Hubway Bike Balance presents different aspects of bike station popularity. It shows which stations service most trips and how balanced incoming and outgoing trips were over the last months. Another aspect I explored is the correlation between closeness to public transport (MBTA stations) and bike station popularity.
The map consists of datasets provided by Hubway: A height model which I generalized to a 10×10 meter raster and used as input for a hillshade. Together with the water layer, this hillshade makes for a nice background which I overlaid with population density areas derived from Census blocks and tabular data. MBTA stations and lines form another layer. Using MMQGIS hub distance tool, I calculated distances between Hubway and MBTA stations for the correlation plot.
The Hubway station symbols are scaled by the average number of trips (incoming/2 + outgoing/2 per day) so more popular stations appear bigger. The symbol fill color shows how balanced incoming and outgoing trips are at a station (incoming – outgoing per day). Dark stations are more balanced than brighter ones.
Instead of labeling the stations, I decided to label the neighborhoods. The labels show a nice new cartographic feature in the current QGIS dev version: Transparent label buffers.
The map was created purely in QGIS – without any modifications in Inkscape or Gimp. The correlation plot was prepared in Calc and finished in Inkscape. For the final assembly, I arranged everything in Gimp, added the texts and improved the legend by adding explanations for symbol size.