United States Department of Transportation
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Community Augmented Rapid-response to Events (CARE) Integrated Crisis Communication System
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2024-02-01
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[PDF-2.53 MB]
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Edition:Final Report (August 2020-February 2024)
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Abstract:This project explores the potential of integrating social media data (i.e., Twitter/X) with data from community awareness applications (i.e., Waze) to bolster crisis communication and enhance the accuracy and promptness of incident identification, assessment, and reporting during emergencies. To navigate the challenges posed by varied data formats and the online nature of this information, the research employs a multi-pronged approach. This includes; (1) interviews with multiple state DOTs for insights on event detection software implementation and experience with social media and community data, (2) the development of a weighted competency matrix built from factors identified in the literature and from the aforementioned state DOT interviews to assess existing event detection software solutions, and (3) the development and application of two unique machine learning frameworks aimed at optimizing data integration and amplifying social media to augment DOT crisis event detection. This fusion promises heightened situational awareness and improved response times, establishing a foundation for equitable, real-time crisis detection with an approach that significantly boosts the potential of topic models, as well as improves information management, anomaly detection, and resource allocation, which are critical for adaptive decision-making in evolving crisis event conditions.
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