Human mobility: Models and applications

Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and to generate models that can capture and reproduce the spatiotemporal structures and regularities in human...

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Bibliographic Details
Published in:Physics reports 2018-03, Vol.734 (734), p.1-74
Main Authors: Barbosa, Hugo, Barthelemy, Marc, Ghoshal, Gourab, James, Charlotte R., Lenormand, Maxime, Louail, Thomas, Menezes, Ronaldo, Ramasco, José J., Simini, Filippo, Tomasini, Marcello
Format: Article
Language:English
Subjects:
Geography
Human dynamics
Human mobility
Humanities and Social Sciences
Methods and statistics
Origin–destination matrices
Physics
Random walks
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Summary:Recent years have witnessed an explosion of extensive geolocated datasets related to human movement, enabling scientists to quantitatively study individual and collective mobility patterns, and to generate models that can capture and reproduce the spatiotemporal structures and regularities in human trajectories. The study of human mobility is especially important for applications such as estimating migratory flows, traffic forecasting, urban planning, and epidemic modeling. In this survey, we review the approaches developed to reproduce various mobility patterns, with the main focus on recent developments. This review can be used both as an introduction to the fundamental modeling principles of human mobility, and as a collection of technical methods applicable to specific mobility-related problems. The review organizes the subject by differentiating between individual and population mobility and also between short-range and long-range mobility. Throughout the text the description of the theory is intertwined with real-world applications.
ISSN:0370-1573
1873-6270
DOI:10.1016/j.physrep.2018.01.001