Abstract

No system currently exhibits greater dynamics of change than that of mobility. Two main drivers in particular are responsible for the high dynamics and quality of change: digitalisation and the imperative of sustainability. Digitalisation opens up completely new mobility offers, business models and possibilities for mobility management. At the same time, these new offers offer potential for sustainable transport development. In Berlin, the Jelbi project is not only the largest model in Europe for the implementation of a Mobility as a Service (MaaS) concept, but the city has also taken ambitious sustainability goals and the first steps towards an appropriate digitalisation strategy and data regulation. One of the most important challenges in the institutional organisation of the digital-based mobility system is successful data governance. How should which data be collected, managed and used? Who is responsible for it? How can mobility and personal data of the data owners be protected and used in a sustainable way? This background paper uses the methodological basis of a scenario-based assessment of ideal types of data regulation, taking Jelbi as an example, to show how these different types affect the practice of Jelbi and the achievement of sustainability goals for the future. Based on this, policy recommendations are formulated that go beyond the use case of Jelbi and are related to the entire Berlin mobility system.

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