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* max<sub>all origin</sub>(impact(maritime)) - the maximum impact of all maritime origins
 
* max<sub>all origin</sub>(impact(maritime)) - the maximum impact of all maritime origins
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==== Mixed logistics ====
 
If we have the transportation mix this becomes:
 
If we have the transportation mix this becomes:
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* max(impact<sub>origin</sub>(maritime), impact<sub>origin</sub>(road)) - the maximum impact of the two transportation modes for the origin.
 
* max(impact<sub>origin</sub>(maritime), impact<sub>origin</sub>(road)) - the maximum impact of the two transportation modes for the origin.
 
* max<sub>all origin</sub>(impact(maritime)) - the maximum impact of all maritime origins
 
* max<sub>all origin</sub>(impact(maritime)) - the maximum impact of all maritime origins
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==== Country correction ====
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And finally we need to apply a country correction. The lifecycle data is based on France, and especially on the size of France. Any logistics impact should correct for this, i.e. subtract the impact for France and add the impact for a country.
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To do this the mean transportation distance for a country will be estimated and the corresponding environmental impact. The impact for France will be subtracted and the impact for the country added. The mean transportation distance is half of the largest distance that can be travelled in a country.
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The non-mix formula becomes:
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    score<sub>origin</sub>(country) = 100 - (max(impact<sub>origin</sub>(maritime), impact<sub>origin</sub>(road)) - (impact<sub>half</sub>(France, road) - impact<sub>half</sub>(country, road)) / max<sub>all origin</sub>(impact(maritime))*100
    
== Calculation method ==
 
== Calculation method ==
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