000906341 001__ 906341
000906341 005__ 20230829205457.0
000906341 0247_ $$2doi$$a10.1016/j.physa.2022.127077
000906341 0247_ $$2ISSN$$a0378-4371
000906341 0247_ $$2ISSN$$a1873-2119
000906341 0247_ $$2WOS$$aWOS:000806158500011
000906341 0247_ $$2datacite_doi$$a10.34734/FZJ-2022-01379
000906341 037__ $$aFZJ-2022-01379
000906341 082__ $$a500
000906341 1001_ $$0P:(DE-Juel1)179043$$aPaetzke, Sarah$$b0$$eCorresponding author
000906341 245__ $$aInfluence of individual factors on fundamental diagrams of pedestrians
000906341 260__ $$aAmsterdam$$bNorth Holland Publ. Co.$$c2022
000906341 3367_ $$2DRIVER$$aarticle
000906341 3367_ $$2DataCite$$aOutput Types/Journal article
000906341 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1693304795_21939
000906341 3367_ $$2BibTeX$$aARTICLE
000906341 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000906341 3367_ $$00$$2EndNote$$aJournal Article
000906341 520__ $$aIn recent years, numerous studies have been published dealing with the effect of individual characteristics of pedestrians on the fundamental diagram. These studies compared cumulative data on individuals in a group homogeneous in terms of one human factor such as age but heterogeneous in terms of other factors for instance gender. In order to examine the effect of all determined as well as undetermined human factors, individual fundamental diagrams are introduced and analyzed using multiple linear regression. A single-file school experiment with students of different age, gender, and height is therefore considered. Single individuals appearing in different runs are analyzed to study the effect of human factors such as height, age and gender and all other unknown individual effects such as motivation or attention to the individual speed. The analysis shows that for students age and height are strongly correlated and, consequently, age can be ignored. Furthermore, the study shows that gender has a weak effect and other nonmeasurable individual characteristics have a stronger effect than height. In a further step, a mixed model is used as well as the multiple linear model. Here, it is shown that the mixed model that considers all other unknown individual effects of each person as a random factor is preferable to the model where the individual speed only depends on the variables of headway, height, and all other unknown individual effects as fixed factors.
000906341 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000906341 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000906341 7001_ $$0P:(DE-Juel1)132064$$aBoltes, Maik$$b1
000906341 7001_ $$0P:(DE-Juel1)132266$$aSeyfried, Armin$$b2
000906341 773__ $$0PERI:(DE-600)1466577-3$$a10.1016/j.physa.2022.127077$$gp. 127077 -$$p127077 -$$tPhysica / A$$v595$$x0378-4371$$y2022
000906341 8564_ $$uhttps://juser.fz-juelich.de/record/906341/files/Invoice_OAD0000189542.pdf
000906341 8564_ $$uhttps://juser.fz-juelich.de/record/906341/files/1-s2.0-S0378437122001248-main.pdf$$yOpenAccess
000906341 8564_ $$uhttps://juser.fz-juelich.de/record/906341/files/Influence_individual_SPaetzke.pdf$$yOpenAccess
000906341 8767_ $$8OAD0000189542$$92022-02-18$$d2022-02-24$$eHybrid-OA$$jZahlung erfolgt$$zBelegnr.1200177743
000906341 909CO $$ooai:juser.fz-juelich.de:906341$$pOpenAPC$$popen_access$$popenaire$$pdriver$$pVDB$$popenCost$$pdnbdelivery
000906341 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)179043$$aForschungszentrum Jülich$$b0$$kFZJ
000906341 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132064$$aForschungszentrum Jülich$$b1$$kFZJ
000906341 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132266$$aForschungszentrum Jülich$$b2$$kFZJ
000906341 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$$x0
000906341 9141_ $$y2022
000906341 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-11
000906341 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000906341 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-28
000906341 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000906341 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bPHYSICA A : 2021$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-28
000906341 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-11
000906341 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-11$$wger
000906341 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-11
000906341 9201_ $$0I:(DE-Juel1)IAS-7-20180321$$kIAS-7$$lZivile Sicherheitsforschung$$x0
000906341 980__ $$ajournal
000906341 980__ $$aVDB
000906341 980__ $$aUNRESTRICTED
000906341 980__ $$aI:(DE-Juel1)IAS-7-20180321
000906341 980__ $$aAPC
000906341 9801_ $$aAPC
000906341 9801_ $$aFullTexts