Evidence map›Paper›PMID 32517631›Full record

ArticleJournal of the Royal Society, Interface2020

Assessing crowd management strategies for the 2010 Love Parade disaster using computer simulations and virtual reality.

Hantao Zhao, Tyler Thrash, Mubbasir Kapadia, Katja Wolff, Christoph Hölscher, Dirk Helbing, Victor R Schinazi

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Hantao ZhaoChair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
Tyler ThrashChair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
Mubbasir KapadiaDepartment of Computer Science, Rutgers University, Piscataway, NJ, USA.
Katja WolffInteractive Geometry Lab, ETH Zürich, Zurich, Switzerland.
Christoph HölscherChair of Cognitive Science, ETH Zürich, Zurich, Switzerland.
Dirk HelbingComputational Social Science, ETH Zürich, Zurich, Switzerland.
Victor R SchinaziChair of Cognitive Science, ETH Zürich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dense crowds in public spaces have often caused serious security issues at large events. In this paper, we study the 2010 Love Parade disaster, for which a large amount of data (e.g. research papers, professional reports and video footage) exist. We reproduce the Love Parade disaster in a three-dimensional computer simulation calibrated with data from the actual event and using the social force model for pedestrian behaviour. Moreover, we simulate several crowd management strategies and investigate their ability to prevent the disaster. We evaluate these strategies in virtual reality (VR) by measuring the response and arousal of participants while experiencing the simulated event from a festival attendee's perspective. Overall, we find that opening an additional exit and removing the police cordons could have significantly reduced the number of casualties. We also find that this strategy affects the physiological responses of the participants in VR.

Indexed as

DisastersVirtual RealityComputer SimulationCrowdingHumansLovecrowd disasterscrowd simulationphysiological arousalspatial cognitionvirtual reality

Identifiers

PMID32517631
PMCPMC7328386

What OpenQuestion holds

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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.