Well-to-Tank (WtT or W2T) - production and transportation of one liter of fuel.

Tank-to-Wheel (TtW or T2W) - all what happens "after tank", i.e. direct emission of CO₂ (and other gases) from the vehicle internal combustion engine.

Well-to-Wheel (WtW or W2W)- sum of the two above, total life cycle emission - this is the main figure you want to use for reporting and other uses.

CO₂e intensity or specific emission. Shows how much emissions are created to move one tonne of goods for one kilometer, i.e. how effective is the transport. This is a more suitable measure for comparisons than the raw CO₂e, because the total raw number depends also on the distance and the weight of goods. Unit: “grams per tonne-km”, meaning how many grams to move one metric ton for one km was emitted. Typical truck transport value is about 80 g per t-km, and lower value is better.

Carbon Data Index shows how good data input was given to be used for calculations. If only shipper data is given, then this is low (below 20%), if also carrier primary data is available then it is higher, up to 100%. Higher is better. See details below.

Scope 3 Coverage Rate: the share of transports that have emission calculated. In general we try to calculate at least default-based emissions for 100% transports, but sometimes it is not possible due to missing or incorrect data. Typical data issues are inaccurate addresses, missing stop coordinates or completely wrong coordinates so route cannot be found.

Total CO₂e - CO₂ equivalent, standard industry measure which factors in all emitted greenhouse gases (not only CO₂, but also methane etc) with their respective impact. Unit: metric tonne. Lower value is better, but if number of transports or distance increases then it goes up, so for comparison intensity is often better measure.

Transport Performance shows quantity of transports - in tonne-kilometers.

CO₂e reduction potential shows maximum reduction with “optimal scenario” which means lowest possible emission for specific set of transports/lanes. Usually the lowest emission is rail transport, so effectively this is difference between road and rail transport.

Default calculation uses minimal data - loading and unloading locations. If available for given transport, we use weight, mode of transport and general truck properties (e.g. whether it is reefer), otherwise we use standard defaults.

Modeled calculation is more accurate and also takes into account the real route distance from RTV (telemetry we received from the allocated truck, trailer or IoT device), as well as more truck properties (if available).

Primary data calculation collects direct fuel consumption or CO₂ emission data from the vehicles (and trailer if applicable) and uses fuel conversion factors to get accurate values for emissions. Fuel consumption data is available from more advanced telemetry systems. By default we use base factor 3.17 kg Well-to-wheel (2.54 Tank-to-Wheel) CO₂e per litre of fuel for road, and add 20% for industry average assumed empty miles.

Estimated distance is calculated automatically from the shortest route between loading and unloading locations - both locations are mandatory.

Transport mode: road, rail, sea or ocean ship, air, inland waterways - all have very different footprints. Default: road (or ocean if road route is not possible). For "multimodal" transports we try to split them to single mode legs and give emission for each separately.

Gross weight of cargo. Default: 24 tons (for road).

Empty run factor. Default: +20% for road, +50% for rail.

Load factor. How much of full truck capacity is used, by weight. Default: 60%.

Type and size of vehicle, depending on mode: trucks, trailers (e.g. reefer creates extra emissions), ships, trails. Default for road: depends on country; Class40 in most EU countries, Class60 in Nordic countries. Smaller trucks like vans have significantly higher emission intensity.

Fuel type. Default: diesel.

Bio fuel share. Depends on country, European average 5.43%.

Truck emission class (for road). Default: EuEuro6.

Used fuel amount. Default: assume average fuel consumption per km. Loaded automatically from RTV telemetry, if available.

If RTV is working for specific transport, then we recalculate footprint based on real travelled distance. So if the real route was e.g. 30% longer then also the emission result would become correspondingly bigger.

Geographical coordinates: latitude and longitude - suggested for all

Country and Postal Code (zip) - suggested for all (used for trade lane grouping)

UN/LOCODE (for ocean transports)

IATA Airport Code (for air transports)

UIC Country/Code for Rail Station (for rail transports)

Single mode transports have simply specific optional field "Mode": road, rail, ocean, inland waterways or air.

For intermodal transports with multiple modes there are following options:
(1) Most accurate result, suggested: split transport by mode and add each mode as separate transport delivery.
(2) If the split details are not known, but main mode is known (e.g. ocean transport but ports are not known) - specifiy main mode. Then we use nearest ports to loading and unloading as guessed ports.
(3) Sometimes mode is not known at all, e.g. overland intermodal container transports. Mode can be left, then we use "assume road if possible" heuristics, same as for "Transporeon transports". It should be used as the last resort and it will result highest conservative emission estimates.

Provided Excel template includes samples for different modes.

Transporeon transport management historically does not have standard field for transport mode. Transporeon customer connection integration needs to be updated to include transport.mode with one of the standard options as value. This usually requires custom customer project with Transporeon and customer IT involvement.

Customer may have mode indication somehow in vehicle requirement or in a customer-specific parameter field, but emission calculations cannot use these fields directly. Therefore it is handled as "undefined" mode, where we use simple "assume road if possible" heuristical rule: (1) if there is road connection between loading and unloading, then we use road, (2) else (e.g. Europe or Asia to America) we assume ocean. This is generally good heuristics, but it also leads to a few known issues:

GLEC framework