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The IATR continues to organize and hold one or more hack-a-thons every year and to grow its Data Commons repository of multi-modal transportation trip data, which is housed at the University of California, Berkeley. The IATR Data Commons will continue to be used by students, start-ups, and academics competing in hack-a-thons or data challenges, and it is available as information to help fellow regulators – whether to prepare legislative testimony, issue internal or external studies or reports, or to conduct benchmarking. In September 2019, the IATR partnered for its 5th Annual hack-a-thon with The Transportation Alliance (formerly known as the Taxicab, Limousine, Paratransit Association, or TLPA), involving the theme of “Micro-Transit.” The mission of this hack-a-thon was to analyze taxicab data from two cities, St. Louis, Missouri, U.S., and Toronto, Ontario, Canada, to point to opportunities in micro-transit for the taxicab industry and regulators. The winners of the “Micro-Transit” hack-a-thon are “Team NYU BUILT Lab” from New York University’s Tandon School of Engineering. The students will present their findings and answer panel questions on their submission, entitled “Simulation Approach to Plan Demand Responsive Transport (DRT).” Subsequent to winning this competition, one of the students continued his work in on-demand micro-transit solutions, publishing a paper addressing emerging technologies for operating public transit services from conventional fixed route service, through semi-flexible service to on-demand micro-transit (including an open-source simulation tool).
Moderator: John Boit, The Transportation Alliance (TTA)
Panelists: • Kendra Levine, Institute of Transportation Studies, UC Berkeley • Basil Rudawsky, St. Louis County Cab Company, Inc. • Fiona Chapman, City of Toronto • Jason Gross, Curb
Hack-A-Thon Winners Presentation: • Ziyi Ma, Hack-A-Thon Winner from New York University • Gyugeun Yoon, Hack-A-Thon Winner from New York University
NYU Hack-A-Thon PPT: https://bit.ly/35055jn Gyugeun Yoon FTA Paper: https://bit.ly/2HcxZo3