The SOLUTIONSplus partners have teamed up with expert third parties for the third e-course of the project’s global e-learning programme on electric mobility. Starting in January, this new e-course will focus on Mobility as a Service (MaaS), its role in decarbonising the transport system and its link with Intelligent Transport Systems (ITS) solutions.

The e-course is aimed at a broad range of mobility stakeholders, particularly cities/public authorities wishing to learn more about MaaS, but the course is open to all interested as no technical background is required to follow it. Participants will get an overview of the MaaS ecosystem, including relevant sectors, stakeholder needs and operator requirements.

The e-course is divided into four different units spread out over a few weeks. Unit 1, led by ERTICO, introduces Mobility as a Service and its core concepts. Unit 2, led by POLIS, focuses on the customer needs for MaaS to ensure accessible and affordable services. The standards needed to deploy MaaS in cities, as well as the public vs private approach to MaaS are presented in Unit 3, led by ERTICO. Finally, SWARCO will lead Unit 4, which explores how Intelligent Transport Systems (ITS) can support MaaS.

The course will be in English but all videos from the training programme will also be available with subtitles in both Spanish and Portuguese. Participants will have the opportunity to ask questions and interact with the speakers during a live exchange session that will take place between 6 and 10 February. The e-course is free of charge and will be hosted on the Mobility Academy platform.

Sign up here and join the kick-off webinar on 17 January from 15:00 to 16:00 CET to learn more about what to expect from the e-course and each unit. Instructions on how the Mobility Academy platform works will also be provided.

For more information on the previous trainings organised as part of the SOLUTIONSplus project, please check the SOLUTIONSplus website or the Mobility Academy website.

The SOLUTIONSplus project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875041.