Markovian Reeb Graphs turn Reeb graphs into generative models for simulating individual and population-level spatiotemporal human mobility patterns by embedding Markovian probabilistic transitions.
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A methodology based on generalized linear mixed effects models and generalized mixed-effect random forests applied to APC data identifies segments and temporal patterns associated with undercrowding on a Milan public transport route.
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Markovian Reeb Graphs for Simulating Spatiotemporal Patterns of Life
Markovian Reeb Graphs turn Reeb graphs into generative models for simulating individual and population-level spatiotemporal human mobility patterns by embedding Markovian probabilistic transitions.
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Spatio-Temporal Analysis of Public Transportation Undercrowding: Leveraging APC Data for a Comprehensive Evaluation of Usage Rates
A methodology based on generalized linear mixed effects models and generalized mixed-effect random forests applied to APC data identifies segments and temporal patterns associated with undercrowding on a Milan public transport route.