The impact of biases in mobile phone ownership on estimates of human mobility.

@article{Wesolowski2013TheIO,
  title={The impact of biases in mobile phone ownership on estimates of human mobility.},
  author={Amy Wesolowski and Nathan Eagle and Abdisalan M. Noor and Robert W. Snow and Caroline O. Buckee},
  journal={Journal of the Royal Society, Interface},
  year={2013},
  volume={10 81},
  pages={20120986}
}
Mobile phone data are increasingly being used to quantify the movements of human populations for a wide range of social, scientific and public health research. However, making population-level inferences using these data is complicated by differential ownership of phones among different demographic groups that may exhibit variable mobility. Here, we quantify the effects of ownership bias on mobility estimates by coupling two data sources from the same country during the same time frame. We… CONTINUE READING
Highly Cited
This paper has 64 citations. REVIEW CITATIONS

3 Figures & Tables

Topics

Statistics

01020201320142015201620172018
Citations per Year

65 Citations

Semantic Scholar estimates that this publication has 65 citations based on the available data.

See our FAQ for additional information.