A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations Export

@article{citeulike:4079991, abstract = {Abstract\ \ Many computational tools for the simulation and design of emergency evacuation and egress are now available. However, due to the scarcity of human and social behavioral data, these computational tools rely on assumptions that have been found inconsistent or unrealistic. This paper presents a multi-agent based framework for simulating human and social behavior during emergency evacuation. A prototype system has been developed, which is able to demonstrate some emergent behaviors, such as competitive, queuing, and herding behaviors. For illustration, an example application of the system for safe egress design is provided.}, author = {Pan, Xiaoshan and Han, Charles and Dauber, Ken and Law, Kincho}, citeulike-article-id = {4079991}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/s00146-007-0126-1}, citeulike-linkout-1 = {http://www.springerlink.com/content/p260115756537528}, comment = {emphasis: 1due to the scarcity of behavioral data, these tools rely heavily on the assumptions about human individual and social behaviors. 2 数据不好获取，真实性有影响 mong the many factors including overcrowding and evacuation incidents, researchers have come to realize that understanding human and social behavior in emergencies is crucial to improve crowd safety in places of public assembly (Bryan 1997; Fahy et al. 1995; Proulx 2001; Society of Fire Protection Engineering 2002; Galea 2003). It has been reported that there are many inconsistencies and incorrect assumptions of human and crowd behavior embedded in existing simulation systems (Still 2000). As noted by Still (2000), ” the laws of crowd dynamics have to include the fact that people do not follow the laws of physics; they have a choice in their direction, have no conservation of momentum and can stop and start at will.” 3 有人强调： Current emergent systems typically oversimplify the behavioral representation of individuals. 我们强调： 数据真实性。提出评估方法：连接起真实对象系统与模型之间的间隔 Society of Fire Protection Engineers (2002), ” These (computational) models are attractive because they seem to more accurately simulate evacuations. However, due to the scarcity of behavioral data, they tend to rely heavily on assumptions and it is not possible to gauge with confidence their predictive accuracy.” ” the fundamental understanding of the sociological and psychological components of pedestrian and evacuation behaviors is left wanting (Galea 2003).” 我们的应用中， 强调 外界心理压力 自身素质 以及相互影响。}, day = {1}, doi = {10.1007/s00146-007-0126-1}, journal = {AI \& Society}, keywords = {agent, crowd, psychology, simulation}, month = {November}, number = {2}, pages = {113--132}, posted-at = {2009-02-22 17:45:07}, priority = {2}, title = {A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations}, url = {http://dx.doi.org/10.1007/s00146-007-0126-1}, volume = {22}, year = {2007} }

TY - JOUR ID - citeulike:4079991 L3 - citeulike-article-id:4079991 N2 - Abstract  Many computational tools for the simulation and design of emergency evacuation and egress are now available. However, due to the scarcity of human and social behavioral data, these computational tools rely on assumptions that have been found inconsistent or unrealistic. This paper presents a multi-agent based framework for simulating human and social behavior during emergency evacuation. A prototype system has been developed, which is able to demonstrate some emergent behaviors, such as competitive, queuing, and herding behaviors. For illustration, an example application of the system for safe egress design is provided. IS - 2 JF - AI & Society EP - 132 TI - A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations VL - 22 SP - 113 KW - agent KW - crowd KW - psychology KW - simulation N1 - emphasis: 1due to the scarcity of behavioral data, these tools rely heavily on the assumptions about human individual and social behaviors. 2 数据不好获取，真实性有影响 mong the many factors including overcrowding and evacuation incidents, researchers have come to realize that understanding human and social behavior in emergencies is crucial to improve crowd safety in places of public assembly (Bryan 1997; Fahy et al. 1995; Proulx 2001; Society of Fire Protection Engineering 2002; Galea 2003). It has been reported that there are many inconsistencies and incorrect assumptions of human and crowd behavior embedded in existing simulation systems (Still 2000). As noted by Still (2000), “the laws of crowd dynamics have to include the fact that people do not follow the laws of physics; they have a choice in their direction, have no conservation of momentum and can stop and start at will.” 3 有人强调： Current emergent systems typically oversimplify the behavioral representation of individuals. 我们强调： 数据真实性。提出评估方法：连接起真实对象系统与模型之间的间隔 Society of Fire Protection Engineers (2002), “These (computational) models are attractive because they seem to more accurately simulate evacuations. However, due to the scarcity of behavioral data, they tend to rely heavily on assumptions and it is not possible to gauge with confidence their predictive accuracy.” “the fundamental understanding of the sociological and psychological components of pedestrian and evacuation behaviors is left wanting (Galea 2003).” 我们的应用中， 强调 外界心理压力 自身素质 以及相互影响。 AU - Pan, Xiaoshan AU - Han, Charles AU - Dauber, Ken AU - Law, Kincho PY - 2007/11/01/ UR - http://dx.doi.org/10.1007/s00146-007-0126-1 ER -