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Resilience of human mobility under the influence of typhoons

机译:在台风影响下的人类流动性

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Climate change has intensified tropical cyclones, resulting in several recent catastrophic hurricanes and typhoons. Such disasters impose threats on populous coastal urban areas, and therefore, understanding and predicting human movements plays a critical role in evaluating vulnerability and resilience of human society and developing plans for disaster evacuation, response and relief. Despite its critical role, limited research has focused on tropical cyclones and their influence on human mobility. Here, we studied how severe tropical storms could influence human mobility patterns in coastal urban populations using individuals' movement data collected from Twitter. We selected 5 significant tropical storms and examined their influences on 8 urban areas. We analyzed the human movement data before, during, and after each event, comparing the perturbed movement data to movement data from steady states. We also used different statistical analysis approaches to quantify the strength and duration of human mobility perturbation. The results suggest that tropical cyclones can significantly perturb human movements, and human mobility experienced different magnitudes in different cases. We also found that power-law still governed human movements in spiteof theperturbations. The findings from this study will deepen our understanding about the interaction between urban dwellers and civil infrastructure, improve our ability to predict human movements during natural disasters, and help policymakers to improve disaster evacuation, response and relief plans.
机译:气候变化加剧了热带气旋,导致最近灾难性的飓风和台风。这种灾难对人口沿海城市地区施加了威胁,因此,了解和预测人类运动在评估人类社会的脆弱性和恢复力以及发展灾害疏散,响应和救济方案方面发挥着关键作用。尽管其关键作用,但有限的研究专注于热带旋风和对人类流动的影响。在这里,我们研究了使用从Twitter收集的个人的运动数据来影响沿海城市群体中的人类流动模式的严重暴风雨。我们选择了5个重要的热带风暴,并检查了8个城市地区的影响。我们之前,期间和在每个事件之后分析了人类移动数据,将扰动的移动数据与稳态状态的移动数据进行比较。我们还使用不同的统计分析方法来量化人类流动性扰动的强度和持续时间。结果表明,热带气旋可以显着扰乱人类运动,人类流动性在不同情况下经历了不同的大小。我们还发现,职权法仍然受到Heviteof的人类运动。本研究的调查结果将深化我们对城市居民与民事基础设施之间的互动的理解,提高我们在自然灾害期间预测人类运动的能力,并帮助政策制定者改善灾害疏散,反应和救济计划。

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