Boris Bikes/Barclays Cycle Hire Average Journey Times

[This article was first published on Spatial Analysis » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The visualisation above shows the average relative duration of Boris Bikers’ weekday journeys over a 4 month period at hourly intervals. For each time step the average journey time (in seconds) from each docking station has been calculated.This information is interesting because it shows the preference for short journeys around the City of London, whilst people on the outskirts of the the scheme (especially to the west) take longer journeys. I also like the the fact that journey times around Soho and the West End are longest around 23:00- perhaps correlating with the number of after-work drinks consumed. In one visualisation you get to see the changes in the cyclists behaviour- from the early morning commuters through to the late night cruisers

The data come from Transport for London’s recent release of 1.4 million Barclays Cycle Hire journeys to their developers area (thanks to this FOI request). The data are said include all the journeys between 30 July 2010 and 3 November 2010, except those starting between midnight and 6am. In this analysis journeys taking more than one hour are not included (there are relatively few and many were actually the bikes being removed for maintenance) and docking stations with fewer than 10 journeys within each hour across the time period have also been ignored.

The maps can be improved in many ways- stay tuned for more developments and I will also post something a bit more technical about the methods I used etc to create the map (I used a strange cocktail of R and ArcGIS 10) .

I also recommend Ollie O’Brien’s (@oobr) brilliant interactive visualisations these data.

To leave a comment for the author, please follow the link and comment on their blog: Spatial Analysis » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)