Evidence map›Paper›PMID 33731351›Full record

ArticleScience advances2021

Mutual anticipation can contribute to self-organization in human crowds.

Hisashi Murakami, Claudio Feliciani, Yuta Nishiyama, Katsuhiro Nishinari

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
13.3field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 105 citations in OpenAlex.

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  6. Order-disorder transition in multidirectional crowds.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  13. Emergence and collapse of reciprocity in semiautomatic driving coordination experiments with humans.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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 1 country.

Hisashi MurakamiResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan. hssh415@gmail.com.ORCID 0000-0002-1433-0524
Claudio FelicianiResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.
Yuta NishiyamaInformation and Management Systems Engineering, Nagaoka University of Technology, Niigata 940-2188, Japan.ORCID 0000-0003-1536-060X
Katsuhiro NishinariResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan.ORCID 0000-0003-3069-1757
The University of Tokyo · JPNagaoka University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human crowds provide paradigmatic examples of collective behavior emerging through self-organization. Understanding their dynamics is crucial to help manage mass events and daily pedestrian transportation. Although recent findings emphasized that pedestrians' interactions are fundamentally anticipatory in nature, whether and how individual anticipation functionally benefits the group is not well understood. Here, we show the link between individual anticipation and emergent pattern formation through our experiments of lane formation, where unidirectional lanes are spontaneously formed in bidirectional pedestrian flows. Manipulating the anticipatory abilities of some of the pedestrians by distracting them visually delayed the collective pattern formation. Moreover, both the distracted pedestrians and the nondistracted ones had difficulties avoiding collisions while navigating. These results imply that avoidance maneuvers are normally a cooperative process and that mutual anticipation between pedestrians facilitates efficient pattern formation. Our findings may influence various fields, including traffic management, decision-making research, and swarm dynamics.

Indexed as

PedestriansCrowdingHumansMass GatheringsPersonalityTransportationWalking

Identifiers

PMID33731351
PMCPMC7968841
OpenAlexW3138277108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.