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A MULTI-AGENT SYSTEM APPROACH IN EVALUATING HUMAN SPATIO-TEMPORAL VULNERABILITY TO SEISMIC RISK USING SOCIAL ATTACHMENT

机译:利用社会联系评估人的时空易损性的多代理系统方法

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摘要

The theory of social attachment states that individuals seek the proximity of attachment figures (e.g. family members, friends, colleagues, familiar places or objects) when faced with threat. During disasters, this means that family members may seek each other before evacuating, gather personal property before heading to familiar exits and places, or follow groups/crowds, etc. This hard-wired human tendency should be considered in the assessment of risk and the formulation of disaster management plans. Doing so may result in more realistic evacuation procedures and may minimise the number of casualties and injuries. In this context, a dynamic spatio-temporal analysis of seismic risk is presented here using SOLACE, a multi-agent model of pedestrian behaviour based on the theory of social attachment applied using the Belief-Desire-Intention approach. The model focuses on the influence of human, social, physical and temporal factors on successful evacuation. Human factors considered include perception and mobility defined by age. Social factors are defined by attachment bonds, social groups, population distribution, and cultural norms. Physical factors refer to the location of the epicentre of the earthquake, the spatial distribution/layout and attributes of environmental objects such as buildings, roads, barriers (cars), placement of safe areas, evacuation routes, and the resulting debris/damage from the earthquake. Experiments tested the influence of time of the day, the presence of disabled persons and earthquake intensity. Initial results show that factors that influence arrivals in safe areas include (a) human factors (age, disability, speed), (b) pre-evacuation behaviours, (c) perception distance (social attachment, time of day), (d) social interaction during evacuation, and (e) physical and spatial aspects, such as limitations imposed by debris (damage), and the distance to safe areas. To validate the results, scenarios have to be designed with stakeholders, who would also take part in the definition of a serious game. The recommendation of this research is that both social and physical aspects must be considered when defining vulnerability in risk analysis.
机译:社会依恋理论指出,个人在面临威胁时会寻求与依恋人物(例如家庭成员,朋友,同事,熟悉的地方或物体)接近。在灾难期间,这意味着家庭成员可能会在撤离之前互相寻求帮助,在前往熟悉的出口和地点之前会收集个人财产,或者跟随群体/人群等。在评估风险和制定灾害管理计划。这样做可能会导致更现实的疏散程​​序,并使伤亡和受伤人数降至最低。在这种情况下,这里使用SOLACE提出了对地震风险的动态时空分析,SOLACE是一种行人行为的多智能体模型,该模型基于使用信仰-愿望-意图方法的社会依恋理论。该模型着重于人,社会,身体和时间因素对成功疏散的影响。考虑的人为因素包括根据年龄定义的知觉和活动能力。社会因素由依恋纽带,社会群体,人口分布和文化规范定义。物理因素是指地震震中的位置,空间分布/布局以及环境对象的属性,例如建筑物,道路,障碍物(汽车),安全区域的位置,疏散路线以及由此产生的碎片/破坏。地震。实验测试了一天中的时间,残障人士和地震烈度的影响。初步结果表明,影响到达安全区域的因素包括:(a)人为因素(年龄,残疾,速度),(b)撤离前的行为,(c)感知距离(社交依恋,一天中的时间),(d)疏散期间的社交互动,以及(e)物理和空间方面,例如杂物(损坏)施加的限制以及到安全区域的距离。为了验证结果,必须与利益相关者一起设计场景,他们也将参与严肃游戏的定义。这项研究的建议是,在定义风险分析的脆弱性时,必须同时考虑社会和自然方面。

著录项

  • 来源
    《Risk analysis XI》|2018年|47-58|共12页
  • 会议地点 Seville(ES)
  • 作者单位

    Laboratoire d'Informatique de Grenoble (LIG), France,Politiques publiques, Action politique, Territoires (PACTE), France,University Grenoble-Alps, France;

    Laboratoire d'Informatique de Grenoble (LIG), France,University Grenoble-Alps, France;

    Politiques publiques, Action politique, Territoires (PACTE), France,University Grenoble-Alps, France;

    Laboratoire d'Informatique de Grenoble (LIG), France,University Grenoble-Alps, France;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    agent-based social simulation; seismic crisis; social attachment; belief-desire-intention;

    机译:基于主体的社会模拟;地震危机社会依恋;信念-愿望-意图;
  • 入库时间 2022-08-26 14:32:17

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