Abstract
An emergency is a serious, unexpected, and potentially life-threatening situation requiring immediate action. Emergency evacuation is the most critical step to save people’s lives. The purpose of this paper is to provide a review of various factors to investigate human behavior under emergency situations. Computational modeling and simulation as a practical way to replicate human behavior change requires quantifying psychological and physical parameters. Previous studies on humans and animals, as well as common simulation approaches were reviewed. According to the results of this literature review, future experiments or simulations can consider not only physical parameters such as human dynamics, but also quantifying psychological parameters such as interpersonal relationship, goal-seeking behavior, decision-making differences, and many more.
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References
Alexander, D.E.: Definition of emergency. In: Penuel, K.B., Statler, M., Hagen, R. (eds.) Encyclopedia of Crisis Management, pp. 324–325. SAGE Publications, Thousand Oaks (2013)
Fagel, M.J., Krill, S., Lawrence, M.: Policy and laws relating to emergency management planning. In: Fagel, M.J. (ed.) Crisis Management and Emergency Planning: Preparing for Today’s Challenges, pp. 3–17. CRC Press, Boca Raton (2014)
Guha-Sapir, D., Hoyois, P., Below, R.: Annual Disaster Statistical Review 2015: The Numbers and Trends. CRED, Brussels (2016)
Cassidy, T.: Problem-solving style, achievement motivation, psychological distress and response to a simulated emergency. Couns. Psychol. Q. 15, 325–332 (2002)
States Department of Labor. https://www.osha.gov/SLTC/etools/evacuation/evaluate.html
Van de Walle, B., Turoff, M.: Decision support for emergency situations. Inf. Syst. e-Bus. Manag. 6, 295–316 (2008)
Neria, Y., Nandi, A., Galea, S.: Post-traumatic stress disorder following disasters: a systematic review. Psychol. Med. 38, 467–480 (2008)
Aldag, R.J.: Decision making: a psychological analysis of conflict. Acad. Manag. Rev. 5, 141–143 (1980)
Helbing, D., Farkas, I.J., Molnar, P., Vicsek, T.: Simulation of pedestrian crowds in normal and evacuation situations. In: Schreckenberg, M., Sharma, S.D. (eds.) Pedestrian and Evacuation Dynamics, pp. 21–58. Springer, Berlin (2002)
Pine, J.C.: Natural Hazards Analysis: Reducing the Impact of Disasters. CRC Press, Boca Raton (2009)
Cocking, C., Drury, J., Reicher, S.: The psychology of crowd behaviour in emergency evacuations: results from two interview studies and implications for the fire and rescue services. Irish J. Psychol. 30, 59–73 (2009)
Purser, D.A., Raggio, A.J.T.: Behaviour of crowds when subjected to fire intelligence. Building Research Establishing Report CR 143/95. Building Research Establishment Ltd., Watford (1995)
Purser, D.A., Bensilum, M.: Quantification of escape behavior during experimental evacuations. Building Research Establishment Report CR 30/99. Building Research Establishment Ltd., Watford (1999)
Vorst, H.C.M.: Evacuation models and disaster psychology. Procedia Eng. 3, 15–21 (2010)
Leach, J.: Survival Psychology. Palgrave Macmillan, London (1994)
Purser, D.A., Bensilum, M.: Quantification of behaviour for engineering design standards and escape time calculations. Saf. Sci. 38, 157–182 (2001)
International Organization for Standardization. https://www.iso.org/obp/ui/#iso:std:iso:tr:13387:-8:ed-1:v1:en
Kobes, M., Helsloot, I., de Vries, B., Post, J.G., Oberijé́, N., Groenewegen, K.: Way finding during fire evacuation; an analysis of unannounced fire drills in a hotel at night. Build. Environ. 45, 537–548 (2010)
Sime, J., Breaux, J., Canter, D.: Human Behaviour Patterns in Domestic and Hospital Fires. BRE Report, UK (1994)
Gwynne, S., Galea, E.R., Lawrence, P.J., Filippidis, L.: Modelling occupant interaction with fire conditions using the buildingEXODUS evacuation model. Fire Saf. J. 36, 327–357 (2001)
Ozel, F.: Time pressure and stress as a factor during emergency egress. Saf. Sci. 38, 95–107 (2001)
Knuth, D., Kehl, D., Hulse, L., Schmidt, S.: Perievent distress during fires-the impact of perceived emergency knowledge. J. Environ. Psychol. 34, 10–17 (2013)
Heliovaara, S., Kuusinen, J., Rinne, T., Korhonen, T., Ehtamo, H.: Pedestrian behavior and exit selection in evacuation of a corridor-an experimental study. Saf. Sci. 50, 221–227 (2012)
Mu, H.L., Wang, J.H., Mao, Z.L., Sun, J.H., Lo, S.M., Wang, Q.S.: Pre-evacuation human reactions in fires: an attribution analysis considering psychological process. Procedia Eng. 52, 290–296 (2013)
Yoon, S.W., Velasquez, J.D., Partridge, B.K., Nof, S.Y.: Transportation security decision support system for emergency response: a training prototype. Decis. Support Syst. 46, 139–148 (2008)
Ben Zur, H., Breznitz, J.S.: The effect of time pressure on risky choice behavior. Acta Physiol. 47, 89–104 (1981)
Gantt, P., Gantt, R.: Disaster psychology: dispelling the myths of panic. Prof. Saf. 57(8), 42–49 (2012)
Staw, B.M., Sandelands, L.E., Dutton, J.E.: Threat-rigidity effects in organizational behavior: a multilevel analysis. Adm. Sci. Q. 26, 501–524 (1981)
Rice, R.E.: From adversity to diversity: applications of communication technology to crisis management. Adv. Telecommun. Manag. 3, 91–112 (1990)
Abolghasemzadeh, P.: A comprehensive method for environmentally sensitive and behavioral microscopic egress analysis in case of fire in buildings. Saf. Sci. 59, 1–9 (2013)
Bode, N.W.F., Codling, E.A.: Human exit route choice in virtual crowd evacuations. Anim. Behav. 86, 347–358 (2013)
Turner, R.H., Killian, L.M.: Collective Behaviour. Prentice-Hall, Upper Saddle River (1957)
Kahnemen, D., Tversky, A.: Prospect theory: an analysis of decision under risk. Econometrica 47, 263–292 (1979)
Pan, X., Han, C.S., Dauber, K., Law, K.H.: Human and social behavior in computational modeling and analysis of egress. Autom. Constr. 15, 448–461 (2006)
Tucker, C.W., Schweingruber, D., McPhail, C.: Simulating arcs and rings in gatherings. Int. J. Hum. Comput. Stud. 50, 581–588 (1999)
Aveni, A.F.: The not-so-lonely crowd: friendship groups in collective behavior. Sociometry 48, 96–99 (1977)
McPhail, C.: The Myth of the Madding Crowd. Aldine de Gruyter, Hawthorne (1991)
McPhail, C., Wohlstein, R.T.: Collective locomotion as collective behavior. Am. Sociol. Rev. 51, 447–463 (1986)
Sime, J.D.: Affiliate behaviour during escape to building exits. J. Environ. Psychol. 3, 21–41 (1983)
Nilsson, D., Johansson, A.: Social influence during the initial phase of a fire evacuation - analysis of evacuation experiments in a cinema theatre. Fire Saf. J. 44, 71–79 (2009)
Armfield, J.M.: Cognitive vulnerability: a model of the etiology of fear. Clin. Psychol. Rev. 26, 746–768 (2006)
Zakaria, W., Yusof, U.K.: Modelling crowd behaviour during emergency evacuation: a proposed framework. In: 2016 International Conference on Advanced Informatics: Concepts, Theory And Application (ICAICTA) (2016)
Schneider, B.: The reference model SimPan - agent-based modelling of human behaviour in panic situations. In: Tenth International Conference on Computer Modeling and Simulation (2008)
Helbing, D., Farkas, I., Vicsek, T.: Simulating dynamical features of escape panic. Nature 407, 487–490 (2000)
Hu, Z., Sheu, J., Xiao, L.: Post-disaster evacuation and temporary resettlement considering panic and panic spread. Transp. Res. Part B 69, 112–132 (2014)
Blake, S.J., Galea, E.R., Westeng, H., Dixon, A.J.P.: An analysis of human behavior during the WTC disaster of 11 September 2001 based on published survivor accounts. In: 3rd International Symposium on Human Behavior in Fire, pp. 181–192. InterScience Communications, Belfast (2004)
Aguirre, B.E.: Commentary on “understanding mass panic and other collective responses to threat and disaster”: emergency evacuations, panic, and social psychology. Psychiatry 68, 121–129 (2005)
Bohannon, J.: Directing the herd: crowds and the science of evacuation. Science 310, 219–221 (2005)
Mawson, A.R.: Understanding mass panic and other collective responses to threat and disaster. Psychiatry 68, 95–113 (2005)
Oswald, M., Lebeda, C., Schneider, U., Kirchberger, H.: Full-scale evacuation experiments in a smoke filled rail carriage-a detailed study of passenger behavior under reduced visibility. In: Waldau, N., Gattermann, P., Knoflacher, H., Schreckenberg, M. (eds.) Pedestrian and Evacuation Dynamics. Springer, Heidelberg (2005)
Proulx, G.: Evacuation time. In: SFPE Handbook of Fire Protection Engineering, 4th edn, pp. 3–355. National Fire Protection Association Quincy, MA (2008)
Benight, C.C., Harper, M.L.: Coping self-efficacy perceptions as a mediator between acute stress response and long-term distress following natural disasters. J. Trauma. Stress 15, 177–186 (2002)
Zhan, X., Yang, L., Zhu, K., Kong, X., Rao, P., Zhang, T.: Experimental study of the impact of personality traits on occupant exit choice during building evacuation. Procedia Eng. 62, 548–553 (2013)
Purser, D.A.: Behavioural impairment in smoke environments. Toxicology 115, 25–40 (1996)
Proulx, G., Sime, J.D.: To prevent panic in an underground emergency, why not tell people the truth? Fire Saf. Sci. 3, 843–852 (1991)
Association of State and Territorial Health Officials. http://www.astho.org/Programs/Preparedness/Public-Health-Emergency-Law/Emergency-Authority-and-Immunity-Toolkit/Key-Federal-Laws-and-Policies-Regarding-Emergency-Authority-and-Immunity/
The Guardian. https://www.theguardian.com/business/2006/mar/27/theairlineindustry.travelnews
A380 successful evacuation trial. Aircr. Eng. Aerosp. Technol. 78(4) (2006)
Office for Human Research Protections. http://www.hhs.gov/ohrp/regulations-and-policy/regulations/45-cfr-46/index.html
Penslar, R.: Protecting Human Research Subjects. National Institutes of Health, Washington DC (1933)
Battey, J., Jordan, E., Cox, D., Dove, W.: An action plan for mouse genomics. Nat. Genet. 21, 73–75 (1999)
Wasserman, W.W., Palumbo, M., Thompson, W., Fickett, J.W., Lawrence, C.E.: Human-mouse genome comparisons to locate regulatory sites. Nat. Genet. 26, 225 (2000)
Saloma, C., Perez, G.J., Tapang, G., Lim, M., Palmes-Saloma, C.: Self-organized queuing and scale-free behavior in real escape panic. Natl. Acad. Sci. U.S.A. 100, 11947–11952 (2003)
Lin, P., Ma, J., Liu, T., Ran, T., Si, Y., Li, T.: An experimental study of the “faster-is-slower” effect using mice under panic. Phys. A: Stat. Mech. Appl. 452, 157 (2016)
Shiwakoti, N., Sarvi, M.: Enhancing the panic escape of crowd through architectural design. Transp. Res. Part C 37, 260–267 (2013)
Shiwakoti, N., Sarvi, M., Rose, G., Burd, M.: Animal dynamics based approach for modeling pedestrian crowd egress under panic conditions. Procedia – Soc. Behav. Sci. 17, 438–461 (2011)
Soria, S., Josens, R., Parisi, D.: Experimental evidence of the “faster is slower” effect in the evacuation of ants. Saf. Sci. 50, 1584–1588 (2012)
Parisi, D., Soria, S., Josens, R.: Faster-is-slower effect in escaping ants revisited: ants do not behave like humans. Saf. Sci. 72, 274–282 (2015)
Shi, J., Ren, A., Chen, C.: Agent-based evacuation model of large public buildings under fire conditions. Autom. Constr. 18, 338–347 (2009)
Sharma, S., Singh, H., Prakash, A.: Multi-agent modeling and simulation of human behavior in aircraft evacuation. IEEE Trans. Aerosp. Electron. Syst. 44, 1477–1499 (2008)
Treiber, M., Hennecke, A., Helbing, D.: Derivation, properties, and simulation of a gas-kinetic-based, nonlocal traffic model. Phys. Rev. E 59(1), 239 (1999)
Wei-Guo, S., Yan-Fei, Y., Bing-Hong, W., Wei-Cheng, F.: Evacuation behaviors at exit in ca model with force essentials: a comparison with social force model. Phys. A 371(2), 658–666 (2006)
Li, F., Chen, S., Wang, X., Feng, F.: Pedestrian evacuation modeling and simulation on metro platforms considering panic impacts. Procedia-Soc. Behav. Sci. 138, 314–322 (2014)
Mehran, R., Oyama, A., Shah, M.: Abnormal crowd behavior detection using social force model. In: Computer Vision and Pattern Recognition IEEE Conference, pp. 935–942. IEEE Press, New York (2009)
Zanlungo, F., Ikeda, T., Kanda, T.: Social force model with explicit collision prediction. EPL (Europhy. Lett.) 93(6), 68005 (2011)
Flötteröd, G., Lämmel, G.: Bidirectional pedestrian fundamental diagram. Transp. Res. Part B: Methodol. 71, 194–212 (2015)
Lakoba, T.I., Kaup, D.J., Finkelstein, N.M.: Modifications of the helbing-molnar-farkas-vicsek social force model for pedestrian evolution. Simulation 81, 339–352 (2005)
Bruno, L., Venuti, F.: The pedestrian speed–density relation: modelling and application. In: 3rd Footbridge International Conference (2008)
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Cheng, Y., Liu, D., Chen, J., Namilae, S., Thropp, J., Seong, Y. (2019). Human Behavior Under Emergency and Its Simulation Modeling: A Review. In: Cassenti, D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham. https://doi.org/10.1007/978-3-319-94223-0_30
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