Patterns and limitations of urban human mobility resilience under the influence of multiple types of natural disaster

Natural disasters pose serious threats to large urban areas, therefore understanding and predicting human movements is critical for evaluating a population’s vulnerability and resilience and developing plans for disaster evacuation, response and relief. However, only limited research has been conducted into the effect of natural disasters on human mobility. This study examines how natural disasters influence human mobility patterns in urban populations using individuals’ movement data collected from Twitter. We selected fifteen destructive cases across five types of natural disaster and analyzed the human movement data before, during, and after each event, comparing the perturbed and steady state movement data. The results suggest that the power-law can describe human mobility in most cases and that human mobility patterns observed in steady states are often correlated with those in perturbed states, highlighting their inherent resilience. However, the quantitative analysis shows that t...自然灾害对大型城市区域构成严重威胁，因此理解并预测人类移动模式，对于评估人群的脆弱性与恢复力、制定灾害疏散、应急响应及灾后救助方案至关重要。然而，目前针对自然灾害对人类流动性影响的相关研究仍较为有限。本研究借助从Twitter平台采集的个体移动数据，探究自然灾害如何影响城市人群的人类移动模式。本研究选取覆盖5类自然灾害的15起破坏性灾害事件，对每起事件发生前、发生期间及发生后的人类移动数据展开分析，并对比扰动状态与稳态下的移动数据。研究结果显示，在多数场景下可通过幂律（power-law）描述人类流动性；且稳态下观测到的人类移动模式，往往与扰动状态下的移动模式存在关联，这凸显了人群固有的恢复力。然而，定量分析结果显示……