Pedestrian Crowd Management Experiments: A Data Guidance Paper

Understanding pedestrian dynamics and the interaction of pedestrians with their environment is crucial to the safe and comfortable design of pedestrian facilities. Experiments offer the opportunity to explore the influence of individual factors. In the context of the project CroMa (Crowd Management in transport infrastructures), experiments were conducted with about 1000 participants to test various physical and social psychological hypotheses focusing on people's behaviour at railway stations and crowd management measures. The following experiments were performed: i) Train Platform Experiment, ii) Crowd Management Experiment, iii) Single-File Experiment, iv) Personal Space Experiment, v) Boarding and Alighting Experiment, vi) Bottleneck Experiment and vii) Tiny Box Experiment. This paper describes the basic planning and implementation steps, outlines all experiments with parameters, geometries, applied sensor technologies and pre- and post-processing steps. All data can be found in the pedestrian dynamics data archive.Comment: 58 pages, 19 figures, under review Collective Dynamic

Waiting Behavior and Arousal in Different Levels of Crowd Density: A Psychological Experiment with a “Tiny Box”

Crowd density, defined as persons per square meter, is a basic measuring unit for describing and analyzing crowd dynamics and for planning pedestrian infrastructure. However, little is known about the relationship between crowd density and psychological stress and well-being. This study uses an experimental approach to determine whether higher crowd densities result in higher levels of stress in participants. In this experiment, which was a case study at the university, participants (N = 29) wait in a wooden box of 1 m2 for three minutes. Two, four, six, or eight participants are present simultaneously in the box. It is varied whether participants are supposed to remain silent or to speak with each other. Stress is conceptualized as arousal and measured as skin conductance level/electrodermal activity (EDA). A questionnaire is administered after the experiment, and the positioning of participants in the box is videotaped. The results show that the correlation between crowd density and physiological arousal is more complex than expected. The specific social situation in the box appears to play a more important role than merely the number of people waiting there. Furthermore, our data indicate a temporal trend: participants seem to adapt to the crowd density in the box. Video data analysis reveals that participants choose their positioning and orientation in the box carefully, but that this social choreography works less smoothly in higher densities. This study shows promising results for using EDA as a measurement of arousal in the context of crowd research. However, the limitations of this method and the experiments conducted are also discussed in detail to further improve this approach

The connection between stress, density, and speed in crowds

Abstract Moving around in crowds is part of our daily lives, and we are used to the associated restriction of mobility. Nevertheless, little is known about how individuals experience these limitations. Such knowledge would, however, help to predict behavior, assess crowding, and improve measures for safety and comfort. To address this research gap, we conducted two studies on how constrained mobility affects physiological arousal as measured by mobile electrodermal activity (EDA) sensors. In study 1, we constrained walking speed by externally imposing a specific walking speed without physical proximity to another person, while, in study 2, we varied walking speed by increasing the number of people in a given area. In study 1, we confirmed previous findings showing that faster speeds led to statistically significantly higher levels of physiological arousal. The external limitations of walking speed, however, even if perceived as uncomfortable, did not increase physiological arousal. In the second study, subjects’ speed was gradually reduced by density in a single-lane experiment. This study shows that physiological arousal increased statistically significant with increasing density and decreasing speed, suggesting that people experience more stress when their movement is restricted by proximity to others. The result of study 2 is even more significant given the results of study 1: When there are no other people around, arousal increases with walking speed due to the physiology of walking. This effect reverses when the speed must be reduced due to other people. Then the arousal increases at lower speeds

Nothing Going On? Exploring the Role of Missed Events in Changes in Subjective Well-Being and the Big Five Personality Traits

Objective: Missed events are defined as the nonoccurrence of expected major life events within a specified time frame. We examined whether missed events should be studied in research on growth by exploring the role of missed events for changes in subjective well-being (SWB) and the Big Five personality traits. Method: The samples were selected from two nationally representative panel studies, the German Socioeconomic Panel Innovation Sample (SOEP-IS, total N = 6,638) and the Dutch Longitudinal Internet Studies for the Social Sciences panel (LISS, Ns between 4,262 and 5,749). Rank-order stability and mean-level change were analyzed using regression and mixed models. Type I error probability was reduced by using conservative thresholds for level of significance and minimal effect size. Results: Expected but missed events were more frequent than actually experienced events. For SWB, rank-order stability tended to be lower among those who experienced a missed event than among those who did not. For the Big Five personality traits, significant differences between those who did and those who did not experience a missed event were rare and unsystematic. Conclusion: Missed events merit more attention in future research on growth and personality change, but the effects are probably weak

Nothing going on?

$\bf Objective$ Missed events are defined as the nonoccurrence of expected major life events within a specified time frame. We examined whether missed events should be studied in research on growth by exploring the role of missed events for changes in subjective well-being (SWB) and the Big Five personality traits. $\bf Method$ The samples were selected from two nationally representative panel studies, the German Socioeconomic Panel Innovation Sample (SOEP-IS, total $\it N$ = 6,638) and the Dutch Longitudinal Internet Studies for the Social Sciences panel (LISS, Ns between 4,262 and 5,749). Rank-order stability and mean-level change were analyzed using regression and mixed models. Type I error probability was reduced by using conservative thresholds for level of significance and minimal effect size. $\bf Results$ Expected but missed events were more frequent than actually experienced events. For SWB, rank-order stability tended to be lower among those who experienced a missed event than among those who did not. For the Big Five personality traits, significant differences between those who did and those who did not experience a missed event were rare and unsystematic. $\bf Conclusion$ Missed events merit more attention in future research on growth and personality change, but the effects are probably weak

A glossary for research on human crowd dynamics

This article presents a glossary of terms that are frequently used in research onhuman crowds. This topic is inherently multidisciplinary as it includes work in and across computer science, engineering, mathematics, physics, psychology and social science, for example. We do not view the glossary presented here as a collection of finalised and formal definitions. Instead, we suggest it is a snapshot of current views and the starting point of an ongoing process that we hope will be useful in providing some guidance on the use of terminology to develop a mutual understanding across disciplines. The glossary was developed collaboratively during a multidisciplinary meeting. We deliberately allow several definitions of terms, to reflect the confluence of disciplines in the field. This alsoreflects the fact not all contributors necessarily agree with all definitions in this glossary