For Neu-Hohenschönhausen, we prepared the first suggested connections through around 290,000 requests to apps and websites of the BVG from the period from 21 June to 18 July 2017 as an interactive web visualisation. From the perspective of the bus/train stops, it is shown which requests came from which area for which selected stops and which was the first or last stop on the requested journey. By providing various filters, the suggested journey times can be compared on different days or at different times of day. Statistical evaluations also show how far citizens have travelled on average from the respective stops and what the most frequent destinations were. With up-to-date and comprehensive data, it would be possible to gain insights into the attractiveness of public transport for certain destinations, the use of the nearest smaller stops, as well as a better understanding of the presumed distance travelled on the way to the first stop or home.
This prototype implementation aims to demonstrate the potential of interactive privacy-friendly data visualisations in the context of urban planning. By democratising the data from public space, participation processes can be promoted that enable a transformation of the residential neighbourhood with its citizens.