@Article{CiCP-18-2,
author = {},
title = {Human Mobility Patterns at the Smallest Scales},
journal = {Communications in Computational Physics},
year = {2015},
volume = {18},
number = {2},
pages = {417--428},
abstract = {<p style="text-align: justify;">We present a study on human mobility at small spatial scales. Differently
from large scale mobility, recently studied through dollar-bill tracking and mobile
phone data sets within one big country or continent, we report Brownian features of
human mobility at smaller scales. In particular, the scaling exponents found at the
smallest scales are typically close to one-half, differently from the larger values for the
exponent characterizing mobility at larger scales. We carefully analyze 12-month data
of the Eduroam database within the Portuguese university of Minho. A full procedure
is introduced with the aim of properly characterizing the human mobility within the
network of access points composing the wireless system of the university. In particular,
measures of flux are introduced for estimating a distance between access points. This
distance is typically non-Euclidean, since the spatial constraints at such small scales
distort the continuum space on which human mobility occurs. Since two different exponents
are found depending on the scale human motion takes place, we raise the
question at which scale the transition from Brownian to non-Brownian motion takes
place. In this context, we discuss how the numerical approach can be extended to
larger scales, using the full Eduroam in Europe and in Asia, for uncovering the transition
between both dynamical regimes.</p>},
issn = {1991-7120},
doi = {https://doi.org/10.4208/cicp.120614.190115a},
url = {https://global-sci.com/article/80325/human-mobility-patterns-at-the-smallest-scales}
}