What happens when you give a bunch of MIT students GPS information on more than 2.3 million Boston taxi rides, and then offer them a cash prize to get creative with the data?
That was the idea behind the inaugural MIT Big Data Challenge organized by the MIT Big Data Initiative at CSAIL in partnership with the City of Boston and Transportation@MIT.
With urban congestion on the rise, planners have been looking for new ways to understand and improve transportation in Boston, which spurred the decision to collaborate with MIT and make available data from local events, Tweets, weather records and taxi rides in commercial zones of the city.
“We believe that big data can be used in the service of big issues,” said Elizabeth Bruce, Director of the MIT Big Data Initiative at CSAIL. “We thought it would be exciting to organize a challenge in which our community of students and researchers put their energies into tackling a tangible public-policy issue like transportation, and to see what insights emerge from that."
Since November, more than 250 teams submitted work focused on trying to predict demand for taxis and create intuitive visualizations about these topics. Among the questions that teams explored:
- where are the most popular taxi pick-up spots in Boston?
- how do taxi-hailing patterns change day-to-day and hour-to-hour?
- which common cab trips would actually be faster by bike?
Taxi data was drawn from 2.3 million rides that occurred between May and November of 2012. Data partners for the event included Creative CMT, GNIP, MBTA, Telenav and Twitter.
VISUALIZATION
FIRST PLACE - "Team GARTHEE" (Gartheeban Ganeshapillai - MIT CSAIL)
SECOND PLACE - "Team JAMESON" (Jameson Toole - MIT Human Mobility and Networks Lab, Engineering Systems Division)
HONORABLE MENTION - "Team KVGH" (Kael Greco, Veronica Adelle Hannan - MIT)
PREDICTION
FIRST PLACE - “Team HUMNET” (Lauren Alexander, Serdar Colaxk, Suma Desu, Jameson Toole, Yingxiang Yang - MIT Department of Civil and Environmental Engineering)
SECOND PLACE - "Team PIGGY XU" (Runmin Xu - MIT Department of Civil and Environmental Engineering)
THIRD PLACE - “Team MATTED” (Matthew Edwards - MIT EECS & CSAIL)
1. Hynes Convention Center, 76.1K rides
2. Wilbur Theater, 51.4K
3. Majestic Theater, 51.3K
4. South Station, 51.1K
5. Shubert Theater, 49.4K
6. Wang Theater, 47.4K
7. Faneuil Hall, 45K
8. Charles Playhouse, 41.2K
9. Post Office Square, 37.7K
10. Back Bay T, 34.6K
(Based on Team GARTHEE's Intracity Rides visualization)
5 cab rides that would be faster by bike
Hynes Convention Center to Back Bay T
South Station to MGH
Boston Common to Prudential Center
Aquarium to World Trade Center
MGH to North End
(Based on Team STETNER's research)