Jameson’s and team Boston Cabs Visualization wins Most Innovative Idea in the MIT Transportation Hack-a-thon
Visualizing the direction of each cab (eat or west) doesn’t reveal any overarching patterns.
The second visualization aims at exploring spatiotemporal patterns in where people are requesting cabs to and from. The origin and destinations (OD) of cabs is an important indicator of the asymmetric flows were want to capture.
As a technical note, the visualizations were all coded in Processing. I cleaned the data using a couple of short python scripts and made the background for the apps using QGIS, an open source GIS platform. The code as written is almost unreadable and certainly not optimized because of the time constraints of the hackathon, but I am happy to share it if anyone is interested.
In all, the event was a lot of fun and fantastically organized. As a helpful observation to anyone planning their own hackathons, I think everyone would be served by planning designated time (maybe 30 minutes) to practicing the pitches at the end of the event. Technical difficulties and “winging it” ended up wasting A LOT of time at the end of a long day. I should also mention that this project won Most Innovative Idea from the panel of judges. Many thanks to my collaborators as well as the co-sponsor of the event, Amadeus
Here is a link to the Hack-a-thon’s website and other great submission!