The other day I estimated I probably use the Citibike ebike only 1% of the time, you know, when I'm in a hurry, but turns out heh, some months more than that.

Also in the process of looking, I got to see what obtaining my data from Citibike and Strava is like these days.

I havent pulled my Citibike trip data in a while, but , searching through Chat, I learned about this page, https://help.lyft.com/hc/en-us/all/articles/115012925847-Delete-my-account?showRedirect=false#download and then that page lists http://www.lyft.com/privacy/data

And I got a download link after just a few hours.

But looking at my data, interestingly, no marker of ebike or regular bike.

But I thought hmm, why not just use the speed?

So I just plotted the distribution of the Cartesian distance over time. I have to use Cartesian distance, since Citibikes dont have GPS, so trip data is just source and destination.

Well ouch, yes I see two bumps, but they are way off. I looked at my Strava at two recent mph for ebike, One 4.36 miles, 20:38 minutes and, 12.7 mph. Another one was, 4.45 miles, 19:35, and, 13.6mph.

So cartesian distance is way off. Ok so Strava is the only way then.

So pulling my Strava data also was pretty simple.

Strava like Citibike just lets you download everything or nothing so I downloaded a hundred meg zip file which also has my photo attachments over the past 10 years haha. I imagine they have an API too.

Anyway, so on Strava, I do mark the activity type. I dont necessarily always trust that I marked it right, but in aggregate, its hopefully close.

So the first plot in this article is indeed showing, more than 1% of my miles are ebike miles.

All the plotting is done by Chat GPT analysis, all by my phone, so I didnt get a chance to check the math, but, yea directionally probably it is close.