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Related Experiment Video

Updated: Dec 21, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study

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Published on: February 25, 2013

Mapping global variation in human mobility.

Moritz U G Kraemer^1,2,3, Adam Sadilek⁴, Qian Zhang⁵

¹Harvard Medical School, Harvard University, Boston, MA, USA. moritz.kraemer@zoo.ox.ac.uk.

Nature Human Behaviour

|May 20, 2020

Summary

This summary is machine-generated.

Global human mobility patterns reveal significant geographic variation. Movement laws differ in low-income settings, with shorter distances and faster decline, impacting demographic and environmental change understanding.

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Area of Science:

Mobility studies
Human geography
Data science

Background:

Accurate and scalable data on human geographic variation is lacking.
Understanding global mobility patterns is crucial for addressing demographic, economic, and environmental changes.

Purpose of the Study:

To describe global human mobility patterns using large-scale smartphone data.
To develop a comprehensive human movement typology.
To analyze variations in mobility across sociodemographic and environmental contexts.

Main Methods:

Aggregated mobility data from over 300 million smartphone users.
Analysis covered nearly all countries and 65% of Earth's populated surface.
Statistical models were fitted to validate data and quantify movement patterns.

Main Results:

Detailed global human mobility patterns, including cross-border and international migration, were identified.
Human movement laws were found to apply at significantly shorter distances in low-income settings.
Movement decline was 40% more rapid in low-income contexts compared to global averages.

Conclusions:

The study provides unprecedented scale and coverage of global human mobility data.
Findings highlight disparities in movement patterns related to economic status.
The data and results can enhance understanding of human movement's role in global changes.