Under the guidance of Moritz Stefaner (https://truth-and-beauty.net/), together with Anton Schmegner, I have visualized different modes of transportation of Bremen city in context of climate change. The reason why we chose Bremen is because it is the city we live in and could relate our contributions to it. The CO2 emissions come to 15.9 metric tons per capita in Bremen, which is well above the European average of 6.5 metric tons. According to city government, 59% of the CO2 emissions come from industry, 28% from homes, and 13% from transportation. 

The visualization is an appeal to shift priorities, as we have seen in human history, the urge of reaching to a destination always looms around how fast we can get from point A to B and the price index. But with the change in time, a change in our perception is also necessary. Choosing the optimal mode of transportation in regards to the carbon emission, is something we have tried to showcase with this visualization.

For our approach to visualization, we have used isochrones on Bremen city map, with respect to, how much of an area can be covered from a starting point via different modes of transportation. In our case, we chose Bremen Hauptbahnhof as the starting point. The three main, transportations we took into account are cars, Public Transport and Bicycle. Simultaneously, we have bar running beside, visualizing the CO2 emission as the isochrones grows for a given mode of transportation.

We have mapped out Bremen and the routes for different modes of transportation in QGIS, from the nodes extracted from Overpass Turbo. The isochrones have been visualized with the help of HERE API, a python script imported in QGIS. The CO2 bars have been visualized in Processing. The data for carbon emissions in public transport are collected from Bremer Straßenbahn (BSAG).