Evidence map›Paper›PMID 40561025›Full record

ArticleScience advances2025

Unraveling human crowd dynamics through the foot tracking of pedestrians.

Yi Ma, Zhipan Niu, Meng Shi, Wei Xie, Zuoan Hu, Yidong Wei, Tian Zeng, Eric Wai Ming Lee

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Yi MaInstitute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-4476-4673
Zhipan NiuInstitute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, China.ORCID 0000-0001-8679-382X
Meng ShiSchool of Computer Science, South-central Minzu University, Wuhan 430074, China.ORCID 0000-0001-9765-3101
Wei XieInstitute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, China.ORCID 0000-0002-4582-6418
Zuoan HuSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610065, China.
Yidong WeiDepartment of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0009-0002-8646-8140
Tian ZengDepartment of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China.ORCID 0009-0001-4322-5213
Eric Wai Ming LeeDepartment of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Movement of pedestrian crowds is ubiquitous in human society. However, it is unclear what dynamical regimes pedestrian crowds can exhibit at different crowd densities, how pedestrians move in these different dynamical regimes, and in which dynamical regime the movement synchronization of pedestrians is most likely to occur. Here, we conducted a unidirectional crowd movement experiment, in which we tracked the movement of pedestrian crowds through foot tracking. We find experimentally that pedestrian crowds can exhibit three distinct dynamical regimes (free regime, slow-moving regime, and jammed regime) depending on the crowd density. In the free regime, pedestrians' movement is not constrained; in the slow-moving regime, pedestrians' speed is constrained, but pedestrians' movement direction in each step is not influenced; and in the jammed regime, both pedestrians' speed and movement direction in each step are constrained. We also demonstrate that pedestrians are most likely to synchronize their movements spontaneously at the onset of jamming. Our findings provide important insights into crowd dynamics.

Indexed as

CrowdingFootPedestriansWalkingFemaleHumansMaleMovement

Identifiers

PMID40561025
PMCPMC12189950

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.