Nature Communications (Nov 2021)

A Deep Gravity model for mobility flows generation

  • Filippo Simini,
  • Gianni Barlacchi,
  • Massimilano Luca,
  • Luca Pappalardo

DOI
https://doi.org/10.1038/s41467-021-26752-4
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 13

Abstract

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The movements of individuals within and among cities influence critical aspects of our society, such as well-being, the spreading of epidemics, and the quality of the environment. Here, the authors use deep neural networks to discover non-linear relationships between geographical variables and mobility flows.