Human mobility patterns at the smallest scales
Pedro G. Lind, Adriano Moreira

TL;DR
This study investigates human mobility at small scales within a university, revealing Brownian motion characteristics with a scaling exponent near 0.5, and discusses how mobility patterns transition at larger scales.
Contribution
The paper introduces a novel methodology for analyzing small-scale human mobility using Wi-Fi access point data and explores the transition from Brownian to non-Brownian motion across scales.
Findings
Mobility at small scales exhibits Brownian features with an exponent close to 0.5.
A new measure of flux is proposed to estimate non-Euclidean distances between access points.
The transition scale from Brownian to non-Brownian motion is identified and discussed.
Abstract
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 is typically close to one-half, differently from the larger values for the exponent characterizing mobility at larger scales. We carefully analyze -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…
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