Mobility is one of the fundamental requirements of human life with significant societal impacts including productivity, economy, social wellbeing, adaptation to a changing climate, and so on. Although human movements follow specific patterns during normal periods, there are limited studies on how such patterns change due to extreme events. To quantify the impacts of an extreme event to human movements, we introduce the concept of mobility resilience which is defined as the ability of a mobility system to manage shocks and return to a steady state in response to an extreme event. We present a method to detect extreme events from geo-located movement data and to measure mobility resilience and transient loss of resilience due to those events. Applying this method, we measure resilience metrics from geo-located social media data for multiple types of disasters occurred all over the world. Quantifying mobility resilience may help us to assess the higher-order socio-economic impacts of extreme events and guide policies towards developing resilient infrastructures as well as a nation’s overall disaster resilience strategies.

中文翻译：

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使用地理定位的社交媒体数据量化人类机动性对极端事件的抵御能力

流动性是人类生活的基本要求之一，具有重大的社会影响，包括生产力，经济，社会福祉，适应气候变化等。尽管人类运动在正常时期遵循特定的模式，但是关于这种模式如何由于极端事件而改变的研究还很有限。为了量化极端事件对人体运动的影响，我们引入了移动弹性的概念，该概念被定义为移动系统应对极端事件管理冲击并恢复到稳定状态的能力。我们提出了一种方法，可以从地理位置的移动数据中检测极端事件，并测量由于这些事件造成的移动弹性和弹性的瞬时损失。应用这种方法，我们从地理定位的社交媒体数据中衡量在全球范围内发生的多种灾难的复原力指标。量化交通抵御能力可以帮助我们评估极端事件对社会经济的更高影响，并指导政策以发展抵御灾害的基础设施以及一个国家的整体灾害抵御能力战略。