Two of the United Nations’ 2030 Agenda goals are ‘Ensuring affordable housing’ and ‘Developing housing in public transport-accessible areas’. Yet one of the most overlooked barriers to achieving these goals is parking regulation. Sweden has over five times more parking spaces than cars, and more parking spaces than people, yet most real estate projects are still required to build additional parking. These mandates, embedded in Sweden’s Planning and Building Act, significantly raise construction costs, increase CO₂ emissions, and create a conflict between legal obligations and climate ambitions.
The core problem is that parking planning remains largely analogue, fragmented and inefficient, despite the availability of high-quality data from traffic flows, geospatial mapping, occupancy sensors and vehicle registries. Meanwhile, the European Union’s Open Data Directive encourages public data reuse to fuel innovation. This is where Parkyria AI comes in.
Parkyria AI is a digital platform developed in collaboration with Swedish municipalities, real estate developers and urban planners. It leverages open data and artificial intelligence to modernise parking and mobility planning, transforming it into a transparent, evidence-based and sustainable process. The project was inspired by Urbanivation’s years of experience facing parking challenges during real estate development. Confronted by these inefficiencies, Urbanivation initiated an innovation project that, after three years, resulted in Parkyria AI. The project is led by Urbanivation, in collaboration with the digitalisation firm Matic Tribe and the City of Stenungsund, where the platform will be piloted in 2025.
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The project aims to drastically reduce the amount of unnecessary parking construction and its emissions and efficiency in the early stages.
By integrating open data, climate metrics and predictive modelling into a collaborative platform that city planners and real estate developers can use during smart mobility planning.
Parkyria AI immediately modernises parking planning, with greater accuracy and alignment with sustainability goals, while reducing costs and emissions and enabling smarter mobility.
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