Evidence map›Paper›PMID 42111781›Full record

ArticleHealth promotion perspectives2025

Visitor responses to emergency evacuation: A human behavior approach.

Omid Akbarzadeh, Parisa Moshashaei, Hamed Golzad, Henry Liu, Seyed Shamseddin Alizadeh

Abstract read
In one paragraph

Article in Health promotion perspectives, 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

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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

5 authors.

Omid AkbarzadehDepartment of Occupational Health and Safety, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.ORCID https://orcid.org/0000-0002-4080-4877
Parisa MoshashaeiSchool of Built Environment and Design, Faculty of Art and Design, University of Canberra, Canberra 2617, Australia.
Hamed GolzadSchool of Built Environment and Design, Faculty of Art and Design, University of Canberra, Canberra 2617, Australia.ORCID https://orcid.org/0000-0002-1453-5060
Henry LiuSchool of Built Environment and Design, Faculty of Art and Design, University of Canberra, Canberra 2617, Australia.
Seyed Shamseddin AlizadehDepartment of Occupational Health and Safety, Faculty of Health, Tabriz University of Medical Sciences, Tabriz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigates human behaviours during emergency evacuations using data collected at the Tabriz Grand Bazaar (TGB), a UNESCO World Heritage site and the world's largest covered market. While past studies modelled crowd evacuations through simulations, limited empirical research exists on real human behaviour. Methods: Drawing on 749 questionnaire responses from TGB visitors, the study explores four key aspects of evacuation dynamics: (1) proactive vs. reactive responses; (2) competitive vs. cooperative interactions; (3) symmetry-breaking behaviours; and (4) route selection. Results: The analysis revealed that 44.2% of participants reported engaging in competitive behaviours (e.g., pushing), while only 8.4% showed a strong willingness to help others. Over 90% tended to follow others during evacuations, and 77.8% preferred to avoid the least crowded exit, indicating high symmetry-breaking tendencies. No significant correlation was found between gender and evacuation behaviours, but marital status, education, and age were significantly associated with different behavioural strategies. Conclusion: The study contributes by (1) providing behavioural insights for emergency planning, (2) informing the design of realistic evacuation simulations, and (3) offering empirical evidence to support future research.

Indexed as

CrowdingDecision makingDisaster planningEmergency shelterSafety managementSocial behaviorUrban health

Identifiers

PMID42111781
PMCPMC13156258

What OpenQuestion holds

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LicenceCC BY
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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.