Author: mieboss

Our poster at this year’s SCCER Mobility conference showed insights gained from the SBB Green Class project. It could be seen that a Mobility as a Service offer such as SBB Green Class (including public transport passes, an electric car, etc.) may substantially lower the carbon footprint of people using it. At the SCCER CREST conference we got the chance to present the (now almost completed) GoEco! project and the insights gained from it. Especially people living in rural areas showed significant mobility behavior changes for all routes they systematically travel.

We welcome Dr. Pengxiang Zhao as our newest team member. With his experience in mobility and movement analysis Pengxiang will make a perfect addition to our team, taking the role of lead researcher.

The ETH Zürich Energy Science Center featured an article about our ongoing project with the Swiss Federal Railways (SBB) titled “Capturing Usage Patterns Of A Comprehensive Mobility-As-A-Service Offer With GPS-Tracking – First Results From The SBB Green Class Project” on their Spotlight on Energy Research blog. You can read the full article here. At this point we would like to thank the Energy Science Center again for giving us the opportunity to present our research to their audience!

Our team member Dr. David Jonietz was recently interviewed by Bulletin, the leading Swiss magazine for electrical engineering and industry, on current research activities and projects of the MIE Lab.

Read the resulting article about future mobility concepts in Switzerland here (in German).

The ETH Zürich Energy Science Center featured an article about “From Location Tracking To Personalized Eco-Feedback: Results From The GoEco! Study” on their Spotlight on Energy Research blog. You can read the full article here. At this point we would like to thank the Energy Science Center for giving us the opportunity to present our research to their audience!

Our paper “Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches” has been accepted at the ISPRS International Journal of Geo-Information. We are very happy to announce that it is also featured as cover story of the respective special issue!
For more information, visit our publications site.

The SBB (Swiss Railway) have officially launched the new SBB Green Class Mobility Package which combines various sustainable means of transportation and services for road and railway.
Researchers from the MIE Lab will further on provide scientific support for this exciting project.

For more information visit SBB Green Class

Together with colleagues from the University of Illinois at Urbana-Champaign, we are organising a workshop on “Spatial Big Data and Machine Learning in GIScience” at this year’s GIScience conference in Melbourne, Australia.
If you are interested in the process of generating knowledge from large spatial datasets, please note the 1st Call for Papers on the workshop website.

Our full paper “Identifying and Interpreting Clusters of Persons with Similar Mobility Behaviour Change Processes” has been accepted at AGILE 2018 in Lund, Sweden!
For more information, visit our publications site.