The work presented here is independent and not-for-profit. This work has been carried out on a voluntary basis.
The aim of this web app is to present precise carbon inventories per passenger for each mode of transport and each journey. These results enable users to make informed choices in the context of reducing their greenhouse gas emissions to mitigate climate change. To put these results into context, total net yearly per-capita emissions should not exceed 2 tons CO2eq in 2050 to limit global warming below +2°C.
To calculate CO2 equivalent emissions per person, we multiply the distance of a journey (km) by the corresponding emission factor (mass of CO2 equivalent per person per km) of a mean of transport. For a mutlistep journey, these emissions are summed over the different steps:
Mean of Transport | Distance |
---|---|
Train |
OpenStreetMap network |
Car & Bus & eCar |
OpenStreetMap network |
Bike route |
OpenStreetMap network |
Plane |
Geodesic distance and average detour |
Ferry |
Approximation of shortest path |
Mean of Transport | Variable |
---|---|
Train |
Visited countries |
Bus |
- |
Car |
Number of passengers |
Electric car |
Visited countries & Number of passengers |
Bike route |
- |
Plane |
Distance of journey |
Ferry |
(not yet) User-specified parameters |
Emissions factors consider usage (linked to the manufacture and use of energy to move the vehicle) as well as infrastructure and vehicle construction where these are significant. The table below summarizes the types of emissions taken into account by lowtrip. Empty cells mean that the related emissions did not contribute significantly to the result and are therefore excluded to facilitate understanding and readability for the user.
Mean of Transport | Usage | Vehicle construction | Infrastruture construction |
---|---|---|---|
Train |
✅ | ✅ | |
Car & Bus & eCar |
✅ | ✅ | |
Bike route |
✅ | Not found | |
Plane |
✅ | ||
Ferry |
✅ | Not found | Not found |
All assumptions, data and sources used are available in the methodology document.
Have python & node installed
Go in backend folder :
cd backend
Install the dependencies :
pip install -r requirements.txt
Launch :
gunicorn app:app
Go in frontend folder :
cd frontend
Install the dependencies :
npm install
Launch :
npm start
Bonnemaizon, Xavier, Ni, Clara, Gres, Paola & Pellas, Chiara. lowtrip (2024). https://lowtrip.fr