Escape Dynamics in Office Buildings: Using Molecular Dynamics to Quantify the Impact of Certain Aspects of Human Behavior During Emergency Evacuation

Emergency evacuation of office buildings, in the event of a life-threatening situation such as a fire incident, is a function of various factors ranging from architectural to socio-behavioral ones. We show how individual-based modeling approaches such as molecular dynamics can be coupled with behavioral responses in panic situations, in order to quantify in a systematic way the impact of human familiarity to the space, during emergency evacuation. The ultimate goal is to identify certain crucial design features that can help in engineering better evacuation plans.

[1]  Jin-Hyoung Park,et al.  Establishing the methodologies for human evacuation simulation in marine accidents , 2004, Comput. Ind. Eng..

[2]  M. Dehne,et al.  Design of Escape Routes by Simulating Evacuation Dynamics in Conjunction with a Probabilistic Safety Concept , 2007 .

[3]  Norris R. Johnson,et al.  Crowd Behavior as "Risky Shift": A Laboratory Experiment , 1977 .

[4]  G. Christiansen,et al.  A mesoscopic model for passenger evacuation in a virtual ship-sea environment and performance-based evaluation , 2002 .

[5]  P. I. Richards.  Shock Waves on the Highway , 1956 .

[6]  Gülen Çağdaş,et al.  A Simulation Model to Predict the Emptying Times of Buildings , 1995 .

[7]  William E. Feinberg,et al.  FIRESCAP: A computer simulation model of reaction to a fire alarm , 1995 .

[8]  C. Dorso,et al.  Microscopic dynamics of pedestrian evacuation , 2005 .

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

[10]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[11]  Eil Kwon,et al.  Evaluation of Emergency Evacuation Strategies for Downtown Event Traffic Using a Dynamic Network Model , 2005 .

[12]  Jerome M. Chertkoff,et al.  Don't Panic: The Psychology of Emergency Egress and Ingress , 1999 .

[13]  Edwin R. Galea,et al.  A computer-based simulation model for the prediction of evacuation from mass-transport vehicles , 1994 .

[14]  Karen Boyce,et al.  A study of evacuation from large retail stores , 2000 .

[15]  Thiago Tinoco Pires,et al.  An approach for modeling human cognitive behavior in evacuation models , 2005 .

[16]  Robert Herman,et al.  Kinetic theory of vehicular traffic , 1971 .

[17]  Baba,et al.  Cellular Automaton Model for Random Walkers. , 1996, Physical review letters.

[18]  Virginia P Sisiopiku,et al.  Application of Traffic Simulation Modeling for Improved Emergency Preparedness Planning , 2007 .

[19]  Berend Smit,et al.  Understanding molecular simulation: from algorithms to applications , 1996 .

[20]  Edwin R. Galea,et al.  A systematic methodology to assess the impact of human factors in ship design , 2009 .

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

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

[23]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[24]  Håkan Frantzich,et al.  Managing evacuating people from facilities during a fire emergency , 1999 .

[25]  M J Lighthill,et al.  On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[26]  D. Helbing.  A Mathematical Model for the Behavior of Individuals in a Social Field , 1994, cond-mat/9805194.

[27]  Rolf Skjong,et al.  Designing for Safety in Passenger Ships Utilizing Advanced Evacuation Analyses: A Risk Based Approach , 2006 .

[28]  Kay W. Axhausen,et al.  An Agent-Based Microsimulation Model of Swiss Travel: First Results , 2003 .

[29]  A E Radwan,et al.  COMPUTER SIMULATION MODEL FOR RURAL NETWORK EVACUATION UNDER NATURAL DISASTERS , 1985 .

[30]  Hjp Harry Timmermans,et al.  A Multi-Agent Cellular Automata Model of Pedestrian Movement , 2001 .

[31]  L. F. Henderson.  On the fluid mechanics of human crowd motion , 1974 .

[32]  Warren F. Phillips,et al.  A kinetic model for traffic flow with continuum implications , 1979 .

[33]  T. Nagatani.  The physics of traffic jams , 2002 .

[34]  John M. Watts.  Editorial: Rescuing Truth from Familiarity , 2000 .

[35]  E. Quarantelli.  The Nature and Conditions of Panic , 1954, American Journal of Sociology.

[36]  Hannes Taubenböck,et al.  Emergency Preparedness in the Case of a Tsunami—Evacuation Analysis and Traffic Optimization for the Indonesian City of Padang , 2010 .

[37]  William E. Feinberg,et al.  THE IMPACT OF EXIT INSTRUCTIONS AND NUMBER OF EXITS IN FIRE EMERGENCIES: A COMPUTER SIMULATION INVESTIGATION , 1997 .

[38]  Dirk Helbing,et al.  THEORETICAL FOUNDATION OF MACROSCOPIC TRAFFIC MODELS , 1995 .

[39]  Richard L. Francis,et al.  EVACNET+: A computer program to determine optimal building evacuation plans , 1985 .

[40]  Katsuhiro Nishinari,et al.  Simulation for pedestrian dynamics by real-coded cellular automata (RCA) , 2007 .

[41]  T. Cova,et al.  Microsimulation of Neighborhood Evacuations in the Urban–Wildland Interface , 2002 .

[42]  Hubert Klüpfel,et al.  Evacuation Dynamics: Empirical Results, Modeling and Applications , 2009, Encyclopedia of Complexity and Systems Science.

[43]  Siuming Lo,et al.  An evacuation model: the SGEM package , 2004 .

[44]  Michael Schreckenberg,et al.  Microscopic Simulation of Evacuation Processes on Passenger Ships , 2000, ACRI.

[45]  Eric W. Marchant,et al.  A computer model for the evacuation of large building populations , 1995 .

[46]  Ian Donald.  Engineering for crowd safety: edited by R.A. Smith and J.F. Dickie. Elsevier Science B.V., Amsterdam, 1993, pp. 428 , 1995 .

[47]  Norris R. Johnson,et al.  Panic and the Breakdown of Social Order: Popular Myth, Social Theory, Empirical Evidence , 1987 .

[48]  Victor J. Blue,et al.  Cellular Automata Microsimulation of Bidirectional Pedestrian Flows , 1999 .

[49]  Bo Ren,et al.  Integrated Agent-Based Modeling with GIS for Large Scale Emergency Simulation , 2008, ISICA.

[50]  D. Helbing.  Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

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

[52]  A. Mintz,et al.  Non-adaptive group behavior. , 1951, Journal of abnormal psychology.

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

[54]  Henry Mintzberg,et al.  Opening up Decision Making: The View from the Black Stool , 1995 .

[55]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[56]  V. A. Oven,et al.  Modelling the evacuation of a high-rise office building in Istanbul , 2009 .