Programmers or analysts interested in studying Capital Bikeshare patterns or creating useful apps can now do a lot more. Capital Bikeshare has followed through on its promise and posted data files with individual (but anonymous) trip data.
The files, one for each quarter going back to late 2010, list individual trips, including the time each started and ended, duration, which station it started and ended at, and an identifying number for the individual bike. It doesn’t say anything about the member who used the bike, except whether they are a “registered” (annual or monthly) member or a “casual” member (daily or 3- or 5-day).
Now, people can generate tables or graphics showing the most popular station pairs, or where people most often go from an individual station, or what weather patterns make usage heavier or lighter, or where the nighttime activity is, and much more.
[Continue reading David Alpert’s post at Greater Greater Washington.]
David Alpert is founder and editor of Greater Greater Washington. The Local Blog Network is a group of bloggers from around the D.C. region who have agreed to make regular contributions to All Opinions Are Local.