Evaluation of Sampling Thresholds for Fundamental Spatial Parameters of Human Mobility

This paper aims to characterize human mobility using crowd-sourced cellular network data. The study considers four key spatial parameters of mobility, assesses those parameters for a set of defined sampling thresholds, and performs a comparative study on the obtained results. The findings show that human mobility is highly predictable, and accurate models may be derived if more studies are conducted for different periods and geographic areas. The study also suggests that choosing the appropriate sampling thresholds depends on the mobility parameters to be evaluated, the dataset size, and the available computational resources.