Room evacuation in the presence of an obstacle

The investigation of human behaviour while trying to escape from a room under panic is an important issue in complex systems research. Several authors have called attention to the fact that placing an obstacle near the exit improves the evacuation time of the room (Helbing et al. (2000, 2005) [2,8],...

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Autor principal: Frank, Guillermo Alberto
Otros Autores: Dorso, Claudio Oscar
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 2011
Acceso en línea:Registro en Scopus
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245 1 0 |a Room evacuation in the presence of an obstacle 
260 |c 2011 
270 1 0 |m Dorso, C. O.; Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina; email: codorso@df.uba.ar 
504 |a Cheng, W.G., Lo, S., Fang, Z., Cheng, C., A view on the means of fire prevention of ancient Chinese buildingsfrom religious belief to practice (2004) Structural Survey, 22, pp. 201-209 
504 |a Helbing, D., Farkas, I., Vicsek, T., Simulating dynamical features of escape panic (2000) Nature, 407, pp. 487-490 
504 |a Daoliang, Z., Lizhong, Y., Jian, L., Exit dynamics of occupant evacuation in an emergency (2006) Physica A: Statistical Mechanics and its Applications, 363 (2), pp. 501-511. , DOI 10.1016/j.physa.2005.08.012, PII S0378437105008447 
504 |a Shaobo, L., Lizhong, Y., Tingyong, F., Jian, L., Evacuation from a classroom considering the occupant density around exits (2009) Physica A, 388, pp. 1921-1928 
504 |a Piccoli, B., Tosin, A., Pedestrian flows in bounded domains with obstacles (2009) Continuum Mechanics and Thermodynamics, 21, pp. 85-107 
504 |a Hughes, R.L., The flow of human crowds (2003) Annual Review of Fluid Mechanics, 35, pp. 169-182. , DOI 10.1146/annurev.fluid.35.101101.161136 
504 |a Parisi, D.R., Dorso, C.O., Morphological and dynamical aspects of the room evacuation process (2007) Physica A: Statistical Mechanics and its Applications, 385 (1), pp. 343-355. , DOI 10.1016/j.physa.2007.06.033, PII S0378437107007200 
504 |a Helbing, D., Buzna, L., Johansson, A., Werner, T., Self-organized pedestrian crowd dynamics: Experiments, simulations, and design solutions (2005) Transportation Science, 39 (1), pp. 1-24. , DOI 10.1287/trsc.1040.0108 
504 |a Kirchner, A., Nishinari, K., Schadschneider, A., Friction effects and clogging in a cellular automaton model for pedestrian dynamics (2003) Physical Review e, 67, p. 056122 
504 |a Escobar, R., Rosa, A.D.L., (2003) Architectural Design for the Survival Optimization of Panicking Fleeing Victims, , Springer-Verlag Berlin, Heidelberg 
504 |a Alonso-Marroquin, F., Azeezullah, S., Galindo-Torres, S., Olsen-Kettle, L., Bottlenecks in Granular Flow: When Does An Obstacle Increase the Flow Rate in An Hourglass?, , http://www.uq.edu.au~uqlkett1/, (lastvisitFebruary2011) 
504 |a Yanagisawa, D., Kimura, A., Tomoeda, A., Nishi, R., Suma, Y., Ohtsuka, K., Nishinari, K., Introduction of frictional and turning function for pedestrian outflow with an obstacle (2009) Physical Review e, 80, p. 036110 
504 |a Helbing, D., Molnr, P., Social force model for pedestrian dynamics (1995) Physical Review e, 51, pp. 4282-4286 
504 |a Parisi, D.R., Dorso, C.O., Microscopic dynamics of pedestrian evacuation (2005) Physica A: Statistical Mechanics and its Applications, 354 (1-4), pp. 606-618. , DOI 10.1016/j.physa.2005.02.040, PII S0378437105002013 
504 |a Mysen, M., Berntsen, S., Nafstad, P., Schild, P.G., Occupancy density and benefits of demand-controlled ventilation in Norwegian primary schools (2005) Energy and Buildings, 37 (12), pp. 1234-1240. , DOI 10.1016/j.enbuild.2005.01.003, PII S037877880500040X 
504 |a Johansson, A., Helbing, D., (2005) Pedestrian Flow Optimization with A Genetic Algorithm Based on Boolean Grids, , Springer-Verlag Heidelberg 
506 |2 openaire  |e Política editorial 
520 3 |a The investigation of human behaviour while trying to escape from a room under panic is an important issue in complex systems research. Several authors have called attention to the fact that placing an obstacle near the exit improves the evacuation time of the room (Helbing et al. (2000, 2005) [2,8], Hughes (2003) [6], Johansson and Helbing (2005) [16], Piccoli and Tosin (2009) [5]). We studied this effect in the context of the "social force model" (Helbing et al. (2000) [2]). We show that placing an obstacle does not guarantee, by itself, better chances of survival for all pedestrians. The way they choose to avoid the obstacle is critical for their own performance. We found not only that the faster they try to escape, the slower they get out ("faster is slower" effect), but also, the short cut they might take in order to get to the exit will probably do no better ("clever is not always better" effect). © 2011 Elsevier B.V. All rights reserved.  |l eng 
593 |a Departamento de Fsica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina 
690 1 0 |a CLOGGING DELAY 
690 1 0 |a PANIC EVACUATION 
690 1 0 |a SOCIAL FORCE MODEL 
690 1 0 |a CLOGGING DELAY 
690 1 0 |a COMPLEX SYSTEMS 
690 1 0 |a EVACUATION TIME 
690 1 0 |a PANIC EVACUATION 
690 1 0 |a SOCIAL FORCE MODEL 
690 1 0 |a SOCIAL FORCE MODELS 
690 1 0 |a BEHAVIORAL RESEARCH 
700 1 |a Dorso, Claudio Oscar 
773 0 |d 2011  |g v. 390  |h pp. 2135-2145  |k n. 11  |p Phys A Stat Mech Appl  |x 03784371  |w (AR-BaUEN)CENRE-280  |t Physica A: Statistical Mechanics and its Applications 
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