On the 19th and 20th of October 2020, a virtual workshop was held within the framework of the ProMaaS project to co-create a shared image of the main factors shaping the future of MaaS development in Europe.
The workshop, held online because of the COVID-19 pandemic, was jointly organized and facilitated by the Eindhoven University of Technology (TUe) and the Technical University of Munich (TUM), two project partners co-leading Work Package 4 on “Guideline and Recommendation for governance models”. It involved all partners of the consortium, bringing together multi-disciplinary researchers and professionals from the public and private sector from different European countries and with an expertise on MaaS.
The goal of this workshop was to collectively explore the key factors (i.e. trends, drivers, challenges, forces), their interconnections and the critical uncertainties expected to have an impact on MaaS development and to interactively co-create four future MaaS development scenarios.
These scenarios represent different alternative credible futures rather than predictions and are meant to inform the design of appropriate governance models and policies.
The workshop activities consisted of plenary and group work sessions designed and carried out on Miro, an online collaborative whiteboard platform where multiple users can draw, work, and communicate interactively.
The key activities of the workshop included:
- Validation of a set of key factors, previously identified through a desk research.
- Identification of the systemic role of each key factor, under a sensitivity vs influence matrix.
- Classification of the identified factors according to their impact on MaaS development and their level of uncertainty.
- Development of scenario dimensions based on critical uncertainties and construction of a scenario matrix with four scenarios
- Preliminary exploration of the implications for MaaS governance models.
The outcome of the workshop can be used by city policy makers to develop scenarios for their own cities and understand how decisions related to MaaS governance models can impact long-term MaaS development in the whole urban ecosystem.