Pilot Lead: Informatie Vlaanderen

Image by Elijah G

Flanders is a network of cities and large metropolis areas considered as one single smart region of 6 million people. The Smart Flanders network brings the region together to create the necessary scale for smart city solution- and data providers. A Flanders Digital Twin will play a crucial role to open and democratise available Smart City data to citizens, companies and service providers and to use for co-created policy. 

Digital Twin Goals:  (1) Creating a Smart Region where all players can access available services and data; (2) Support cross-silo cooperation between sectors; (3) Involve citizens and companies active in policy-making processes to improve the quality of decision making and acceptance of the outcomes; (4) Setting up transferable services and data standards to maximise efficiency and open the market.

Policy Goals: The Flanders DUET Digital Twin will concentrate on the design of new measures, implementation of actions and evaluation of the success of actions foreseen in the Flanders Regional Mobility Plan, and the Flanders Environment Plan20 which both aim for smoother mobility through actions that are kinder to the environment and which reduce the impact on human health. These regional plans are translated to specific measures on the local level that can be part of a DUET Digital Twin simulation.


Currently Flanders is a European hot spot for air pollution, alternatives to car transport have been put in place to increase the daily level of physical activity (PA) among the population and reduce air pollution and global warming. To evaluate the impact of existing measures and to help create new ones Flanders will use the Digital Twin to ingest and use vast amounts of data to help the city and its stakeholders explore correlations between the  mobility, health and air data.

Flanders Use Cases



How might we better understand the mobility streams in Flanders, in Flemish cities and neighbourhoods to get a better view of the mobility impact on citizens' lives? 



How might we measure, simulate and understand the impact of noise and air pollution with the goal to improve the living environment of citizens?



How might we measure, simulate and understand the impact of new city developments as new building developments and (attracting) new activities on citizens’ lives?



How might we foresee appropriate safety measures on those places with a higher offence or crime rate to improve citizens' safety?