Having previously established that Pittsburgh’s buses do bunch and a technical platform for archiving and accessing historic bus service data, I sought to extend this inquiry by quantifying aspects of frequency, timing, and location of bus bunching. The resulting project is available online at: http://bunching.github.io Dataset Vehicle locations for all buses servicing routes 61, 71, P1, and G2 were recorded once every sixty seconds throughout the month of March, 2016, resulting in a dataset of some 1.5m records of timestamped bus locations. Each location dataContinue Reading “The When and Where of Pittsburgh’s Bunched Buses”

I came across an insightful (and indicting) quote tonight in a data visualization paper: I think people have begun to forget how powerful human stories are, exchanging their sense of empathy for a fetishistic fascination with data, networks, patterns, and total information. … Really, the data is just part of the story. The human stuff is the main stuff, and the data should enrich it. ~Jonathan Harris The quote led me to Jonathan Harris’s website, which profiles his work as a digital artist. My immediate impressionContinue Reading “Human Stories vs Data”

As a fun exercise in my Data Science Pipeline class, I used my smartphone to  collect location data for approximately three weeks. A built-in algorithm also attempted to determine my activity (e.g. riding in vehicle, walking, etc.). By combining my location data with my timestamped activity data, I was able to produce a map of travels and modes of transportation: Around Home / Squirrel Hill Around Pittsburgh Around Pennsylvania For more, view the live version of the project here: http://mark-where-and-what.appspot.com/