37 citations · 49 across the 4 of their papers we have counts for
4 papers
Location Data Reveals Disproportionate Disaster Impact Amongst the Poor: A Case Study of the 2017 Puebla Earthquake Using Mobilkit
Takahiro Yabe, Nicholas K W Jones, Nancy Lozano-Gracia +4
Location data obtained from smartphones is increasingly finding use cases in disaster risk management. Where traditionally, CDR has provided the predominant digital footprint for h…
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…
Uncovering socioeconomic gaps in mobility reduction during the COVID-19 pandemic using location data
Samuel P. Fraiberger, Pablo Astudillo, Lorenzo Candeago +8
Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pand…
Digital Urban Sensing: A Multi-layered Approach
Enwei Zhu, Maham Khan, Philipp Kats +2
Studies of human mobility increasingly rely on digital sensing, the large-scale recording of human activity facilitated by digital technologies. Questions of variability and popula…