University of Bristol, Department of Engineering Mathematics, Bristol, BS8 1UB, UK.
University of Bristol, Department of Civil Engineering, Bristol, BS8 1TR, UK.
Nat Commun. 2020 Apr 2;11(1):1629. doi: 10.1038/s41467-020-15405-7.
The challenge of nowcasting the effect of natural hazard events (e.g., earthquakes, floods, hurricanes) on assets, people and society is of primary importance for assessing the ability of such systems to recover from extreme events. Traditional recovery estimates, such as surveys and interviews, are usually costly, time consuming and do not scale. Here we present a methodology to indirectly estimate the post-emergency recovery status (downtime) of small businesses in urban areas looking at their online posting activity on social media. Analysing the time series of posts before and after an event, we quantify the downtime of small businesses for three natural hazard events occurred in Nepal, Puerto Rico and Mexico. A convenient and reliable method for nowcasting the post-emergency recovery status of economic activities could help local governments and decision makers to better target their interventions and distribute the available resources more effectively.
现在预测自然灾害事件(如地震、洪水、飓风)对资产、人员和社会的影响具有重要意义,这对于评估这些系统从极端事件中恢复的能力至关重要。传统的恢复估计方法,如调查和访谈,通常成本高、耗时且不具有可扩展性。在这里,我们提出了一种方法,通过分析社交媒体上的在线发布活动,间接估计城市地区小企业在紧急情况后的恢复状态(停机时间)。通过分析事件前后的时间序列,我们量化了尼泊尔、波多黎各和墨西哥发生的三次自然灾害事件中小企业的停机时间。这种方便可靠的方法可以用于预测紧急情况后经济活动的恢复状态,从而帮助地方政府和决策者更好地定位干预措施,并更有效地分配可用资源。