Analyzing the Popularity of Street Segments for Cyclists in the SimRa Dataset

As part of my thesis I developed an approach to determine the popularity of street segments, based on two scores. The popularity score reflects a combination of avoided and chosen street segments (legs). The mixed popularity score additionally includes a safety score, which is derived from (non) scary near miss incidents. I extended the existing SimRa visualization software by additional application logic to allow the calculation of those scores for each street segment in an automated way. By providing eight different map views, I also allowed for a visual evaluation of the findings. Beyond the proposed software extension, my contributions included an extensive documentation of the project and first analytical insights into the street network popularity of Berlin, based on the SimRa dataset.