MUV promotes a shift towards more sustainable and healthy mobility choices by positively engaging local communities, local businesses, policymakers and Open Data enthusiasts.
MUV – Mobility Urban Values – is a three-year research and innovation project that aims to raise awareness about the quality of urban environment amongst citizens in order to promote a shift towards more sustainable transportation.
The MUV system is based on a combination of behavioural change techniques, new technologies, data science and co-design approaches. The solution will include a mobile app tracking users’ daily routes and assigning points for sustainable behaviours, as well as a network of sensing stations designed by the makers’ communities. Urban commuters from a set of six diverse urban neighbourhoods spread across Europe will co-create and then test different game dynamics, and their achievements will be rewarded by a network of local businesses that will benefit from advertising provided by the MUV platform.
Mobility and environmental data gathered via the mobile app and the monitoring stations, all released as Open Data, will allow policymakers to enhance planning processes and civic hackers to build new services for improving the quality of life in cities.
The MUV solution will be open, co-created with a strong learning community of users and stakeholders and piloted in six different European neighbourhoods: Buitenveldert in Amsterdam, Sant Andreu in Barcelona, the historic district of the Portuguese county of Fundao, Muide-Meulestede in the harbour of Ghent, the new area of Jätkäsaari in Helsinki and the area of Centro Storico in Palermo.
MUV builds on the experience of trafficO2, an Italian research-action project by PUSH – MUV’s Project Coordinator – in the city of Palermo during the last three years. The trafficO2 experimentation, involving 2.000 students of the University of Palermo and a network of 100 local businesses, showed a reduction of the carbon emissions associated to the active users of more than 40%.
MUV is a Research and Innovation Action funded by the European Commission under the call Horizon2020 MG-4.5-2016
Case study date: June 2018
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