Data from: Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians
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https://datadryad.org/dataset/doi:10.5061/dryad.7sj4h
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资源简介:
Human mobility is becoming an accessible field of study thanks to the
progress and availability of tracking technologies as a common feature of
smart phones. We describe an example of a scalable experiment exploiting
these circumstances at a public, outdoor fair in Barcelona (Spain).
Participants were tracked while wandering through an open space with
activity stands attracting their attention. We develop a general modeling
framework based on Langevin Dynamics, which allows us to test the
influence of two distinct types of ingredients on mobility: reactive or
context-dependent factors, modelled by means of a force field generated by
attraction points in a given spatial configuration, and active or inherent
factors, modelled from intrinsic movement patterns of the subjects. The
additive and constructive framework model accounts for some observed
features. Starting with the simplest model (purely random walkers) as a
reference, we progressively introduce different ingredients such as
persistence, memory, and perceptual landscape, aiming to untangle active
and reactive contributions and quantify their respective relevance. The
proposed approach may help in anticipating the spatial distribution of
citizens in alternative scenarios and in improving the design of public
events based on a facts-based approach.
提供机构:
Dryad
创建时间:
2016-06-16



