The acceleration of technology evolution is changing urban mobility at a much faster pace than we have seen in previous decades, leading to an increasingly uncertain future. We need data collection methods, models and decision support tools which allow us to explore alternative futures, devise new policies to guide the deployment of emerging mobility solutions, and assess conventional interventions in the light of these new modes. The proposed methodology comprises six main stages:
Future scenarios relevant for mobility planning in Europe are identified, as well as relevant policy objectives and measures.
New data fusion and analysis methodologies are developed to characterise the mobility patterns of different population segments and identify the main drivers of the travel behaviour, with special focus on the adoption of new mobility systems.
The insights gained from the data analysis work are used to formulate, calibrate and validate data-driven models of new mobility systems’ demand and supply.
The new data analysis and transport modelling approaches are used to enhance existing simulation tools and to develop interactive tools for mobility monitoring and management.
The tools and techniques developed in the previous steps are demonstrated and evaluated through four case studies in the four MOMENTUM cities.
The results of the case studies are used to derive conclusions on how to maximise the benefits of new mobility systems and avoid potentially negative effects. A set of practical recommendations for the effective use of the project’s results are produced.
