Aiming to achieve carbon neutrality by 2050, Tallinn has implemented two strategies, which complement each other: Alleviation Plan 2030 and Adaption Plan 2030. Tallinn’s participation in AI4Cities, it joined the project together with five other European cities and regions, should be seen in this context.

Alleviation Plan 2030 aims to lower greenhouse gas emissions by 40% in 2030 compared to the baseline of 2007. In Tallinn’s case, this means the annual GHG emission value has to remain below 2360 kt CO2. The key domains are mobility and housing as these two account for almost all of the GHG emissions, with housing causing 78% and transportation 21% of the emissions (as of 2015). Of Tallinn’s energy consumption a total of 57% comes from the use of fossil fuels of which 65% is caused by the transportation sector.

Adaption Plan 2030 aims to strengthen Tallinn’s ability to combat climate change effects and lower city’s vulnerability in key domains There are several Tallinn-specific climate risks, which arise from the city’s geographical location and urban planning. The primary risks are vulnerability to floods and storms (due to its coastal position), expansion of urban thermal islands and rainwater flooding. The secondary risks include the increase of periods with road glaze, the decrease of days with snowfall and elevated wind speed.

To combat these risks Tallinn has committed itself to:

• manage pre-emptively the risks associated with coastal erosion;
• avoid extensive floods and minimize their effects;
• decrease the number of thermal islands and mitigate their scale;
• lower the usage of private cars by increasing pedestrian and bicycle traffic

As for mobility, Tallinn has set a goal that at least 75% of its citizens will use either carbon neutral public transportation, bicycle or will move by foot. It also wants to ensure that travel between city hubs always lasts fewer than 20 minutes.

The total budget of the aforementioned two 2030 plans amounts to 1.75 billion euros in total.

In conjunction with AI4Cities project, our focus is smart mobility. With the help of AI suppliers, we would like to develop:

• People and traffic flows segment: real-time travel information system (traffic congestion, travel time, transport availability, parking availability) and macro-scale multimodal transport model with origin-destination matrices and travel behaviour analysis.
• Parcel logistics: delivery pre-booking system for local businesses and households with a digital database of all local businesses with geographical coordination and specific delivery requirements.