A Bayesian mixture model with product-multinomial likelihood clusters over 11,000 recurrent users from 220,000+ categorical trips in Venice, yielding eight latent mobility profiles.
Clustering Users and Non-Users of Shared and Private e-Bikes and e-Scooters across Three
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Beyond the Flow: A Bayesian Latent Clustering Framework for Shared Micro-mobility Users in Venice
A Bayesian mixture model with product-multinomial likelihood clusters over 11,000 recurrent users from 220,000+ categorical trips in Venice, yielding eight latent mobility profiles.