"Cities are dynamic. They're shaped by the ways in which humans use and move through them. Through data we can discover human dynamics; or how we move through urban spaces. We can observe how citizens use public transportation (trams, trains, buses and even planes), private transportation (cabs, rideshares, and cars) or bikes to negotiate cities. We can use datasets from runs and health tracking applications to learn about common thoroughfares for exercise and wellbeing. It can also reveal the rhythms, ebbs and flows of human movement, the patterns and how they change over hours of the day, and the months of the year.
Through datasets of human movement, we'll ask what sources of movement data tell us about the experience and infrastructure of a city? How does time-based analysis reveal capacity, constraint and opportunity on urban transportation? How can data analysis provide legibility to complex human behavior and routines? How does complex and large scale human behavior analysis translate into actionable insight for urban design?"
- Daragh Byrne
The current project aims to map bike share data in Pittsburgh in a certain interval of time.
