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Risk of large-scale evacuation based on the effectiveness of rescue strategies under different crowd densities

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<title>Risk of large-scale evacuation based on the effectiveness of rescue strategies under different crowd densities</title>
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<dateIssued encoding="marc">2013</dateIssued>
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<abstract displayLabel="Summary">Crowd density is a key factor that influences the moving characteristics of a large group of people during a large-scale evacuation. In this article, the macro features of crowd flow and subsequent rescue strategies were considered, and a series of characteristic crowd densities that affect large-scale people movement, as well as the maximum bearing density when the crowd is extremely congested, were analyzed. On the basis of characteristic crowd densities, the queuing theory was applied to simulate crowd movement. Accordingly, the moving characteristics of the crowd and the effects of typical crowd densitywhich is viewed as the representation of the crowd's arrival intensity in front of the evacuation passagewayson rescue strategies was studied. Furthermore, a risk axle of crowd density is proposed to determine the efficiency of rescue strategies in a large-scale evacuation, i.e., whether the rescue strategies are able to effectively maintain or improve evacuation efficiency. Finally, through some rational hypotheses for the value of evacuation risk, a three-dimensional distribution of the evacuation risk is established to illustrate the risk axle of crowd density. This work aims to make some macro, but original, analysis on the risk of large-scale crowd evacuation from the perspective of the efficiency of rescue strategies.</abstract>
<note type="statement of responsibility">Jinghong Wang...[et.al]</note>
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<title>Risk analysis : an international journal</title>
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<publisher>McLean, Virginia : Society for Risk Analysis, 1987-2015</publisher>
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<identifier type="issn">0272-4332</identifier>
<identifier type="local">MAP20077000345</identifier>
<part>
<text>05/08/2013 Volumen 33 Número 8 - agosto 2013 </text>
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