URBANAGE assesses the potential benefits, risks, and impact of implementing a long-term sustainable
framework for data-driven decision-making in the field of urban planning for aging well in cities. This model will be developed through an inclusive co-creation strategy with relevant stakeholders (public servants) and users (older adults) and based on a decision-support Ecosystem that integrates multidimensional Big Data analysis; modeling and simulation with Artificial Intelligence algorithms, visualization through Urban Digital Twins, and gamification for enhanced engagement purposes. Based on a thorough understanding of users’ needs, it will be validated by piloting use-cases in three local planning systems in Europe (Helsinki, Santander, and Flanders).
Photo credit: Peter Kindersley
URBANAGE DIGITAL TWINS
The URBANAGE Digital Twin is an extensible platform that allows the city and its processes to be modelled into a virtual replica. This visual city model is then equipped with artificial intelligence and big data analytics capabilities so it can be used for holistic impact simulation, exploration and experimentation of different policy and service ideas. By understanding the systemic results of different policy and service ideas on all parts of the city ecosystem, the most effective decisions can be made by urban planners. Thanks to Digital Twins short-term actions and longer-term policies can be better synchronised so cities can be more adaptive to population needs as the population grows and changes.
More on the URBANAGE Digital Twins can be found here.
With the help Digital Twins URBANAGE will tackle the
challenge of Age-friendly cities and how urban planning needs to be transformed to face an aging society.
Photo by Serena Repice Lentini on Unsplash