Our objective:
We will develop a policy analysis tool of the MaaS landscape to advise policymakers on challenges and policies that need to be addressed to move towards integrated, accessible and sustainable mobility across transportation modes.
We will extend this tool with scenario-based policies recommendations for future-looking and successful governance models.
Task 1 – Policy analysis and governance models for the current situation
- Collect inputs from previous work packages (i.e. the applied MaaS Index in WP2 and the outcomes of the workshops carried out in WP3).
- Organize a workshop involving all partners, in order to exchange and consolidate the knowledge of previous tasks and feed a qualitative computer-based policy analysis tool.
- Implement a decision support tool to reflect the relevant aspects and interconnections of the MaaS landscape, followed by a policy analysis to identify levers to be activated in order to maximize impacts and minimize resistance during implementation.
- Deliver a set of recommendations for governance models for European cities, existing technologies and market shares.
Task 2 – Future scenarios and final recommendations
- Prepare future scenarios based on literature research and available practice.
- Define future scenarios together with the activity partners in the same workshop organized for the development of the policy analysis tool.
- Analyze future scenarios and develop an extended policy decision tool for the advice on the best governance model taking into account a variety of factors (e.g. related to characteristics of citizens, built environment, business models of mobility providers, level of adoption, diffusion rate, level of technology available and so on).
Expected output of the activity
- In-progress report: “Governance model for European cities, existing technologies and market shares”.
- Overview of suitable regulations and successful governance models which would secure and strengthen the mobility market.
- Set of concrete recommendations on what need to be addressed to move towards a successful MaaS implementation.