Evidence map›Paper›PMID 27493774›Full record

ArticleRoyal Society open science2016

Active and reactive behaviour in human mobility: the influence of attraction points on pedestrians.

M Gutiérrez-Roig, O Sagarra, A Oltra, J R B Palmer, F Bartumeus, A Díaz-Guilera, J Perelló

Abstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

M Gutiérrez-RoigDepartament de Física Fonamental , Universitat de Barcelona. Martí i Franqués 1 , 08028 Barcelona, Spain.ORCID 0000-0002-8488-1954
O SagarraDepartament de Física Fonamental, Universitat de Barcelona. Martí i Franqués 1, 08028 Barcelona, Spain; Universitat de Barcelona Institute of Complex Systems UBICS, 08028 Barcelona, Spain.
A OltraCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Accés a la Cala Sant Francesc, 17300 Blanes, Spain; Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Campus de Bellaterra (UAB) Edifici C, 08193 Cerdanyola del Vallès, Spain.
J R B PalmerCentre de Recerca Ecològica i Aplicacions Forestals (CREAF) , Campus de Bellaterra (UAB) Edifici C , 08193 Cerdanyola del Vallès, Spain.
F BartumeusCentre d'Estudis Avançats de Blanes (CEAB-CSIC), Accés a la Cala Sant Francesc, 17300 Blanes, Spain; Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Campus de Bellaterra (UAB) Edifici C, 08193 Cerdanyola del Vallès, Spain; ICREA, Passeig Lluis Companys 23, 08010 Barcelona, Spain.
A Díaz-GuileraDepartament de Física Fonamental, Universitat de Barcelona. Martí i Franqués 1, 08028 Barcelona, Spain; Universitat de Barcelona Institute of Complex Systems UBICS, 08028 Barcelona, Spain.
J PerellóDepartament de Física Fonamental, Universitat de Barcelona. Martí i Franqués 1, 08028 Barcelona, Spain; Universitat de Barcelona Institute of Complex Systems UBICS, 08028 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

behavioural experimentscomputational social sciencehuman mobilityrandom walk

Identifiers

PMID27493774
PMCPMC4968466

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.