A sparse, non-negative autoregression with coefficients summing to one quantifies weekly periodicity in urban mobility, showing pandemic disruption and recovery across cities and travel modes.
• The support set with sparsity levelτ= 4isΩ ={1,23,167,168}
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Data-Driven Discovery of Mobility Periodicity for Understanding Urban Systems
A sparse, non-negative autoregression with coefficients summing to one quantifies weekly periodicity in urban mobility, showing pandemic disruption and recovery across cities and travel modes.