# Local procurement
A transport score is assigned to each country in order to promote local supply. It is constructed by calculating the carbon impact of the journey of goods between the country of origin and Belgium.
The carbon impact of this trip depends on 2 criteria:
* the distance between the origin and the destination
* the mean(s) of transportation used
The calculation method and the assumptions related to these criteria are detailed below.
## Distances
The distance between the country of origin and the country of destination is calculated from the geographical center of the country of departure and that of Belgium.
For each rail or sea route, 2 truck journeys are taken into account: one in the country of origin between its geographical center and its nearest place of embarkation, the other Belgium its place of disembarkation on closer and the center of Belgium.
The routes were established using the following tools:
{% hint style="info" %}
Les itinéraires ont été établis à partir des outils suivant :
* Routier : [Google Maps](https://www.google.fr/maps)
* Ferroviaire : [EcoTransIT](https://www.ecotransit.org/calculation.fr.html)
* Maritime : [Searates](https://www.searates.com/services/distances-time/)
{% endhint %}
## Means of transportation
For European countries, the score is weighted according to the mode of transport used between the country of origin and France. Due to the lack of specifically Belgian data, and its proximity to France, the same assumptions were used to model the modes of transport to Belgium.
For countries outside Europe, the modal mix considered is 100% maritime.
{% hint style="info" %}
Air and river transport modes were excluded due to their low representativeness (0.1% and 3.4% respectively) - EuroStat 2016 data
{% endhint %}
## CO2 impact measurement
The CO2 impact data (in gCO2e/t.km) come from the[ Carbon Base](https://www.bilans-ges.ademe.fr/fr/basecarbone/donnees-consulter/choix-categorie/siGras/1) (ADEME).
| Means of transportation | Geographical area | Description | CO2 eq / t.km |
| ----------------------- | ---------------------- | -------------------------------------------------------------------------- | ------------- |
| Road | World | Articulated - 34 to 40 tonnes - Road diesel, incorporation of 7% biodiesel | 79g |
| Railway | France | Train - Medium engine - Medium load | 7g |
| Railway | Europe | Freight train | 22g |
| Maritime | Europe / Mediterranean | Cargo - 10,000 to 20,000 tonnes - HFO-MGO | 13g |
| Maritime | Trans-Suez | Container carrier - Dry - Trans-Suez | 7g |
| Maritime | World | Container carrier - Dry - Trans-Atlantique | 11g |
{% hint style="info" %}
The CO2 impact of rail in France is low because electricity comes mainly from nuclear power plants (78%).
{% endhint %}
## Scores by country
The transport score calculated by country using the above methodology is available here :
{% content-ref url="/pages/-MDtbxXO\_nBEgybbFcEJ" %}
[Score by country - Belgium](/eng/methodology/produit/transport/synthese.md)
{% endcontent-ref %}
## Score calculation
The following formula makes it possible to obtain the transport score on 100 points, taking into account ingredients involved in a recipe:
$$
score = \sum\_{i=1}^{n}a\_i\*p\_i
$$
> $$n$$ the number of ingredients\
> $$a\_i$$ the transport score associated with the country or fishing area\
> $$p\_i$$ the percentage of the ingredient present in the recipe
{% hint style="info" %}
The sum of the percentages is always equal to 100 : $$\sum\_{i=1}^{n}p\_i = 100$$
{% endhint %}
The transport score is integrated into the overall product score in the form of a bonus of up to 15 points. The transport bonus is calculated as follows:
$$
bonus = x\*0.15
$$
> $$x$$ corresponds to the transport score
## Sources
ADEME (2020). Base Carbone - Transport de marchandises.
OECD/ITF. (2015). The Carbon Footprint of Global Trade, Tackling Emissions from International Freight Transport.
EUROSTAT. (2009). Panorama of Transport.
FAO. (2020). Matrices du commerce détaillées. FAOSTAT.
MINISTÈRE DE LA TRANSITION ÉCOLOGIQUE ET SOLIDAIRE. (2020). Données sur les flux de marchandises (SitraM) - Année 2015 | Données et études statistiques.
CIRED, SOLAGRO, EDF R\&D, FIRE, & PhiLabs. (2019, janvier). L’empreinte énergétique et carbone de l’alimentation en France de la production à la consommation.
OECD/ITF. (2015). The Carbon Footprint of Global Trade, Tackling Emissions from International Freight Transport.
ALPIFRET. (2011, décembre). Observatoire des trafics marchandises transalpins.
Ministerio de Fomento. (2018, mai). Observatorio hispano-francés de Tráfico en los Pirineos - Documento No 8.
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.score-environnemental.be/eng/methodology/produit/transport.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.