Evidence map›Paper›PMID 33398140›Full record

ArticleNature human behaviour2021

Spontaneous synchronization of motion in pedestrian crowds of different densities.

Yi Ma, Eric Wai Ming Lee, Meng Shi, Richard Kwok Kit Yuen

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.6field-weighted citation impact, top 2% of its field
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

10 citing papers in PubMed, 72 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Yi MaInstitute for Disaster Management and Reconstruction, Sichuan University, Chengdu, China. yima23_c@scu.edu.cn.ORCID http://orcid.org/0000-0002-4476-4673
Eric Wai Ming LeeDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong.ORCID http://orcid.org/0000-0002-3156-2036
Meng ShiDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong.ORCID http://orcid.org/0000-0001-9765-3101
Richard Kwok Kit YuenDepartment of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong.ORCID http://orcid.org/0000-0002-3846-0307
City University of Hong Kong · HKSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interacting pedestrians in a crowd spontaneously adjust their footsteps and align their respective stepping phases. This self-organization phenomenon is known as synchronization. However, it is unclear why and how synchronization forms spontaneously under different density conditions, or what functional benefit synchronization offers for the collective motion of humans. Here, we conducted a single-file crowd motion experiment that directly tracked the alternating movement of both legs of interacting pedestrians. We show that synchronization is most likely to be triggered at the same density at which the flow rate of pedestrians reaches a maximum value. We demonstrate that synchronization is established in response to an insufficient safety distance between pedestrians, and that it enables pedestrians to realize efficient collective stepping motion without the occurrence of inter-person collisions. These findings provide insights into the collective motion behaviour of humans and may have implications for understanding pedestrian synchronization-induced wobbling, for example, of bridges.

Indexed as

CrowdingGroup ProcessesHumansInterpersonal RelationsMovementPedestriansSpatial BehaviorWalking

Identifiers

PMID33398140
OpenAlexW3120388948

What OpenQuestion holds

Textmetadata
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.