Visualizing Bikesharing Trips from StadtRad with

Jun 19, 2018 · 1 minute read Bikesharing Visualizations

A couple of weeks ago, Uber’s Visualization Team released - an Open Source Geospatial Toolbox.

„Build on, „ is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets“ (Uber Engineering Blog)

Uber provides quite impressive maps in their announcement. So I thought to give it a try and check it out.

As we have all seen more than one visualization of taxi trips in New York, I wanted to visualize something else. So why not have a look at bikesharing trips in Hamburg? DB Connect, the bikesharing provider of StadtRad in Hamburg, provides a rich dataset of their bikesharing trips. After a little bit of data preprocessing, I focused on the trips of July 25th, 2016:


The following visualizations describe which routes bikesharing users (probably) have taken. Although DB Connect does not provide GPS data for trips, these routes reflect the shortest path between the start- and end-location of each trip.

Spatial Demand

Now, let’s have a look at the spatial demand. When and where do trips start?

Finally, has a nice feature that allows us to focus on the routes that start at each location. In particular, we can analyze where customers are heading to from each station.