Transport, as the sector with the highest emissions, is at the centre of the Austrian climate strategy. This affirms that mobility must be maintained and promoted in any case, but that the principle of avoid - shift - improve must be applied in order to organise it in a much more sustainable form.

Only a wide range of different measures can do justice to this principle. A Mobility-as-a-Service (MaaS) platform makes it possible to provide existing and future mobility offers seamlessly and attractively for future users, thus creating the turnaround to a "transport efficient society". Currently, however, there are still a number of obstacles in social, legal, regional and organisational terms.

The main goal of the DOMINO research project is therefore the development of a universal, publicly accessible mobility service that is as barrier-free as possible for all users and at the same time supports the mobility and climate goals of the public sector.

In three pilot regions, new services are to be created based on user needs and existing services are to be integrated into a single "MaaS made in Austria" system. Mobility-as-a-Service (MaaS) is defined as a user-oriented, multi- and intermodal service that largely integrates the offers of existing mobility providers in the three core components "multimodal travel information", "booking/reservation/payment/billing" and "sharing mobility" and at the same time acts as a basis for new services. Ultimately, everything should be conveniently available from a single source for the users of the various mobility services.

Besides developing and testing a MaaS app for the pilot regions, is a goal of the project to assess the impact of MaaS in the future. For this purpose, AIT is using its MATSim simulation for carrying out this impact analysis. For the regions of Salzburg, Linz and Vienna, MATSim models are developed and the different use cases like P+R for commuting and construction operations are implemented and its effect on the traffic and mode choice is evaluated. The preference for carpooling is modeled by using results from an SP-off-RP (stated/revealed preference) survey. The Dynamic Ride Sharing (DRS) extension was developed for MATSim as part of the project. This enables agents to ride with other agents in the vehicle. This extension is openly accessible at github.

The project results were presented at the 103rd Annual Meeting of the Transportation Research Board in Washington, D.C., USA. A journal publication in Transportation describes results of a sensitivity analysis of the parameters of the DRS module.