Evidence map›Paper›PMID 35239720›Full record

ArticlePloS one2022

Pedestrian flow characteristics through different angled bends: Exploring the spatial variation of velocity.

Jamal Hannun, Charitha Dias, Alaa Hasan Taha, Abdulaziz Almutairi, Wael Alhajyaseen, Majid Sarvi, Salim Al-Bosta

Abstract read
In one paragraph

Article in PloS one, 2022. 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. Runnability: A Scoping Review.International journal of environmental research and public health · 2025
    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

7 authors.

Jamal HannunDepartment of Civil and Architectural Engineering, Qatar University, Doha, Qatar.
Charitha DiasDepartment of Civil and Architectural Engineering, Qatar University, Doha, Qatar.ORCID 0000-0002-0773-5662
Alaa Hasan TahaDepartment of Civil and Architectural Engineering, Qatar University, Doha, Qatar.
Abdulaziz AlmutairiDepartment of Civil and Architectural Engineering, Qatar University, Doha, Qatar.
Wael AlhajyaseenDepartment of Civil and Architectural Engineering, Qatar University, Doha, Qatar.ORCID 0000-0003-1757-1363
Majid SarviDepartment of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia.
Salim Al-BostaSupreme Committee for Delivery and Legacy, Al Bidda Tower, Corniche Street, Doha, Qatar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Common geometrical layouts could potentially be bottlenecks, particularly during emergency and high density situations. When pedestrians are interacting with such complex geometrical settings, the congestion effect might not be uniform over the bottleneck area. This study uses the trajectory data collected through a controlled laboratory experiment to explore the spatial variation of speeds when a group of people navigates through bends. Four turning angles, i.e., 45°, 90°, 135° and 180°, with a straight corridor and two speed levels, i.e., normal speed walking and slow running (jogging), were considered in these experiments. Results explained that the speeds are significantly different over the space within the bend for all angles (except 0°) under both speed levels. In particular, average walking speeds are significantly lower near the inner corner of the bend as compared to the outer corner. Further, such speed variations are magnified when the angle of the bend and desired speed increase. These outcomes indicate that even smaller turning angles, e.g., 45° could create bottlenecks near the inner corner of the bend, particularly when the walking speeds are high. The findings of this study could be useful in understanding the congestion and bottleneck effects associated with complex geometrical settings, and calibrating microscopic simulation tools to accurately reproduce such effects.

Indexed as

PedestriansRunningComputer SimulationHumansWalking

Identifiers

PMID35239720
PMCPMC8893709

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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.