Spatial data and data analytics for sustainable mobility

The road to future sustainable mobility requires analysing, evaluating and predicting people’s mobility needs and their resulting consequences, e.g., in terms of greenhouse gas emissions. In this talk, I will argue why and how spatial data analytics supports our understanding of spatio-temporal mobility patterns and the prediction of individual mobility behavior. This further helps with determining the effectiveness of novel mobility services regarding reduction of CO₂ emissions, as well as the impact of people’s behavioral changes. The importance of spatial data analytics will be highlighted by real-world case studies.

Martin Raubal is Professor of Geoinformation Engineering at ETH Zurich. He is also a Steering Committee member of the CSFM and a member of the Future Resilient Systems Management Committee at the Singapore-ETH Centre. Martin’s research interests focus on spatial decision-making for sustainability, more specifically he concentrates on mobile Geographic Information Systems & Location Based Services, analysing spatio-temporal aspects of human mobility, spatial cognitive engineering, and mobile eye-tracking to investigate visual attention while interacting with geoinformation and in spatial decision situations.

"Data is the new oil." Everyone has heard this phrase before. In my presentation, I will show how innovation projects at SBB are supported and driven by different types of data use. With the help of practical examples, I will explain the role of data science and analytics in the innovation process and highlight critical points on the way from the first idea to the productively implemented solution in the operation of the railway company.

Thomas Hettinger studied applied mathematics, specializing in statistics and transport planning. He then joined SBB where he has been working in various positions. As project manager for market and mobility research, he has been responsible for collecting and analyzing information relevant to the market and product development. In this role, he initiated and led the development of the smartphone application "MyWay", which was used for research projects such as "SBB Green Class" or "Yumuv". He is currently responsible for analytics and data science in the "Research and Innovation Management" department of SBB and is engaged in establishing a consistent use of data science in the innovation process as well as with the development of mobility scenarios.