activity
20182021
most citedUncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data

37 citations · 49 across the 4 of their papers we have counts for

collaborators
Showing cs.CYShow all

1 paper · 1 filter

cs.CY2021★ 2 cited

Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data

Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones +4

Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a signif…