Following an innovative and integrated modeling approach supported by machine learning algorithms, the CircEUlar research team is designing a comprehensive framework that combines physical urban features, socio-economic and behavioral variables.
A recent study in Transportation Research Part D by Berrill et al. sheds light on sustainable urban living by examining the intricate associations between urban form, car ownership, and travel behavior across nineteen diverse European cities.
Over the past month, T6 Ecosystems, responsible for CircEUlar stakeholder and policy engagement as well as for the project’s communication and dissemination activities, has been conducting expert interviews.
Over the past few months, the University of Groningen, a project partner with CircEUlar, conducted an initial study on factors that influence whether people engage in circular behaviour related to mobility and housing.
Building from a past machine-learning (ML) model analysing the impact of urban form on energy demand, CircEUlar partner INEGI is now working on expanding it to a circularity perspective, with a view at informing policies and strategies towards carbon neutral urban areas.