The difference between individuals and social groups in multidirectional movement

Yanghui Hu, Jun Zhang, Weiguo Song

Abstract


Social groups exhibit some degree of social cohesion that is more than a simple collection or aggregation of individuals. The study on behaviours of social groups is essential to gain a deeper understanding on pedestrian dynamics. In this paper, the crowd movement among individuals and social groups are studied by performing a series of multidirectional pedestrian flow experiments under laboratory condition. Interestingly, we found that the speed of individual is not always higher than that of social groups. Pedestrians try to use different strategies to arrive their destination. With different strategies, their speed and movement time show different properties. These findings may provide basis for facility design and evacuation plan.

Keywords


social group; individual; pedestrian dynamic; speed; movement time

Full Text:

PDF

References


M. L. Federici, A. Gorrini, L. Manenti, and G. Vizzari, "Data collection for modeling and simulation: case study at the university of milan-bicocca," in International Conference on Cellular Automata, 2012, pp. 699-708: Springer.

C. H. Jazwinski and C. H. Walcheski, "At the mall with children: Group size and pedestrian economy of movement," Environment and Behavior, vol. 43, no. 3, pp. 363-386, 2011.

M. Moussaïd, N. Perozo, S. Garnier, D. Helbing, and G. Theraulaz, "The walking behaviour of pedestrian social groups and its impact on crowd dynamics," PloS one, vol. 5, no. 4, p. e10047, 2010.

M. Schultz, C. Schulz, and H. Fricke, "Passenger dynamics at airport terminal environment," in Pedestrian and Evacuation Dynamics 2008: Springer, 2010, pp. 381-396.

F. Zanlungo, D. Brščić, and T. Kanda, "Spatial-size scaling of pedestrian groups under growing density conditions," Physical Review E, vol. 91, no. 6, p. 062810, 2015.

X. Li, S. Xiong, P. Duan, S. Zheng, B. Li, and M. Liu, "A study on the dynamic spatial-temporal trajectory features of pedestrian small group," in Dependable Computing and Internet of Things (DCIT), 2015 2nd International Symposium on, 2015, pp. 112-116: IEEE.

A. Gorrini, S. Bandini, and M. Sarvi, "Group dynamics in pedestrian crowds: Estimating proxemic behavior," Transportation Research Record: Journal of the Transportation Research Board, no. 2421, pp. 51-56, 2014.

A. Gorrini, S. Bandini, and G. Vizzari, "Empirical investigation on pedestrian crowd dynamics and grouping," in Traffic and Granular Flow'13: Springer, 2015, pp. 83-91.

P. Zhao, L. Sun, L. Cui, W. Luo, and Y. Ding, "The walking behaviours of pedestrian social group in the corridor of subway station," in Proceedings of the 2016 Pedestrian and Evacuation Dynamics Conference, 2016.

J. Wagnild and C. M. Wall-Scheffler, "Energetic consequences of human sociality: walking speed choices among friendly dyads," PloS one, vol. 8, no. 10, p. e76576, 2013.

J. R. Dyer et al., "Consensus decision making in human crowds," vol. 75, no. 2, pp. 461-470, 2008.

M. Boltes, A. Seyfried, B. Steffen, and A. Schadschneider, "Automatic extraction of pedestrian trajectories from video recordings," in Pedestrian and Evacuation Dynamics 2008: Springer, 2010, pp. 43-54.

Y. Guy, "Pedestrian route choice in central Jerusalem," Department of Geography, Ben-Gurion University of The Negev, Beer Sheva (in Hebrew), 1987.

P. Seneviratne and J. Morrall, "Analysis of factors affecting the choice of route of pedestrians," Transportation Planning and Technology, vol. 10, no. 2, pp. 147-159, 1985.




DOI: http://dx.doi.org/10.17815/CD.2020.67

Copyright (c) 2020 Yanghui Hu, Jun Zhang, Weiguo Song

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.