Objective:
- The question of how the number of visitors to a location depends on their visitation frequency has remained largely unanswered
Case:
- Greater Boston, Singapore, Portugal, Senegal, Ivory Coast
Methodology:
- Flows: $\rho_i (r,f) = \frac{\mu_i}{(rf)^{\eta}}$
- Gravity and radiation model
Data Source
- Mobile phone: Not publicly available
Findings:
- Spatial-temporal population flows to locations follow a highly reproducible scaling laws
- Although the magnitudes of these flows vary substantially across locations, they show a systematic spatial clustering
- The magnitude of the entire distance-frequency spectrum of flows to any location can be obtained by just knowing one single point on the universal scaling curve
Coding Reference:
