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Monday, December 3 • 2:00pm - 2:30pm
Understanding Public Transit Rider Satisfaction using Clustering and Bayesian Regression

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Using Metro Transit's 2016 customer satisfaction survey, we applied a clustering algorithm to segment transit riders based on the attitudinal questions. A Bayesian logistic regression is then applied in order to profile each of the clusters.

Speakers
avatar for Kim Eng Ky

Kim Eng Ky

Data Scientist, UnitedHealthcare
Kim is currently a data scientist at UnitedHeatlhcare. Prior to joining UnitedHealthcare, she worked in the Research & Analytics team at Metro Transit.  
avatar for Eric Lind

Eric Lind

Manager, Research & Analytics, Metro Transit


Monday December 3, 2018 2:00pm - 2:30pm
(2) Auditorium (Floor 3) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102

Attendees (152)