2021/07/31 by Enrico Ubaldi, Takahiro Yabe, Nicholas K.W. Jones +5 · 1 voice
Computer Science · Social Sciences · #COVID-19 Digital Contact Tracing #Human Mobility and Location-Based Analysis #Opportunistic and Delay-Tolerant Networks
paper · pdf · doi:10.21105/joss.05201
openalex publication_date 2024/03/01 · openalex created_date 2024/03/05 · openalex updated_date 2026/07/28
Increasingly available high-frequency location datasets derived from smartphones provide unprecedented insight into trajectories of human mobility. These datasets can play a significant and growing role in informing preparedness and response to natural disasters. However, limited tools exist to enable rapid analytics using mobility data, and tend not to be tailored specifically for disaster risk management. We present an open-source, Python-based toolkit designed to conduct replicable and scalable post-disaster analytics using GPS location data. Privacy, system capabilities, and potential expansions of Mobilkit are discussed.