000917446 001__ 917446
000917446 005__ 20230224084248.0
000917446 0247_ $$2doi$$a10.1155/2022/7245301
000917446 0247_ $$2ISSN$$a0197-6729
000917446 0247_ $$2ISSN$$a2042-3195
000917446 0247_ $$2Handle$$a2128/33603
000917446 0247_ $$2WOS$$aWOS:000804161100002
000917446 037__ $$aFZJ-2023-00660
000917446 082__ $$a380
000917446 1001_ $$0P:(DE-HGF)0$$aBeermann, Mira$$b0$$eCorresponding author
000917446 245__ $$aWaiting Behavior and Arousal in Different Levels of Crowd Density: A Psychological Experiment with a “Tiny Box”
000917446 260__ $$aLondon$$bHindawi$$c2022
000917446 3367_ $$2DRIVER$$aarticle
000917446 3367_ $$2DataCite$$aOutput Types/Journal article
000917446 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1673846958_28146
000917446 3367_ $$2BibTeX$$aARTICLE
000917446 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000917446 3367_ $$00$$2EndNote$$aJournal Article
000917446 520__ $$aCrowd density, defined as persons per square meter, is a basic measuring unit for describing and analyzing crowd dynamics and for planning pedestrian infrastructure. However, little is known about the relationship between crowd density and psychological stress and well-being. This study uses an experimental approach to determine whether higher crowd densities result in higher levels of stress in participants. In this experiment, which was a case study at the university, participants (N = 29) wait in a wooden box of 1 m2 for three minutes. Two, four, six, or eight participants are present simultaneously in the box. It is varied whether participants are supposed to remain silent or to speak with each other. Stress is conceptualized as arousal and measured as skin conductance level/electrodermal activity (EDA). A questionnaire is administered after the experiment, and the positioning of participants in the box is videotaped. The results show that the correlation between crowd density and physiological arousal is more complex than expected. The specific social situation in the box appears to play a more important role than merely the number of people waiting there. Furthermore, our data indicate a temporal trend: participants seem to adapt to the crowd density in the box. Video data analysis reveals that participants choose their positioning and orientation in the box carefully, but that this social choreography works less smoothly in higher densities. This study shows promising results for using EDA as a measurement of arousal in the context of crowd research. However, the limitations of this method and the experiments conducted are also discussed in detail to further improve this approach.
000917446 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000917446 588__ $$aDataset connected to DataCite
000917446 7001_ $$0P:(DE-Juel1)178979$$aSieben, Anna$$b1
000917446 773__ $$0PERI:(DE-600)2553327-7$$a10.1155/2022/7245301$$gVol. 2022, p. 1 - 14$$p1-14$$tJournal of advanced transportation$$v2022$$x0197-6729$$y2022
000917446 8564_ $$uhttps://juser.fz-juelich.de/record/917446/files/7245301.pdf$$yOpenAccess
000917446 909CO $$ooai:juser.fz-juelich.de:917446$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000917446 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)178979$$aForschungszentrum Jülich$$b1$$kFZJ
000917446 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000917446 9141_ $$y2022
000917446 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2022-11-30
000917446 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000917446 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ ADV TRANSPORT : 2021$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2022-08-22T19:01:29Z
000917446 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2022-08-22T19:01:29Z
000917446 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000917446 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-30
000917446 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2022-08-22T19:01:29Z
000917446 920__ $$lyes
000917446 9201_ $$0I:(DE-Juel1)IAS-7-20180321$$kIAS-7$$lZivile Sicherheitsforschung$$x0
000917446 980__ $$ajournal
000917446 980__ $$aVDB
000917446 980__ $$aUNRESTRICTED
000917446 980__ $$aI:(DE-Juel1)IAS-7-20180321
000917446 9801_ $$aFullTexts