An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro

An explainable GeoAI approach for the multimodal analysis of urban human dynamics: a case study for the COVID-19 pandemic in Rio de Janeiro

Abstract The recent COVID-19 pandemic has underscored the need for effective public health interventions during infectious disease outbreaks. Understanding the spatiotemporal dynamics of urban human behaviour is essential for such responses. Crowd-sourced geo-data can be a valuable data source for t...

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Bibliographic Details
Main Authors: David Hanny, Dorian Arifi, Steffen Knoblauch, Bernd Resch, Sven Lautenbach, Alexander Zipf, Antonio Augusto de Aragão Rocha
Format: Article
Language:English
Published: Springer 2025-03-01
Series:Computational Urban Science
Subjects:
GeoAI
Social media
Mobility
Epidemiology
Time series analysis
Feature selection
Online Access:https://doi.org/10.1007/s43762-025-00172-2
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https://doi.org/10.1007/s43762-025-00172-2

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