The NetMob2024 Dataset: Population Density and OD Matrices from Four LMIC Countries

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.