Quantifying human mobility resilience to extreme events using geo-located social media data

• Main Authors: Roy, Kamol Chandra (Author), Cebrian, Manuel (Author), Hasan, Samiul (Author)
• Other Authors: Massachusetts Institute of Technology. Media Laboratory (Contributor)
• Format: Article
• Language: English
• Published: Springer Science and Business Media LLC, 2020-07-30T01:40:35Z.
• Subjects: Article
• Online Access: Get fulltext

 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.