Hauptseite > Publikationsdatenbank > Quantification of Bottleneck Effects for Different Types of Facilities > print

001     156270
005     20210129214230.0
024 7 _ |a 10.1016/j.trpro.2014.09.008
|2 doi
024 7 _ |a 2128/7997
|2 Handle
024 7 _ |a WOS:000366304000007
|2 WOS
037 _ _ |a FZJ-2014-05061
100 1 _ |a Zhang, Jun
|0 P:(DE-Juel1)156196
|b 0
|e Corresponding Author
|u fzj
111 2 _ |a The Conference on Pedestrian and Evacuation Dynamics 2014
|c Delft
|d 2014-10-22 - 2014-10-25
|w The Netherlands
245 _ _ |a Quantification of Bottleneck Effects for Different Types of Facilities
260 _ _ |c 2014
295 1 0 |a Transportation Research Procedia
300 _ _ |a 51-59
336 7 _ |a Contribution to a conference proceedings
|b contrib
|m contrib
|0 PUB:(DE-HGF)8
|s 156270
|2 PUB:(DE-HGF)
336 7 _ |a Contribution to a book
|0 PUB:(DE-HGF)7
|2 PUB:(DE-HGF)
|m contb
336 7 _ |a Conference Paper
|0 33
|2 EndNote
336 7 _ |a CONFERENCE_PAPER
|2 ORCID
336 7 _ |a Output Types/Conference Paper
|2 DataCite
336 7 _ |a conferenceObject
|2 DRIVER
336 7 _ |a INPROCEEDINGS
|2 BibTeX
520 _ _ |a Restrictions of pedestrian flow could be triggered by directional changes, merging of streams and other changes or disturbances causing effects similar to bottlenecks given by geometrical narrowings. In this contribution we analyze empirically how the types of the changes or disturbances influence the capacity of a facility. For this purpose four types of facilities including a short narrowing, a long narrowing, a corner and a T-junction are investigated. It is found that the reduction of pedestrian flow depends on the shape and the length of the narrowing. The maximum observed flow of the corner (about 1.45 (m s)-1) is the lowest in all facilities studied, whereas that of the short narrowing is highest. The finding indicates that the usage of an unique fundamental diagram for the description of pedestrian flow at different kind of geometrical narrowings is limited.
536 _ _ |a 411 - Computational Science and Mathematical Methods (POF2-411)
|0 G:(DE-HGF)POF2-411
|c POF2-411
|f POF II
|x 0
588 _ _ |a Dataset connected to CrossRef, juser.fz-juelich.de
700 1 _ |a Seyfried, Armin
|0 P:(DE-Juel1)132266
|b 1
|u fzj
773 _ _ |a 10.1016/j.trpro.2014.09.008
|p 51-59
|v 2
856 4 _ |u https://juser.fz-juelich.de/record/156270/files/FZJ-2014-05061.pdf
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/156270/files/FZJ-2014-05061.jpg?subformat=icon-144
|x icon-144
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/156270/files/FZJ-2014-05061.jpg?subformat=icon-180
|x icon-180
|y OpenAccess
856 4 _ |u https://juser.fz-juelich.de/record/156270/files/FZJ-2014-05061.jpg?subformat=icon-640
|x icon-640
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:156270
|p openaire
|p open_access
|p driver
|p VDB
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 0
|6 P:(DE-Juel1)156196
910 1 _ |a Forschungszentrum Jülich GmbH
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)132266
913 2 _ |a DE-HGF
|b POF III
|l Key Technologies
|1 G:(DE-HGF)POF3-510
|0 G:(DE-HGF)POF3-511
|2 G:(DE-HGF)POF3-500
|v Supercomputing & Big Data
|x 0
913 1 _ |a DE-HGF
|b Schlüsseltechnologien
|l Supercomputing
|1 G:(DE-HGF)POF2-410
|0 G:(DE-HGF)POF2-411
|2 G:(DE-HGF)POF2-400
|v Computational Science and Mathematical Methods
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF2
914 1 _ |y 2014
915 _ _ |a Creative Commons Attribution CC BY 3.0
|0 LIC:(DE-HGF)CCBY3
|2 HGFVOC
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
920 1 _ |0 I:(DE-Juel1)JSC-20090406
|k JSC
|l Jülich Supercomputing Center
|x 0
980 _ _ |a contrib
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a FullTexts
980 _ _ |a contb
980 _ _ |a I:(DE-Juel1)JSC-20090406
980 1 _ |a FullTexts

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21