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| Hauptseite > Publikationsdatenbank > Speed-Density Analysis in Pedestrian Single-File Experiments |
| Hauptseite > Publikationsdatenbank > Speed-Density Analysis in Pedestrian Single-File Experiments |
| Book/Dissertation / PhD Thesis | FZJ-2025-02345 |
2025
Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag
Jülich
ISBN: 978-3-95806-818-6
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Please use a persistent id in citations: doi:10.34734/FZJ-2025-02345
Abstract: In recent years, many studies have been published on how individual characteristics of pedestrians affect the fundamental diagram. These studies compared cumulative data from individuals within groups that were homogeneous in one characteristic, such as age, but heterogeneous in other factors, such as gender. The question arises regarding which factors influence the fundamental diagram in single-file experiments. In addition, some research suggests that group composition, particularly gender, may impact the results. Therefore, three different single-file experiments are considered in this study. The first step in data analysis is considering the speed-density relationship between homogeneous and heterogeneous group compositions regarding gender. Second, individual fundamental diagrams are introduced and analyzed to investigate the effects of both known and unknown human factors. In addition, the speed-density model that best describes the speed of the individuals is studied. For a single-file experiment conducted in Germany with groups of participants that are either homogeneous or heterogeneous in terms of gender, a Tukey HSD test is carried out. This is done to determine any differences between these groups in the average speed over various density ranges. A comparison of different group compositions shows that any effect of gender is only observed, if at all, within a small range of densities. For a cultural comparison, the previous experiment is compared with a single-file experiment conducted in Palestine with homogeneous and heterogeneous gender compositions. There are no significant cultural differences. Two single-file experiments in Germany are considered to investigate differences in minimum distances and reaction times between individuals in different densities and to analyze the influence of the gender of neighboring pedestrians. It is also studied how human factors such as height, age, and gender and unknown individual effects such as motivation or attention affect individual speed. Regression analysis is performed for this. One experiment is a school experiment, and the results based on a simple linear regression analysis show that the differences in minimum distances and reaction times are not very significant and are less pronounced. Using a multiple linear regression analysis, the human factors analysis suggested that age could be neglected as there is a strong correlation between the students’ age and height. In addition, the study highlights that headway has the most significant influence on speed. At the same time, gender plays a minor role, and other non-measurable individual characteristics have a more significant impact than height. The results of the other experiment with different gender compositions in Germany show no correlation between the genders of neighboring pedestrians in minimum distances and reaction times. In the human factor analysis, the model stays consistent compared to the other experiment in Germany when additional factors are included.
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