Replication package for: Urban Public Transit Frequency Indicator in Germany

EN: This dataset provides local public transit frequency indicator for all German cities with populations exceeding 50,000. The spatial resolution is based on 1 km grid cells. Open-source public transit feed data (GTFS) served as input for an advanced geoprocessing workflow. A spatio-temporal filtering approach was applied to model GTFS data on a weekly basis—averaging values for weekdays, Saturdays, and Sundays—as well as during peak traffic hours (morning: 06:00–08:59; afternoon: 14:00–16:59). The resulting feature layers contain hourly departure counts for each public transit service mode (local and regional) at every transit stop within the selected time periods. This point-based dataset was used to calculate a public transit frequency indicator. Regional transit services were assigned a higher weight than local modes, based on the assumption that regional transport typically offers greater capacity than local options such as buses and trams. A maximum walking distance of 500 meters was assumed for transit users. The input Iso-Area size was set to 1,000 meters in the point-based network interpolation algorithm, implemented using the QNEAT3 plugin in QGIS. This algorithm utilized OpenStreetMap road network data and shortest-path optimization criteria. Additionally, open source data from the INSPIRE grid was employed as a standardized raster mask for geoprocessing and adminitrative boundary of cites to provide aggregated statistics at city scale.