Our full site is coming soon, as is the new, free-to-use version of the application (which we are currently readying for a full roll-out). In the meantime, for more content and some materials from our ongoing research that is employing Flocktracker as a data collection methodology, head on over to our Tumblr page
. To keep updated with the status of the application, as well as to learn more about the official release, please sign up
for more information on our online contact list and, when you’re done, like us on Facebook
The Flocktracker Android-based application takes advantage of smartphones and tablets to enable data collection in the field, in a quick way, with high spatial and temporal resolution. The technology is flexible and adaptable. Originally designed for collecting data on minibus systems in megacities of the Global South, it is suitable for a wide-range of field-based research initiatives. Our goal is to enable researchers from a range of backgrounds (e.g., citizens, academics, government officials, private industry) and with a variety of purposes (understanding housing conditions, safety concerns, etc.) to create inexpensive, accurate, and robust data sets, capitalizing on the benefits of technological innovations. To learn more, click here to visit our full about page
An early version of the application is now available for beta testers! To learn more, please make sure to sign up
on our contacts list to receive future updates. The application
can be downloaded by clicking the above APK icon. Similarly, the document icon to the right of the APK link will allow you to access the User's Manual
(or, en Español
) which elaborates on how to use the application. Do note that this project is currently in progress, and the user's manual is constantly being updated and finalized, as with the application. Please keep on the lookout for future updates to the application and user's manual and feel free to email us
if you have any further questions.
Flocktracker is a tool developed as a robust and flexible research application for spatial research initiatives in both Dhaka, Bangladesh and Mexico City, Mexico. The project is the result of an ongoing collaborative effort under the research of MIT DUSP's Mobility Futures Collaborative. The current application is based off of initial designs produced with Urban Launchpad in the mapping of Dhaka’s bus system to create the city’s first complete bus map.
Born and raised in San Diego, California, Kuan is currently a Masters student at MIT in Cambridge, Massachusetts, where he is studying City Planning with a primary focus in Transportation. Kuan has a professional background in urban planning and architecture. Presently residing in Somerville, Massachusetts; Kuan has worked extensively throughout the Midwest and holds a special interest in tackling issues unique to the recuperation of Rust Belt urban economies and the retrofitting of existing travel infrastructure. Specifically, he seeks to adapt and leverage untapped potential in extant infrastructure to modern mode choice and travel behavior demands.
Arturo is an urban planning student at UNAM who has worked with local government and research projects focusing on "Urban Social Production." He started on the Flacktracker effort in 2013 when he worked with MIT+UTL flocksourcing Mexico City busses. On that project, he surved as an urban speciality and geospatial analyst. Since this initial project, he has gone on to become a founding member of Urban Launchpad Mexico.
Danny Chiao is a recent graduate from the Electrical Engineering and Computer Science department of MIT. He now works at Google. Danny first began working with the Flocktracker project in early 2013, helping optimize the Dashboard set up for our team when preparing to work in Dhaka, Bangladesh. He now resides in New York City.
Daniel is a civil engineer currently spending most of his time programming and riding his bike around Mexico City. He started on the Flacktracker effor in 2013 when he worked with MIT+UTL flocksourcing Mexico City busses. On that project, he served as the primary programmed for Mexico City specific coding modification that were performed on the existing specifications from previous research initiatives in Dhaka, Bangladesh. Since this initial project, he has gone on to become a founding member of Urban Launchpad Mexico.
Chris is Associate Professor of Transportation and Urban Planning at MIT and head of the International Development Group within the department. He has served as our mentor throughout the project and seeks to explore how such technologies, when implemented, can impact urban analytics and improve our understanding of the built environment.
This content is copyright 2014, MIT Department of Urban Studies and Planning, Mobility Futures Collaborative, and Urban Launchpad MX.
Some of our past and current partners.