Evidence map›Paper›PMID 39809832›Full record

ArticleScientific reports2025

Quantifying crowding perception at large events using beacons and surveys.

Sakurako Tanida, Hyerin Kim, Claudio Feliciani, Xiaolu Jia, Akira Takahashi, Tetsuya Aikoh, Katsuhiro Nishinari

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sakurako TanidaResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan. u-tanida@g.ecc.u-tokyo.ac.jp.
Hyerin KimResearch Faculty of Agriculture, Hokkaido University, Sapporo City, Hokkaido, 060-8589, Japan.
Claudio FelicianiResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.
Xiaolu JiaResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.
Akira TakahashiD3 Center, Osaka University, Ibaraki City, Osaka, 567-0047, Japan.
Tetsuya AikohResearch Faculty of Agriculture, Hokkaido University, Sapporo City, Hokkaido, 060-8589, Japan.
Katsuhiro NishinariResearch Center for Advanced Science and Technology, The University of Tokyo, Tokyo, 153-8904, Japan.

Funding

JST-Mirai Program JPMJMI20D1
6 · The paper itself

Abstract

Given the increasing urban population and frenetic mobility, understanding how individuals perceive crowding at large-scale events is crucial for effective crowd management and safety. This study focuses on Tokyo Big Sight in Japan exhibitions to examine participants' perceptions of peak crowding times, locations, and local density, and compare them with the actual measurements. Our methodology integrated questionnaires with beacon tag data. The results showed that participants' perceptions of crowded times and locations aligned well with the actual (measured) crowding data, demonstrating that people can pick crowded moments and locations with better accuracy. However, when asked to select images that closely reflect crowding density conditions within the facility, the association was mostly relative (i.e., context-depending) and lacked absolute accuracy. Furthermore, perceptions of time tend to be biased towards exit times. This study underscores the necessity for event organizers and urban planners to account for the subjective and relative nature of individual crowding experiences, thereby emphasizing the need for adaptive management strategies that consider personal perceptions.

Indexed as

CrowdingPerceptionAdultFemaleHumansMaleSurveys and QuestionnairesTokyoUrban PopulationYoung AdultBluetoothCrowding perceptionCrowd managementsLarge scale eventsQuestionnaire

Identifiers

PMID39809832
PMCPMC11733123

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.