Corpus ID: 236635220

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

@article{Ubaldi2021MobilkitAP,
  title={Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data},
  author={Enrico Ubaldi and Takahiro Yabe and Nicholas Jones and Maham Faisal Khan and Satish V. Ukkusuri and Emanuele Strano},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.14297}
}
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 for 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… Expand

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