Transportation distances: Difference between revisions

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== Approximations ==
== Approximations ==
Unfortunately the information on packaging does not allow us to make exact calculations: most of the required information is lacking. If we are fortunate we have the location of the production. With the location of consumption we could calculate the exact distance thanks to OpenStreetMap (or Google Maps). Howver we do not know anything about the logistical route the product took between the two locations. So accuracy to the kilometer is impossible.
Unfortunately the information on packaging does not allow us to make exact calculations: most of the required information is lacking. If we are fortunate we have the location of the production. With the location of consumption we could calculate the exact distance thanks to OpenStreetMap (or Google Maps). However we do not know anything about the logistical route the product took between the two locations. So accuracy to the kilometer is impossible. We need to take averages.


So we need to make some assumptions:
So we need to make some assumptions:
-
- ''population based'': take into account the population size of a region to get better estimates;
- ''simple logistical country chain'': make assumptions how a product is transported between countries. Go from a local production level to the country production center, to the consumption country center to the local consumption level;
- ''NUTS'': use the EU statistical regions. Depending on the required accuracy, it is possible to select a specific NUTS-level;
- ''Google Maps distances'': use Google Maps to calculated distances. These seem to be more trustworthy than the OpenStreetMap distances;

Revision as of 15:25, 31 March 2021

OFF can inform the user on distances involved in the consumption of food. This already partially done by the MadeNearMe website. This can be extended and better integrated within OFF itself. And not only the distance can be added, but also the implied CO2 impact.

The idea is based on the Transportation part of the ecoscore.

Approximations

Unfortunately the information on packaging does not allow us to make exact calculations: most of the required information is lacking. If we are fortunate we have the location of the production. With the location of consumption we could calculate the exact distance thanks to OpenStreetMap (or Google Maps). However we do not know anything about the logistical route the product took between the two locations. So accuracy to the kilometer is impossible. We need to take averages.

So we need to make some assumptions: - population based: take into account the population size of a region to get better estimates; - simple logistical country chain: make assumptions how a product is transported between countries. Go from a local production level to the country production center, to the consumption country center to the local consumption level; - NUTS: use the EU statistical regions. Depending on the required accuracy, it is possible to select a specific NUTS-level; - Google Maps distances: use Google Maps to calculated distances. These seem to be more trustworthy than the OpenStreetMap distances;