Objective
The growing motorization in our cities has led to an increase in traffic congestion, noise, pollution, carbon emissions and concerns about road safety, resulting in social, environmental, and economic consequences. AntifragiCity’s overall aim is to pave the way to a new urban mobility governance approach that enables cities to understand their business-as-usual modus-operandi (defined as their state of equilibrium) and to monitor (near) real-time continuous stressors and deviations from this state, assess potential implications through simulation and prediction capabilities, evaluate mobility triage scenario public acceptability and justice, and inform adapted decision making to mitigate their consequences, while continuously enhancing sustainability and resilience.
AntifragiCity will pave the way to antifragile mobility urban systems that (a) exploit an adapted framework and associated KPIs to continuously monitor the level of resilience of urban mobility and detect (near) real-time potential stressors; (b) characterize these stressors as well as their level of severity thanks to an event ontology; (c) devise adapted short-term responses based on a mobility triage decision support system; (d) simulate and analyse multi-objective transportation management strategies to improve long-term performance of urban mobility and transport systems, through a wide range of measures, including adaptive traffic management systems that ad-just in real-time to disruptions, predictive analytics to preemptively address potential system stressors and innovative, energy-efficient solutions like dynamic routing and adaptive lighting, (e) employ participative methods to engage citizens through a co-creation process via Living labs in three demonstration cities (Larisa, Odessa, and Bratislava) that addresses both their immediate needs and long-term goals. The project results will be scaled up across our 8 participating countries and wider Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencesknowledge engineeringontology
- social sciencessociologygovernance
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
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Programme(s)
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
CF10 3AT CARDIFF
United Kingdom