Spatiotemporal typology paper published in DST

“Extracting Spatiotemporal Bus Passenger Trip Typologies from Noisy Mobile Ticketing Boarding Data” is published in Data Science for Transportation (Vol. 5, Article 20). This is the first paper in the PVTA transit series — using hierarchical clustering and DTW to find passenger behavioral groups from raw mobile ticketing activations, which are messy but contain a lot of signal if you look in the right way.