Interactive Map Analyzes DC Bikeshare Travel Patterns by Neighborhood Clusters

Each quarter, Capital Bikeshare (CaBi) collects data on its trip history and releases it to the public. Michael Schade at Mobility Lab used this data to develop an interactive map, the CaBi Trip Visualizer, which shows how the bike share program trips are distributed between stations.

This tool analyzes travel patterns of CaBi riders and examines trips by neighborhood clusters to allow viewers to see the level of trips that are frequently taken. By selecting a particular station on the map, it displays a series of line segments that connect to other CaBi stations. The thickness of each red line segment is determined by the number of trips between stations–the thicker the line, the more trips taken.

Users can also hover over each line segment to view detailed information, such as number of trips and the distance between the two stations, average destinations from each station, and the unbalancedness of the trips in regards to whether the trips dominate in one direction over another. In a snaphot of CaBi’s 4th quarter ridership analysis, 475,736 trips were made in the entire program, which includes the DC area, Arlington, and Alexandria. The busiest stations generating the most ridership levels are Dupont Circle on Massachusetts Avenue and Union Station.

Schade has also created similar maps for other bike share programs, such as Hubway (Boston), Nice Ride (Minneapolis and St. Paul), and Bixi (Montreal).

Photo courtesy of Mobility Lab

Photo Credit: Mobility Lab


It's only fair to share...Tweet about this on TwitterShare on FacebookShare on LinkedIn

Leave a Reply