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Exploring Determinants of Pre-movement Delays in a Virtual Crowd Evacuation Experiment

机译:在虚拟人群疏散实验中探索行进延迟的决定因素

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Understanding evacuations of high-occupancy buildings presents a major challenge in fire safety science. The total time individuals require to exit a building includes the time it takes them to respond to an alarm and decide to evacuate (pre-movement) and the time it takes them to walk along their chosen exit route (movement). Previous work has shown that variation in pre-movement times is responsible for substantial evacuation delays, but few controlled experiments on this have been conducted. Here, we present a virtual experiment that investigates the level of risk individuals take by collecting virtual objects before evacuating. We determine how over 1200 participants, who were recruited from visitors to the London Science Museum, respond to three factors: a reduction in their knowledge of a building, a change in the behaviour of other simulated evacuees and a change in how they are attached to the objects they can collect (potential gain versus loss). We confirm that collecting more objects is risky, as it affects evacuation success. In our experiment, 44.6% of participants choose extreme strategies by collecting either all or none of the available objects before evacuating. While the adoption of extreme strategies is affected by all three factors we investigate, the only factor that significantly increases the average number of objects participants collect, regardless of extreme strategies, is loss aversion. Our work shows the potential of virtual experiments to safely, quickly and cheaply scope processes causing pre-movement time delays in crowd evacuations. This provides a starting point for further research.
机译:了解高占用率建筑物的疏散对消防安全科学提出了重大挑战。个人需要离开建筑物的总时间包括他们响应警报并决定撤离(预先移动)所花费的时间,以及他们沿着所选出口路线行走(所要花费的时间)的时间。先前的工作表明,出行时间的变化是造成疏散延误的主要原因,但是对此进行的控制实验却很少。在这里,我们提出了一个虚拟实验,通过在撤离前收集虚拟物体来调查个人承担的风险水平。我们确定了从伦敦科学博物馆参观者中招募的1200多名参与者如何回应三个因素:他们对建筑物的了解减少,其他模拟撤离人员的行为发生变化以及他们与建筑物的依附方式发生变化他们可以收集的对象(潜在收益与损失)。我们确认收集更多物体是有风险的,因为这会影响疏散成功。在我们的实验中,有44.6%的参与者通过在撤离前收集所有可用物体或不收集任何可用物体来选择极端策略。尽管我们研究的所有三个因素都会影响极端策略的采用,但无论极端策略如何,唯一能够显着增加参与者收集的平均对象数量的因素就是损失规避。我们的工作显示了虚拟实验在安全,快速和廉价地确定流程范围,导致人群撤离前移动时间延迟方面的潜力。这为进一步研究提供了起点。

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