unit	Metadata (1) Comment taken from ecoinvent inventory "transport, freight train, electricity - RoW"	0.00266287 kg CO2-Eq / ton kilometer 13.7% of total BAFU:2025
market for maintenance, goods wagon GLO	maintenance, goods wagon	4.59e-08	unit	Metadata (1) Comment taken from ecoinvent inventory "transport, freight train, electricity - RoW"	0.00259399 kg CO2-Eq / ton kilometer 13.3% of total BAFU:2025
market for railway track GLO	railway track	9.29e-05	meter-year	Metadata (1) Comment taken from ecoinvent inventory "transport, freight train, electricity - RoW"	0.00378023 kg CO2-Eq / ton kilometer 19.4% of total BAFU:2025

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Version 1.0.0	2026-07-15	Current view

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transport, freight train, electric

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Description

Source

Dataset details

Keywords

External references

Technology characterization

Environmental impacts

Dataset contents

Reference flow

Emissions

Technosphere inputs

Parameters

Supply-chain graph

Quality and maturity

Curator-led bulk import

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