At the Children’s Hospital of Pittsburgh’s Primary Care Center in Oakland many patients rely on public transit for transportation to and from their doctor appointment. To support physician researcher Dr. Ana Malinow in investigating the extent to which long travel times negatively impact appointment keeping, I created an ArcMap accessibility utility to estimate the time in transit to reach the Oakland clinic from any location in Allegheny county. Compared with using Google Maps or another travel planning service, the ArcMap accessibility utility 1) can estimate thousands of travel timesContinue Reading “Transit Time to Clinic”

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”

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/