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| 001 | 857187 | ||
| 005 | 20210129235523.0 | ||
| 037 | _ | _ | |a FZJ-2018-06424 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Adrian, Juliane |0 P:(DE-Juel1)173971 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a Physics and Psychology of Human Crowd Dynamics |c Leiden |d 2018-11-05 - 2018-11-09 |w Netherlands |
| 245 | _ | _ | |a Queuing or Pushing in Front of Bottlenecks |
| 260 | _ | _ | |c 2018 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a Other |2 DataCite |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a LECTURE_SPEECH |2 ORCID |
| 336 | 7 | _ | |a Conference Presentation |b conf |m conf |0 PUB:(DE-HGF)6 |s 1542209358_15538 |2 PUB:(DE-HGF) |x Other |
| 520 | _ | _ | |a We present the results of a study investigating the influence of the corridor width directly in front of a bottleneck on the behavior of participants. The main question is whether there is a critical corridor width limiting queuing behavior and facilitating a pushing behavior. In our study, we varied the corridor width between 1.2 m and 5.6 m which is leading to a 0.5 m wide bottleneck. Students of the University of Wuppertal were recruited as participants directly after their lectures. Each group of students had to perform two runs with the same corridor width but different degrees of motivation. In the first run, the motivation was higher than in the second run. For high motivation, the students had to imagine that they want to enter a concert and only the first persons to enter will have an undisturbed view of the stage. For low motivation, they were told that all persons will be able to see the stage.Our findings are mainly based on density and waiting-time measurements. It is shown that wide corridors and a high motivation of the participants facilitate a strong contraction followed by high densities indicating a pushing behavior. Narrow corridors and a low motivation lead to medium densities rather indicating a queuing behavior. Another finding of our study is that the number of participants also has an influence on the maximum density. Therefore, we suggest to use the number of participants as additional controlled parameter in future studies. |
| 536 | _ | _ | |a 511 - Computational Science and Mathematical Methods (POF3-511) |0 G:(DE-HGF)POF3-511 |c POF3-511 |f POF III |x 0 |
| 909 | C | O | |o oai:juser.fz-juelich.de:857187 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)173971 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |1 G:(DE-HGF)POF3-510 |0 G:(DE-HGF)POF3-511 |2 G:(DE-HGF)POF3-500 |v Computational Science and Mathematical Methods |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |l Supercomputing & Big Data |
| 914 | 1 | _ | |y 2018 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-7-20180321 |k IAS-7 |l Zivile Sicherheitsforschung |x 0 |
| 980 | _ | _ | |a conf |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-7-20180321 |
| 980 | _ | _ | |a UNRESTRICTED |
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