12/14/2017

Furthering my analysis I decided to explore the Healthy Ride full data set to see how many shared trips are taken using the bikes. 

For this I used a combined data set of all Healthy Ride Trips from 2015-May 2017. 

https://data.wprdc.org/dataset/healthyride-trip-data

As precedent I recall Mimi Onuoha's work on moving data in London.

http://mimionuoha.com/projects/#/pathways/ (Links to an external site.)Links to an external site.

Pathways (2015) is a data storytelling project presenting a month's worth of real mobile data collected from four groups of Londoners. Pathways explores what mobile data can (and cannot) reveal about common relationships and investigates ordinary people's relationships with their personal data. Through visualization and analysis, Pathways presents a window to the actual data trails of four groups: a couple, a set of co-workers, a family, and roommates.

Pathways was completed as part of the 2014-15 Fulbright-National Geographic Digital Storytelling Fellowship, with all data collection, design, development, research, UX, and copy done over the course of the year. The project also involved progress blogposts at National Geographic's news site that can be viewed here.

Additionally,  Mimi Onouha's talk at the Eyeo festival has stuck with me throughout the semester and I am please to say that it was this talk that fully allowed me to see the potential or data analysis when dealing with urban issues.

http://eyeofestival.com/speaker/mimi-onuoha/ (Links to an external site.)Links to an external site.