bixiHow did you celebrate International Open Data Day? Bixi Montreal contributed by releasing a summary of data for a single day, at dataholic.ca/odd/bixiday.xlsx. This is the first time the public has gotten access to their data. I added them to my collection, and can now offer the Bixi Montreal Trip Visualizer.

Their data included two matrices of station-to-station trip totals, for the AM and the PM. To simplify the data, my visualizer combines the two. I hope to add a feature later on to differentiate between the two data sets. I do not know which day the data is from.

Montreal has 410 bikesharing stations, making it one of the largest systems in the world. By comparison, Capital Bikeshare in the DC metropolitan area has 199 stations, and is the largest in the USA (until New York City’s system makes its debut). Montreal was the first city to use the Bixi system, starting in May 2009. Bixi now provides bikesharing facilities for 10 cities, including the other 3 that I’ve done trip visualizers for: Washington, DC, Boston, and Minneapolis-St Paul.

19,643 trips were made on this day. That’s an average of 48 trips per station, and if the distribution of trips were totally random, you’d get 0.1 trips for each station-to-station pair.

The busiest station was Métro Mont-Royal, with 497 trips (combining both check-ins and check-outs). The next-busiest was de Maisonneuve/de Bleury, with 447 trips.

The station with the most “loop trips” (where the bike is returned to the same station) was Square Saint-Louis, with 33 loop trips. Overall, the system had 916 loop trips that day, less than 5% of all trips.

What other statistics should we look for in the data? How could we visualize the difference in AM and PM traffic? Explore the Bixi Montreal Trip Visualizer and let me know in the comments below.

A Day of Bikesharing in Montreal

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