Social media usage reveals how regions recover after natural disaster
Robert Eyre, Flavia De Luca, Filippo Simini

TL;DR
This paper introduces a social media-based method to estimate the recovery time of small businesses after natural disasters, providing a scalable alternative to traditional surveys for assessing economic recovery.
Contribution
It presents a novel approach using online posting activity to indirectly measure post-disaster recovery, validated across three different natural disaster events.
Findings
Social media activity correlates with recovery status.
Method accurately estimates downtime of small businesses.
Applicable to various types of natural disasters.
Abstract
The challenge of nowcasting and forecasting the effect of natural disasters (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 disaster 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 disasters 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…
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Taxonomy
TopicsHuman Mobility and Location-Based Analysis · Public Relations and Crisis Communication · Complex Network Analysis Techniques
