Semester of Graduation

Spring 2019

Degree

Master of Science (MS)

Department

Environmental Science

Document Type

Thesis

Abstract

Disaster Resilience is the capacity of a community to ‘bounce back’ from disastrous events. Most studies rely on traditional data such as census data to study community resilience. With the advent of social media era, the new data source gives us an opportunity to explore the application of Twitter data to better understand disaster resilience. A research question is: does Twitter use correlate with disaster resilience? In other words, will communities with more Twitter users be more resilient to disasters, presumably because they are more likely to be better informed? The underlying issue is that if there are social and geographical disparities in Twitter use patterns, how will such disparities affect communities’ disaster resilience?

This study examined if there is a relationship between Twitter use and community resilience during Hurricane Isaac, which hit Louisiana and Mississippi in August 2012. First, the thesis applied the Resilience Inference Measurement (RIM) model to calculate the resilience indices of 146 counties. Second, Twitter data during the three weeks of Hurricane Isaac were examined to see if there are significant geographical and social disparities in Twitter use through the three main phases of emergency management (Preparedness, Response, Recovery). Third, correlation analyses were conducted to test if twitter use pattern can be used to predict disaster resilience.

The results show that communities with higher socioeconomic conditions tend to have more twitter activities, communities with higher exposure to hazard tend to have more twitter activities. There are significant positive correlation between community resilience indices and twitter activities.

Committee Chair

Lam Nina

DOI

10.31390/gradschool_theses.4876

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