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chronomex
This was my final project for the quarter. I was surprised at how many Gowalla profiles were matched exactly by voter registrations.
expertio
I have to say this is so cool! Police department could use this data to do roadside random breath test. And there will be less killer on the road.
chronomex
Thanks! Our original intention was to do exactly that, though we couldn't figure out how to do route planning with ArcGIS for more than one origin-destination pair at a time.
jrockway
Some very interesting results, especially that only 20 out of 1000+ people sampled made their names on Facebook private.

Something that I thought was strange is that I usually go out drinking near work rather than near home, and then ride my bike or take the bus home afterwards. I also routinely walk more than a mile. The article seems to consider this uncommon, but it's common amongst my group of city-dwelling friends.

It would also be interesting to use this data to see how public transportation affects drinking. When I go drinking at a bar that's near the Green Line, which closes around 1:20am, I make sure to finish up and leave around 1 (unless the extra hour is really going to make a difference to me). When I go drinking near a bar that's near the Red Line, which is 24 hours, I rarely leave before closing time. Am I normal? Mining the data could tell me :)