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Abstract
This work introduces Deep Gravity, a model leveraging deep neural networks and diverse geographic data to generate human mobility flow probabilities. Experiments in England, Italy, and New York State demonstrate Deep Gravity's superior performance, particularly in densely populated areas, compared to traditional gravity models. The model exhibits good generalization capabilities and uses explainable AI techniques to interpret predictions.
Publisher
Nature Communications
Published On
Nov 12, 2021
Authors
Filippo Simini, Gianni Barlacchi, Massimilano Luca, Luca Pappalardo
Tags
Deep Gravity
human mobility
neural networks
geographic data
explainable AI
gravity models
urban population
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