Disruptive technologies and emerging mobility solutions such as MaaS (Mobility as a Service), CAVs (Connected Automated Vehicles), new shared mobility services and demand responsive transport, are bringing radical changes to urban mobility. The goal of MOMENTUM is to develop a set of new data analysis methods, transport models and planning support tools to capture the impact of these new transport options on the urban mobility ecosystem, in order to support cities in the task of designing the right policy mix to exploit the full potential of these emerging mobility solutions.
The proposed methodology comprises six main stages:
- Conceptual Framework and problem definition: future scenarios relevant for mobility planning in Europe are identified, as well as relevant policy objectives and measures.
- Data collection and analysis: 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.
- Modelling of emerging mobility solutions: 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.
- Simulation, impact assessment and decision support toolset: 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.
- Policy Assessment: the tools and techniques developed in the previous steps are demonstrated and evaluated through four case studies in the four MOMENTUM cities.
- Guidelines and recommendations: 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.