01517583

Component

https://doi.org/10.3141/2459-13

Microblogs posted to Twitter after the tornado in Moore, Oklahoma, on May 20, 2013, were analyzed in this study. The potential of social media data was explored for the extraction of relevant and useful information during natural disasters and as an additional data source for better understanding of individual behavior during a crisis. Data records were attributed to user groups, and the most frequently used words were ranked to track the variation of common interests for each user group. In addition, the data were classified into different content categories, and the temporal variation patterns were analyzed. A sentiment analysis, which revealed variations in public mood and perception over time, was conducted to quantify the sentiment in the data. The techniques presented can be applied to the analysis of similar major social crises and natural disasters (e.g., hurricanes and earthquakes) to provide valuable complementary information in crisis awareness and response to users, first responders, and emergency preparedness agencies. Different stakeholders can determine the needs and activities of people during disasters by using the proposed method with the help of social media data.

01551909

14-2099

English

pp 110–118

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295512

Print

Figures (5) ; References (28) ; Tables (2)

Data analysis; Disasters and emergency operations; Methodology; Social media; Tornadoes; Travel behavior

Twitter

Data and Information Technology; Highways; Operations and Traffic Management; Security and Emergencies; I72: Traffic and Transport Planning

TRIS, TRB, ATRI

Jan 27 2014 2:44PM

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• Cost Assessment of Highway Bridge Network Subjected to Extreme Seismic Events
• Effect of Phased Evacuations in Megaregion Highway Networks
• Efficient Negative Cycle–Canceling Algorithm for Finding the Optimal Traffic Routing for Network Evacuation with Nonuniform Threats
• Generic Incident Model for Investigating Traffic Incident Impacts on Evacuation Times in Large-Scale Emergencies
• Indicator Approach for Assessing Climate Change Vulnerability in Transportation Infrastructure
• Mathematical Modeling of Command-and-Control Strategies in Crowd Movement
• Mobility Benefits of Intermediate Crossovers on Contraflow Facilities During Hurricane Evacuation
• Modeling and Assessment of Crossing Elimination for No-Notice Evacuations
• Network Flow Solution Method for Optimal Evacuation Traffic Routing and Signal Control with Nonuniform Threat
• Planning Postdisaster Operations in a Highway Network: Network Design Model with Interdependencies
• Simulation Study of Evacuation Routes and Traffic Management Strategies in Short-Notice Emergency Evacuation
• Urban Ferries and Catastrophic Floods: Experiences and Lessons Learned in Brisbane, Australia, and New York City
• Use of Mobile Lidar Data to Assess Hurricane Damage and Visualize Community Vulnerability