We propose a method that leverages mobile phone data as a cost-effective and rich source of geospatial information to capture current human mobility patterns at unprecedented spatiotemporal resolution
We investigate the impact of urban inequalities on changes to rail ridership across Chicago's "L" stations during the pandemic, the mass vaccination rollout, and the full reopening of the city
This paper develops a novel approach to identify areas of interest based on the degree of complementarity of digital activities, available amenities, and population levels.
We investigate the impact of non-pharmaceutical interventions, in the form of lockdown stringency measures, on consumer purchasing behaviours for essential goods over the onset of the pandemic
We aim to consolidate our knowledge of the impacts of the COVID-19 pandemic on internal migration, discuss key lessons we have learnt so far, and identify areas for future enquiry
We quantify the impact of COVID-19 on immigration flows in 15 high-income countries by forecasting their counterfactual levels in 2020 assuming no pandemic and comparing these estimates with observed immigration counts.
we aim to identify and characterize the different trajectories of depopulation in Spain from 2000 to 2020 at the small area level using sequence analysis, spatial autocorrelation analysis, decomposition techniques, and multinomial logistic modeling.
We employed a series of multilevel models to explore the within and between city variations in the relationship across ethnic segregation, and key socioeconomic and built environment features of neighbourhoods.