Exploring the Dynamic Relationship between Pushing Behavior and Crowd Dynamics

Ezel Uesten; Jette Schumann; Anna Sieben

doi:10.17815/CD.2023.143

Authors

Ezel Uesten Forschungszentrum Jülich, Jülich, Germany https://orcid.org/0000-0003-2250-4245
Jette Schumann Forschungszentrum Jülich, Jülich, Germany https://orcid.org/0000-0003-3668-999X
Anna Sieben University of St.Gallen, St. Gallen, Switzerland https://orcid.org/0000-0003-0203-2076

DOI:

https://doi.org/10.17815/CD.2023.143

Abstract

Crowds, subjects of considerable complexity, have been extensively studied both as homogeneous entities and as collective sums of individual movements in various studies. However, crowd models, being grounded in physics, are limited in terms of incorporating psychological perspectives on individual behavior. Building upon the premise that crowd behavior is heterogeneous and dynamic, particularly in bottleneck scenarios, this study aims to explore the nuances of forward motion. Adopting the category system proposed by Lügering et al. (2022) (consisting the following categories: strong pushing, mild pushing, just walking, falling behind), this paper investigates the circumstances and locations where pushing or non-pushing behaviors arise, intensify, or cease within crowds approaching bottlenecks. The study utilized 14 video materials obtained from previous laboratory pedestrian experiments to examine the spatial characteristics of forward motion and pushing behavior in relation to corridor widths and varied motivational instructions. Two trained raters independently annotated these videos, achieving satisfactory inter-rater agreement (KALPHA = .65) , and a joint dataset was then created for each video. These videos consisted both high (7 videos) and low (7 videos) motivation scenarios. The importance of corridor width was also considered: four videos featured a 5.6m width, another four featured a 4.5m width, and the remaining videos displayed widths of 3.4m, 2.3m, and 1.2m twice. Our findings suggest a tendency for increased pushing behavior or an increase in the categories as individuals approach the bottleneck, regardless of the width of the corridor or the motivational instruction. Furthermore, non-pushing behaviors were predominantly observed in the areas farther away from the bottleneck. A noticeable trend was observed in high motivation scenarios, which generally exhibited more instances of pushing behavior. The effect of corridor width indicated that, in certain cases, pedestrians who push in wider corridors experience faster access to the bottleneck. However, this effect is less significant in narrower widths.

References

Lügering, H., Üsten, E., Sieben, A.: Pushing and Non-pushing Forward Motion in Crowds: A Systematic Psychological Observation Method for Rating Individual Behavior in Pedestrian Dynamics. Collective Dynamics 7, 1-16 (2022). doi:10.17815/CD.2022.138

Mann, L.: Queue culture: The waiting line as a social system. American Journal of Sociology 75(3), 340-354 (1969)

Kneidl, A.: How do people queue? a study of different queuing models. Traffic and Granular Flow '15 (2016). doi:10.1007/978-3-319-33482-0_26

Haghani, M., Sarvi, M., Shahhoseini, Z.: When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds. Transportation Research Part A: Policy and Practice 122, 51-69 (2019). doi:10.1016/j.tra.2019.02.007

Adrian, J., Seyfried, A., Sieben, A.: Crowds in front of bottlenecks at entrances from the perspective of physics and social psychology. Journal of The Royal Society Interface 17(165), 20190871 (2020). doi:10.1098/rsif.2019.0871

Johnson, N.R.: Panic at “The Who Concert Stampede”: An Empirical Assessment*. Social Problems 34(4), 362-373 (1987). doi:10.2307/800813

Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of Pedestrian Crowds in Normal and Evacuation Situations. Pedestrian and evacuation dynamics 21(1), 21-58 (2002). doi:20.500.11850/123980

Garcimartín, A., Zuriguel, I., Pastor, J.M., Martín-Gómez, C., Parisi, D.R.: Experimental Evidence of the “Faster Is Slower” Effect. Transportation Research Procedia 2, 760-767 (2014). doi:10.1016/j.trpro.2014.09.085

Feldmann, S., Adrian, J.: Forward propagation of a push through a row of people. Safety Science 164, 106173 (2023). doi:10.1016/j.ssci.2023.106173

Drury, J., Cocking, C., Reicher, S., Burton, A., Schofield, D., Hardwick, A., Graham, D., Langston, P.: Cooperation versus competition in a mass emergency evacuation: A new laboratory simulation and a new theoretical model. Behavior Research Methods 41(3), 957-970 (2009). doi:10.3758/BRM.41.3.957

Reicher, S.D.: The battle of westminster: Developing the social identity model of crowd behaviour in order to explain the initiation and development of collective conflict. European Journal of Social Psychology 26(1), 115-134 (1996)

Institute for Advanced Simulation 7 Civil Safety Research, F.J.: Data archive of experimental data from studies about pedestrian dynamics. doi:10.34735/ped.da

Institute for Advanced Simulation 7 Civil Safety Research, F.J.: Crowds in front of bottlenecks from the perspective of physics and social psychology [data set] (2018). doi:10.34735/ped.2018.1

Boltes, M., Seyfried, A., Steffen, B., Schadschneider, A.: Automatic Extraction of Pedestrian Trajectories from Video Recordings. In: Klingsch, W.W.F., Rogsch, C., Schadschneider, A., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics 2008, pp. 43-54. Springer, Berlin, Heidelberg (2010). doi:10.1007/978-3-642-04504-2_3

Krippendorff, K.: Computing krippendorff's alpha-reliability (2011). Retrieved from https://repository.upenn.edu/asc_papers/43.

Hayes, A.F., Krippendorff, K.: Answering the Call for a Standard Reliability Measure for Coding Data. Communication Methods and Measures 1(1), 77-89 (2007). doi:10.1080/19312450709336664

De Swert, K.: Calculating inter-coder reliability in media content analysis using krippendorff’s alpha p. 15 (2012)

Sieben, A., Schumann, J., Seyfried, A.: Collective phenomena in crowds—Where pedestrian dynamics need social psychology. PLOS ONE 12(6), e0177328 (2017). doi:10.1371/journal.pone.0177328

Jhang, J.H., Lynch, J.G.: Pardon the interruption: Goal proximity, perceived spare time, and impatience. Journal of Consumer Research 41(5), 1267-1283 (2015). doi:10.1086/679308

Steel, P., König, C.J.: Integrating theories of motivation. Academy of Management Review 31(4), 889-913 (2006). doi:10.5465/amr.2006.22527462

Latham, G., Seijts, G.: The effects of proximal and distal goals on performance on a moderately complex task. Journal of Organizational Behavior 20(4), 421-429 (1999)

Atkinson, J.: An introduction to motivation. An introduction to motivation. Van Nostrand, Oxford, England (1964)

Vroom, V.: Work and motivation. Work and motivation. Wiley, Oxford, England (1964)

Porter, L.W., Lawler, E.E.: Managerial attitudes and performance. Irwin-Dorsey series in behavioral science in business. R.D. Irwin, Homewood, Ill. (1968). OCLC: 243614

Lügering, H., Alia, A., Sieben, A.: Psychological pushing propagation in crowds – does the observation of pushing behavior promote further intentional pushing? Journal of Applied Social Psychology (submitted) (2023)