Hubway Data Visualization Ari Ofsevit | www.ariofsevit.com | @ofsevit Charts It became apparent that there would be differences between registered and casual users and weekday and weekend users. First, I wondered the differences in speed based on age and gender. As would be expected, younger riders are faster than older, and men (slightly) faster than women: I was somewhat surprised that there is only a 1.5 mph difference between the oldest riders (those born in the 1940s) and young speedsters in their 20s, and only about a half mile per hour difference between men and women. There didn't seem to be anyting too meaty here, and I moved on. After some machinations, I charted, in the same ten minute intervals (these will recur frequently), the average speed by day of the week and trip type, as a chart where the size of the line is proportional to the number of trips taken: Oh, now some interesting things jump out:
Having looked at the trips, I wanted to look at the bikes. I know that when I look for a Hubway bike, I try to test the bell, since it seems to be the only thing to break on the bikes. I also figured that the Mayor's bike might get the most rides, since, well, it looks cooler. Here's what I found: So, the Mayor's Bike (bike 00001, which I found out by comparing a trip on Strava to the trip logs but was later disclosed on Twitter) is amongst the higher-used bikes, but by no means the highest. Even if you take out casual users (who might be scared of something different) it still lags. Having explored who is using the system, and when, the next question is to see how we can map these data. Ari Ofsevit | www.ariofsevit.com | @ofsevit |