Granulometric Distribution and Crowds of Groups: Focusing on Dyads

Pedestrian flows are characterised by the preponderant presence of groups, with particular reference to dyads. The paper presents a research focused on group and age-driven pedestrian behaviour in an urban crowded scenario. Data analysis was performed by using an open source tracker tool. Results showed that in situation of irregular flows (LOS B) dyads walked 30 % slower than singles, and that elderly walked 40 % slower than adults. The achieved results have been used towards the validation of the simulation platform ELIAS 38, with reference to the representation of the granulometric distribution of groups and heterogeneous speed profiles.

[1]  J. Kerridge,et al.  Human Movement Behaviour in Urban Spaces: Implications for the Design and Modelling of Effective Pedestrian Environments , 2004 .

[2]  Lorenza Manenti,et al.  An Innovative Scenario for Pedestrian Data Collection: The Observation of an Admission Test at the University of Milano-Bicocca , 2014 .

[3]  Andrew Philippides,et al.  From Mindless Masses to Small Groups: Conceptualizing Collective Behavior in Crowd Modeling , 2015, Review of general psychology : journal of Division 1, of the American Psychological Association.

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

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

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

[7]  Stefania Bandini,et al.  Modelling negative interactions among pedestrians in high density situations , 2014 .

[8]  Stefania Bandini,et al.  Empirical Investigation on Pedestrian Crowd Dynamics and Grouping , 2015 .

[9]  Iris Ruther Winogrond,et al.  A Comparison of Interpersonal Distancing Behavior in Young and Elderly Adults , 1981, International journal of aging & human development.

[10]  Margaret J. Weber,et al.  Influence of Sensory Abilities on the Interpersonal Distance of the Elderly , 2003 .

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

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

[13]  Stefania Bandini,et al.  Mobility analysis of the aged pedestrians by experiment and simulation , 2014, Pattern Recognit. Lett..

[14]  Michael Schultz,et al.  Passenger Dynamics at Airport Terminal Environment , 2010 .

[15]  J. Burgess.  The social biology of human populations: Spontaneous group formation conforms to evolutionary predictions of adaptive aggregation patterns , 1989 .