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

Wenlan Zhang, Miguel Nunez del Prado, Vincent Gauthier, Sveta Milusheva

TL;DR

This dataset, developed in collaboration with Cuebiq, comprises privacy-preserving aggregated data sets derived from mobile application data collected from users who have voluntarily consented to anonymous data collection for research purposes.

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.

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

TL;DR

This dataset, developed in collaboration with Cuebiq, comprises privacy-preserving aggregated data sets derived from mobile application data collected from users who have voluntarily consented to anonymous data collection for research purposes.

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.
Paper Structure (17 sections, 10 figures, 2 tables)

This paper contains 17 sections, 10 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Data Source
  3. Device Location Data
  4. Trajectory
  5. Methodology
  6. Population Density Data
  7. Origin-Destination Matrix
  8. Ethics Considerations
  9. Final dataset format
  10. Data Description
  11. Data Completeness and Anomalies
  12. Spatial and Temporal Analysis
  13. Population Density Data
  14. Origin-Destination
  15. Additional Resources
  16. ...and 2 more sections

Figures (10)

  • Figure 1: Data Processing Workflow
  • Figure 2: Preserved Data for the 4 Countries and Different Temporal and Spatial Datasets, 2019
  • Figure 3: Hierarchical Organization of Folder
  • Figure 4: Time Series PD, OD and OD/PD Highlighting Some Anomalies, 2019–2020
  • Figure 5: Mexico Unique Users from PD Dataset in Geohash 3 & 5, Avg Daily Value for November 2019
  • ...and 5 more figures