Gutiérrez-Roig, M and Sagarra, O and Oltra, A and Palmer, JRB and Bartumeus, F and Díaz-Guilera, A and Perelló, J (2016) Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians. Royal Society Open Science, 3 (7). p. 160177. DOI https://doi.org/10.1098/rsos.160177
Gutiérrez-Roig, M and Sagarra, O and Oltra, A and Palmer, JRB and Bartumeus, F and Díaz-Guilera, A and Perelló, J (2016) Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians. Royal Society Open Science, 3 (7). p. 160177. DOI https://doi.org/10.1098/rsos.160177
Gutiérrez-Roig, M and Sagarra, O and Oltra, A and Palmer, JRB and Bartumeus, F and Díaz-Guilera, A and Perelló, J (2016) Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians. Royal Society Open Science, 3 (7). p. 160177. DOI https://doi.org/10.1098/rsos.160177
Abstract
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 modelling 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.
Item Type: | Article |
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Uncontrolled Keywords: | computational social science; behavioural experiments; human mobility; random walk |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Mathematics, Statistics and Actuarial Science, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Sep 2020 14:41 |
Last Modified: | 30 Oct 2024 17:31 |
URI: | http://repository.essex.ac.uk/id/eprint/27318 |
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Filename: Active and reactive behaviour in human mobility the influence of attraction points on pedestrians.pdf
Licence: Creative Commons: Attribution 3.0