The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries
Wenlan Zhang, Miguel Nunez del Prado, Vincent Gauthier, Sveta, Milusheva

TL;DR
The NetMob24 dataset provides detailed, privacy-preserving spatiotemporal population density and origin-destination matrices from four LMIC countries over two years, supporting diverse research in mobility and urban planning.
Contribution
This paper introduces a comprehensive, multi-country dataset with anonymized mobility data, enabling new research methods and enhancing reproducibility in mobility studies.
Findings
Provides detailed population density data
Includes origin-destination matrices for four countries
Supports privacy-preserving research methods
Abstract
The NetMob24 dataset offers a unique opportunity for researchers from a range of academic fields to access comprehensive spatiotemporal data sets spanning four countries (India, Mexico, Indonesia, and Colombia) over the course of two years (2019 and 2020). This dataset, developed in collaboration with Cuebiq (Also referred to as Spectus), comprises privacy-preserving aggregated data sets derived from mobile application (app) data collected from users who have voluntarily consented to anonymous data collection for research purposes. It is our hope that this reference dataset will foster the production of new research methods and the reproducibility of research outcomes.
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis
