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.Comment: 126 pages, 45+ figure