Influence of individual factors on fundamental diagrams of pedestrians

Paetzke, Sarah; Boltes, Maik; Seyfried, Armin

doi:10.1016/j.physa.2022.127077

Cited by 14 publications

(12 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, there are contradictive conclusions on the effects of gender and age in the research field. Paetzke et al [9] integrated the results of single participants appearing in different runs in their experiment, which was similar to the experiment mentioned in the work of Wang et al [8] The individual fundamental diagrams were introduced and analyzed using multiple linear regression. Their results showed that gender has a weak effect on the speed-headway relations of the pedestrians in the experiment.…”

Section: Introductionmentioning

confidence: 83%

“…The steady-state interval was defined as a time interval starting at the time when the average speed of the participants firstly reached the entire average speed, and ending at the time when the entire average speed was reached for the last time. [9] (iii) Then for the trajectory of each pedestrian i, x i (t) was smoothed over a time window of 0.4 s (10 frames) with a moving average filter. The longitudinal speed v x i (t) along the xaxis for each pedestrian i at time t was calculated by…”

Section: Experiments Detailsmentioning

confidence: 99%

See 1 more Smart Citation

Investigating the characteristic delay time in the leader-follower behavior in children single-file movement

Xue¹,

Shiwakoti²,

Shi³

et al. 2023

Chinese Phys. B

View full text Add to dashboard Cite

The single-file movement experiment offers a convenient way to investigate the one-dimensional leader-follower behavior of pedestrians. This study investigated the time delays of children pedestrians in the leader-follower behavior by introducing a time-dependent delayed speed correlation. A total of 118 German students from the fifth grade (aged 11-12 years old) and the 11th grade (aged 17-18 years old) participated the single-file experiment. The characteristic delay time for each pedestrian was identified by optimising the time-dependent delayed speed correlation. The influences of the curvature of the experimental scenario, density, age, and gender on the delay time were statistically examined. The results suggested that to a large extent, the revealed characteristic delay time was a density-dependent variable, and none of the curvatures, the age and gender of the individual, and the age and gender of the leader have a significant influence on it. The findings from this study are variable resources to understand the leader-follower behavior among children pedestrians and to build related simulation models.

show abstract

Section: Introductionmentioning

confidence: 83%

Section: Experiments Detailsmentioning

confidence: 99%

Investigating the characteristic delay time in the leader-follower behavior in children single-file movement

Xue¹,

Shiwakoti²,

Shi³

et al. 2023

Chinese Phys. B

View full text Add to dashboard Cite

show abstract

“…This result suggests that the arrangement by gender has an effect on the distances between pedestrians and must be taken into account in modeling the speed-density relation. While these findings indicate a significant contribution of gender, in Paetzke et al [40], it was still concluded that gender could be neglected. This analysis is based on multiple linear regression from experiments with heterogeneous group compositions.…”

Section: Introductionmentioning

confidence: 89%

“…Furthermore, it should be noted that often the problem arises that the fundamental diagrams represent a group that is homogeneous in one factor but different in terms of other factors. This problem was discussed in more detail in [40],…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Influence of Gender Composition in Pedestrian Single-File Experiments

2023

Self Cite

View full text Add to dashboard Cite

Various studies address the question of which factors are relevant to the course of the fundamental diagram in single-file experiments. Some indicate that there are differences due to group composition when gender is taken into account. For this reason, further single-file experiments with homogeneous and heterogeneous group compositions were conducted. A Tukey HSD test was performed to investigate whether there are differences between the mean of velocity in different density ranges. A comparison of different group compositions showed that the effect of gender can only be seen, if at all, in a small density interval. Regression analyses were also conducted to determine whether, at high densities, the distance between individuals depends on the gender of the neighboring pedestrians and to establish which human factors have an effect on the velocity. An analysis of the distances between individuals at high densities indicated that there was no effect of the gender of the neighboring pedestrians. Taking into account additional human factors in a regression analysis did not improve the model.

show abstract