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Current publications and projects
Choices of Destinations
How to characterise destination choice behaviour
We love that in a digital world, 'real' people give 'real' places meaning. But how do people choose destinations? Simple descriptive measures can help understand destination behavior, especially with smartphone tracking providing long-term data on visited places and sometimes the purpose of the visit. The authors were even surprised by their own personal data...
Click here for the article...aspern Seestadt
POI attractiveness with mobility data
The Catchment Connectivity Platform plays a central role in this project: based on current catchment areas of important destinations in aspern Seestadt, nudging for more sustainable mobility patterns can be enabled via cooperating mobility apps.
Click here for the article...Next stop: Aldi
Transport infrastructure with ™
There are hundreds of thousands of public transport stops in Germany - in other words, bus and train stops. We have systematically rummaged through the public transport stops from the electronic timetable data and looked at which ones are not named after street names or squares, as is usually the case, but are named after retail names that can be accessed directly at these stops.
Click here for the article...Running smoothly?
The development of cycling after the Covid era
We were able to observe this impressively during COVID: In the years 2020-22, cycling as a mode of transport experienced a significant tailwind. The Bicycle Monitor 2020 reported that 25% of people in Germany cycled significantly or slightly more often in June 2020 than in the previous year. So there is no doubt that the pandemic has brought many more and new users to cycling as a mode of transport. But the question is: are the passionate cyclists of 2020/21 still firmly in the saddle? Let's take a look at the latest data, focussing on major German cities.
Click here for the article...We're going in circles
What Google's data tells us about our mobility
Google recently expanded its modal split time series to include data from 2022. This is a good time to make a data-based assessment of the modal shift. Because now we can see where the journey is heading with the modal shift according to Covid19 - for Germany, the data paints a restrained picture. Let us take a closer look at this data. In doing so, we should not forget a qualitative assessment of the new data jellyfish in terms of reliability and completeness.
Click here for the article...Publications
Some of our team member's work has been described in the publications below. Feel free to have a look!