Sustainable mobility and circular economy are key pillars in the fight against the climate crisis, encompassing all modes of transport with minimal or zero impact on the environment. Sustainable mobility of people and goods provides access to education, culture, housing, work, leisure and food, is part of the daily lives of millions of people and is one of the most influential factors on the road to decarbonisation, reducing greenhouse gas emissions, improving the health of citizens and providing economic benefits. For this reason, it is imperative to rethink mobility towards a more sustainable one by exploiting both existing data and sensors in the field. This project aims to build a platform capable of assisting contemporary cities in the transformation towards sustainable, resilient and healthy cities by exploiting existing data and sensors in the field. We propose to build a 2-layered platform committed to: (1) quantitative data processing, which can be fused, processed and visualised, using Big Data processing techniques, to display relevant data and extract relevant information in the field of urban design, and (2) strategic system, which will assist in defining the criteria to help citizens and regional governments to solve the problems derived from the design of contemporary cities. The efficient use of available technologies, aimed at improving the quality of life of the population, will lead to greater care for the environment and the reduction of social inequality. The proposed approach will be integrated into existing decision support systems by providing quantitative and qualitative suggestions on sustainable policy architecture to foster healthy mobility and environmental management.
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