Modelling daily activity patterns from mobile phone location data via deep representation learning
This work conceptualises activity pattern mining as an integrated process of representation, clustering, and interpretation, and proposes the Activity Chain Encoder (ACE) for the representation stage, a self-supervised model that combines pre-trained urban embeddings with visit timing and duration and uses a Transforme...