01662693

Component

Mobility is a fundamental requirement of human life with significant societal impacts including productivity, economy, social wellbeing, adaptation to a changing climate and so on. Although it is found that human mobility follows specific patterns during normal periods, little is known about how mobility responds or adapts during extreme events. Recent studies have found that during extreme events mobility follows similar patterns as it does in normal periods. However, to fully understand the impacts of extreme events to human mobility, the authors need to define and quantify mobility resilience. Previous mobility studies did not measure recovery time and deviation from a steady state- two most important parameters for measuring resilience in response to an extreme event. In this paper, the authors present a simple method that can detect extreme events from mobility data and measure recovery time and deviation from a steady state estimating resilience and loss of resilience due to those events. Applying this method, the authors measure resilience metrics from geo-located social media data for multiple types of disasters. Quantifying resilience in human mobility has a significant importance towards understanding the impact of extreme events for human life and mobility infrastructures as well as a nation’s overall disaster resilience.

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

18-03801

English

7p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References

Climate change; Data mining; Disaster resilience; Disasters; Metrics (Quantitative assessment); Mobility; Social media; Weather conditions

Extreme events; Geolocation

Data and Information Technology; Passenger Transportation; Security and Emergencies

Transportation Research Board Annual Meeting 2018 Paper #18-03801

TRIS, TRB, ATRI

Jan 8 2018 10:57AM