Group Dynamics in Pedestrian Crowds

Recent crowd disasters highlight the importance of properly planning and designing large urban events and public spaces to enhance the safety of people in a crowd during evacuations. Pedestrian crowd dynamics are empirically investigated with an interdisciplinary approach (i.e., social sciences, computer science, and traffic engineering) focusing on the effect of groups and their proxemic behavior and interactions while walking. Empirical evidence achieved from urban in-field observations and laboratory experiments are presented and compared. Results indicate that the proxemic behavior of walking groups has a negative effect on walking speed when flow is irregular (primarily because of the need for members to maintain spatial cohesion during locomotion). These results have important implications for the design of common metrics to characterize spatial interactions among pedestrians and for the validation of models to replicate crowd dynamics that consider the effects of groups under normal and emergency conditions.

[1]  Lubos Buzna,et al.  Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions , 2005, Transp. Sci..

[2]  E. Hall,et al.  The Hidden Dimension , 1970 .

[3]  Nagui M. Rouphail,et al.  Quality of Service for Interrupted-Flow Pedestrian Facilities in Highway Capacity Manual 2000 , 1999 .

[4]  A. Mawson,et al.  Mass Panic and Social Attachment: The Dynamics of Human Behavior , 2012 .

[5]  D. Helbing,et al.  The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics , 2010, PloS one.

[6]  John J. Fruin,et al.  Pedestrian planning and design , 1971 .

[7]  Wolfram Klein,et al.  On modelling the influence of group formations in a crowd , 2011 .

[8]  Stefania Bandini,et al.  An Empirical Study of Crowd and Pedestrian Dynamics: the Impact of Different Angle Paths and Grouping , 2013 .

[9]  Majid Sarvi,et al.  Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions , 2011 .

[10]  Nirajan Shiwakoti,et al.  Enhancing the panic escape of crowd through architectural design , 2013 .

[11]  S. Reicher,et al.  The Psychology of Crowd Dynamics , 2008 .

[12]  Nirajan Shiwakoti,et al.  Biologically Inspired Modeling Approach for Collective Pedestrian Dynamics under Emergency Conditions , 2010 .

[13]  G. L. Bon,et al.  Scientific Literature: The Crowd. A Study of the Popular Mind , 1897 .

[14]  Stefania Bandini,et al.  Modeling, Simulating, and Visualizing Crowd Dynamics with Computational Tools Based on Situated Cellular Agents , 2009 .

[15]  Nirajan Shiwakoti,et al.  Consequence of Turning Movements in Pedestrian Crowds during Emergency Egress , 2011 .

[16]  Marco Costa,et al.  Interpersonal Distances in Group Walking , 2010 .

[17]  Serge P. Hoogendoorn,et al.  Microscopic calibration and validation of pedestrian models — Cross-comparison of models using experimental data , 2007 .

[18]  Charitha Dias,et al.  Turning Angle Effect on Emergency Egress: Experimental Evidence and Pedestrian Crowd Simulation , 2012 .

[19]  Stefania Bandini,et al.  Towards an Integrated Approach to Crowd Analysis and Crowd Synthesis: a Case Study and First Results , 2013, Pattern Recognit. Lett..

[20]  E. S. Knowles,et al.  Boundaries around group interaction: the effect of group size and member status on boundary permeability. , 1973, Journal of personality and social psychology.

[21]  Takamasa Iryo,et al.  A Pedestrian Model Considering Anticipatory Behaviour for Capacity Evaluation , 2009 .

[22]  Lorenza Manenti,et al.  Data Collection for Modeling and Simulation: Case Study at the University of Milan-Bicocca , 2012, ACRI.

[23]  J. Sime.  Crowd psychology and engineering , 1995 .