Empirical study on social groups in pedestrian evacuation dynamics

Krüchten, Cornelia von; Schadschneider, Andreas

doi:10.1016/j.physa.2017.02.004

Cited by 141 publications

(65 citation statements)

References 24 publications

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“…Research on pedestrian dynamics has systematically analysed the influence of group behaviour only in the last years (see, e.g., [9,2,8]): although observations and experiments agree on some aggregated and microscopic effects of the presence of groups (e.g. group members walk slower than individuals), there is still need for additional insights, for instance on the spatial patterns assumed by groups in their movement and in general on the interaction among different factors influencing overall pedestrian dynamics (e.g.…”

Section: Introductionmentioning

confidence: 99%

Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Group

Crociani

Gorrini

Feliciani

et al. 2019

Traffic and Granular Flow '17

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Although it is widely recognised that the presence of groups influences microscopic and aggregated pedestrian dynamics, a precise characterisation of the phenomenon still calls for evidences and insights. The present paper describes micro and macro level original analyses on data characterising pedestrian behaviour in presence of counter-flows and grouping, in particular dyads, acquired through controlled experiments. Results suggest that the presence of dyads and their tendency to walk in a line-abreast formation influences the formation of lanes and, in turn, aggregated observables, such as overall specific flow.

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Section: Introductionmentioning

confidence: 99%

Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Group

Crociani

Gorrini

Feliciani

et al. 2019

Traffic and Granular Flow '17

View full text Add to dashboard Cite

show abstract

“…Further, no clear time variation was found between individual and group movements. Similarly, von Krüchten et al (2016) and von Krüchten and Schadschneider (2017) arranged 32-46 participants (dividing into social groups with 4, 6, and 8 people) to egress a narrow door with widths of 0.8m and 1.2m [112,113]. Macroscopic and microscopic features of the egress flows were analyzed.…”

Section: Egress and Ingressmentioning

confidence: 99%

A State-of-the-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement

Shi

Shiwakoti

et al. 2018

Journal of Advanced Transportation

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Complex movement patterns of pedestrian traffic, ranging from unidirectional to multidirectional flows, are frequently observed in major public infrastructure such as transport hubs. These multidirectional movements can result in increased number of conflicts, thereby influencing the mobility and safety of pedestrian facilities. Therefore, empirical data collection on pedestrians’ complex movement has been on the rise in the past two decades. Although there are several reviews of mathematical simulation models for pedestrian traffic in the existing literature, a detailed review examining the challenges and opportunities on empirical studies on the pedestrians complex movements is limited in the literature. The overall aim of this study is to present a systematic review on the empirical data collection for uni- and multidirectional crowd complex movements. We first categorized the complex movements of pedestrian crowd into two general categories, namely, external governed movements and internal driven movements based on the interactions with the infrastructure and among pedestrians, respectively. Further, considering the hierarchy of movement complexity, we decomposed the externally governed movements of pedestrian traffic into several unique movement patterns including straight line, turning, egress and ingress, opposing, weaving, merging, diverging, and random flows. Analysis of the literature showed that empirical data were highly rich in straight line and egress flow while medium rich in turning, merging, weaving, and opposing flows, but poor in ingress, diverging, and random flows. We put emphasis on the need for the future global collaborative efforts on data sharing for the complex crowd movements.

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“…It was found that the growing ratio of selfish pedestrians led to the rise and the disorder of flow rate. von Krchten & Schadschneider (2017) investigated the behaviors of social groups and concluded that the increasing size of social groups could have a positive influence on evacuation.…”

Section: Introductionmentioning

confidence: 99%

Investigation of pedestrian dynamics in circle antipode experiments: Analysis and model evaluation with macroscopic indexes

Xiao

Gao

Jiang

et al. 2019

Transportation Research Part C: Emerging Technologies

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To explore the pedestrian motion navigation and conflict reaction mechanisms in practice, we organized a series of circle antipode experiments. In the experiments, pedestrians are uniformly initialized on the circle and required to leave for their antipodal positions simultaneously. On the one hand, a conflicting area is naturally formulated in the center region due to the converged shortest routes, so the practical conflict avoidance behaviors can be fully explored. On the other hand, the symmetric experimental conditions of pedestrians, e.g., symmetric starting points, symmetric destination points, and symmetric surroundings, lay the foundation for further quantitative comparisons among participants. The pedestrian trajectories in the experiments are recognized and rotated, and several aspects, e.g., the trajectory space distribution, route length, travel time, velocity distribution, and timeseries, are investigated. It is found that: (1) Pedestrians prefer the right-hand side during the experiments; (2) The route length is as the law of log-normal distribution, the route potential obeys the exponential distribution, and the travel time is normally distributed as well as the speed; (3) Taking the short routes unexpectedly cost pedestrians plenty of travel time, while detour seems to be a time-saving decision.What's more, the series of experiments can be regarded as a basis of the model evaluation benefit from the serious conflicts and the symmetric conditions. The evaluation framework contains four distribution indexes and two time series indexes in space and time dimensions, and they are respectively graded according to the K-S test and the DTW method. A traditional social force model and a Voronoi diagram based modification are introduced to test the evaluation framework. The evaluation results show that the framework is beneficial to evaluate pedestrian models and even reflects the minor differences between the models.

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Empirical study on social groups in pedestrian evacuation dynamics

Cited by 141 publications

References 24 publications

Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Group

Micro and Macro Pedestrian Dynamics in Counterflow: The Impact of Social Group

A State-of-the-Art Review on Empirical Data Collection for External Governed Pedestrians Complex Movement

Investigation of pedestrian dynamics in circle antipode experiments: Analysis and model evaluation with macroscopic indexes

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