Project: #33 Understanding Transit Connections Progress Report - Reporting Period Ending: Dec. 31, 2016 Principal Investigator: Aaron Steinfeld Status: Completed Start Date: Jan. 1, 2016 End Date: May 31, 2017 Research Type: Advanced Grant Type: Research Grant Program: MAP-21 TSET National (2013 - 2018) Grant Cycle: 2016 TSET UTC Progress Report (Last Updated: March 18, 2019, 10:57 a.m.) % Project Completed to Date: 100 % Grant Award Expended: 100 % Match Expended & Document: 100 USDOT Requirements Accomplishments This work was accepted by peer review for a poster presentation at the 2017 TRB Annual Meeting. A journal article on this work is in preparation and will be submitted during 2017. Impacts We believe the algorithmic detectors of connections and the associated metrics of connection quality have value. These approaches will undergo detailed peer review in the near future. Other Outcomes New Partners Issues While many trip trace behaviors can be used to help automatically detect transit connections, we found that some human labelling was still required. There are certain tracing actions that are hard to quantify using current data.