The Role of Herding Behaviour in Exit Choice During Evacuation

Modelling of human behaviour during emergencies is an important issue to be investigated to improve the safety of transportation infrastructures. This behaviour can be influenced by both the environment (i.e. social influences) and characteristics of the users of infrastructures. The main aim of this paper is to investigate the social influences that push a user to manifest a herding behaviour during evacuations. A behavioural model based on discrete choice models is proposed by using data collected through an on-line survey. This approach is able to highlight the heterogenic tastes of decision makers that may influence this choice in exit behaviour. The results show that decision makers are influenced by both people close to the exit and their socio-economic characteristic.

[1]  Ruggiero Lovreglio,et al.  A discrete choice model based on random utilities for exit choice in emergency evacuations , 2014 .

[2]  Gianluca Antonini,et al.  A discrete choice modeling framework for pedestrian walking behavior with application to human tracking in video sequences , 2005 .

[3]  J. Sime Movement toward the Familiar , 1985 .

[4]  Xiaoshan Pan,et al.  Computational modeling of human and social behaviors for emergency egress analysis , 2006 .

[5]  Timo Korhonen FDS+EVAC EVACUATION MODEL: RECENT DEVELOPMENTS , 2011 .

[6]  Kincho H. Law,et al.  A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations , 2007, AI & SOCIETY.

[7]  Erica D. Kuligowski,et al.  Predicting Human Behavior During Fires , 2013 .

[8]  Xiaoping Zheng,et al.  Modeling crowd evacuation of a building based on seven methodological approaches , 2009 .

[9]  Gary Klein,et al.  Sources of Power: How People Make Decisions , 2017 .

[10]  Garnet A. McLean,et al.  AIRCRAFT EVACUATIONS ONTO ESCAPE SLIDES AND PLATFORMS I: EFFECTS OF PASSENGER MOTIVATION , 1996 .

[11]  Evacuation Dynamics,et al.  Pedestrian and evacuation dynamics 2005 , 2007 .

[12]  Michael Schreckenberg,et al.  Pedestrian and evacuation dynamics , 2002 .

[13]  David Purser,et al.  ASET And RSET: Addressing Some Issues In Relation To Occupant Behaviour And Tenability , 2003 .

[14]  Enrico Ronchi,et al.  A Method for the Analysis of Behavioural Uncertainty in Evacuation Modelling , 2014 .

[15]  Daniel Nilsson,et al.  Fire Evacuation in Underground Transportation Systems: A Review of Accidents and Empirical Research , 2013 .

[16]  Caesar Saloma,et al.  Herding in Real Escape Panic , 2007 .

[17]  D. Cowan Genomics: Use your neighbour's genes , 2000, Nature.

[18]  Adrian Muntean,et al.  Dynamics of pedestrians in regions with no visibility:a lattice model without exclusion , 2012, 1203.4852.

[19]  Erica D. Kuligowski,et al.  A Review of Building Evacuation Models, 2nd Edition | NIST , 2010 .

[20]  Guo Ren-Yong,et al.  Logit-based exit choice model of evacuation in rooms with internal obstacles and multiple exits , 2010 .

[21]  Jian Ma,et al.  On the Simulation for Rail Tunnel Evacuation with Cross-Passageways , 2014 .

[22]  Michael Schreckenberg,et al.  Pedestrian and Evacuation Dynamics 2012 , 2014 .

[23]  R. Cialdini Influence: The Psychology of Persuasion , 1993 .

[24]  Enrico Ronchi,et al.  The validation of evacuation simulation models through the analysis of behavioural uncertainty , 2014, Reliab. Eng. Syst. Saf..

[25]  Daniel Nilsson,et al.  Exit choice in fire emergencies - Influencing choice of exit with flashing lights , 2009 .

[26]  John M. Rose,et al.  Applied Choice Analysis: A Primer , 2005 .

[27]  Erica D. Kuligowski,et al.  Review of Building Evacuation Models , 2005 .

[28]  C. W. Johnson,et al.  Lessons from the evacuation of the world trade centre, 9/11 2001 for the development of computer-based simulations , 2005, Cognition, Technology & Work.

[29]  Harri Ehtamo,et al.  Pedestrian behavior and exit selection in evacuation of a corridor – An experimental study , 2012 .

[30]  Daniel Nilsson,et al.  Social influence during the initial phase of a fire evacuation—Analysis of evacuation experiments in a cinema theatre , 2009 .

[31]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[32]  Andrew Hutton,et al.  London Bridge: The Role Pedestrian Modelling Played in Designing the New Station , 2014 .

[33]  Florian Heiss,et al.  Discrete Choice Methods with Simulation , 2016 .

[34]  T. Vicsek,et al.  Simulation of pedestrian crowds in normal and evacuation situations , 2002 .

[35]  David J. Low,et al.  Following the crowd , 2000 .

[36]  David H. Krantz,et al.  High Stakes Decision Making: Normative, Descriptive and Prescriptive Considerations , 2002 .

[37]  F Polytechnique,et al.  A Discrete Choice Modeling Framework for Pedestrian Walking Behavior with Application to Human Tracking in Video Sequences , 2005 .

[38]  Edwin R. Galea,et al.  A review of the methodologies used in evacuation modelling , 1999 .

[39]  David V. Canter,et al.  The decision to evacuate: a study of the motivations which contribute to evacuation in the event of fire , 1985 .

[40]  Harri Ehtamo,et al.  Pedestrian and Evacuation Dynamics 2008, Wuppertal, Germany , 2008 .

[41]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.