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Journal ArticleDOI

Hazard risk awareness and disaster management: Extracting the information content of twitter data

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TLDR
In this article , the authors presented a comprehensive spatiotemporal analysis of textual content from millions of tweets shared on Twitter during Hurricane Harvey (2017) across several affected counties in southeast Texas and proposed a new Hazard Risk Awareness (HRA) Index, which considers multiple factors, including the number of tweets, population, internet use rate, and natural hazard characteristics per geographic location.
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This article is published in Sustainable Cities and Society.The article was published on 2022-02-01. It has received 25 citations till now. The article focuses on the topics: Preparedness & Natural hazard.

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Journal ArticleDOI

A Multivariate Scaling System Is Essential to Characterize the Tropical Cyclones' Risk

TL;DR: In this article , the authors proposed a new scaling system that uses Copulas for categorizing TCs based on the likelihood of a given set of severity for rainfall, surge, and wind speed.
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Unraveling the Relationship Between Tropical Storms and Agricultural Drought

TL;DR: In this paper , the correlation of extreme events between agricultural droughts and Atlantic tropical storm (TS) in the contiguous United States from 2015 to 2019 was examined using downscaled 1 km Soil Moisture Active Passive data set generated at the Center for Complex Hydrosystems Research at the University of Alabama, and Hurricane Database 2nd generation.
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Sustainable design of running friendly streets: Environmental exposures predict runnability by Volunteered Geographic Information and multilevel model approaches

TL;DR: In this paper , the authors adopted a volunteered geographic information (VGI) approach to measure urban runnability by quantifying environmental features that encourage or hinder running activities, and applied multilevel regression models to assess the spatial-varied impacts of street environment on running intensity, so as to elicit runner's preferences and investigate their associations with sociodemographic characteristics at higher hierarchical level.
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Toward Reduction of Detrimental Effects of Hurricanes using a Social Media Data Analytic Approach: How Climate Change is perceived?

TL;DR: In this paper , a thorough examination of the textual content of users' posts shared on Twitter across the 48 contiguous U.S. states (CONUS) during hurricanes Harvey (2017) and Dorian (2019).
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Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine

TL;DR: In this article , a multisource remote sensing approach that leverages both multispectral optical imagery and the weather-and illumination-independent characteristics of synthetic aperture radar (SAR) data to streamline, automate, and map geographically reliable flood inundation extents is introduced.
References
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Proceedings ArticleDOI

NLTK: The Natural Language Toolkit

TL;DR: The Natural Language Toolkit has been rewritten, simplifying many linguistic data structures and taking advantage of recent enhancements in the Python language.
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The Out-of-the-Loop Performance Problem and Level of Control in Automation:

TL;DR: This work studied the automation of a navigation task using an expert system and demonstrated that low SA corresponded with out-of-the-loop performance decrements in decision time following a failure of the expert system.
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The Protective Action Decision Model: Theoretical Modifications and Additional Evidence

TL;DR: Three applications are described (development of risk communication programs, evacuation modeling, and adoption of long-term hazard adjustments) and some of the research needed to address unresolved issues are identified.
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The Presentation of Self in the Age of Social Media: Distinguishing Performances and Exhibitions Online.

TL;DR: In this article, the authors argue that self-presentation can be split into performances and artifacts, which take place in asynchronous "exhibitions." They introduce the exhibitional approach and the curator and suggest ways in which this approach can extend present work concerning online presentation of self.
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Processing Social Media Messages in Mass Emergency: A Survey

TL;DR: This survey surveys the state of the art regarding computational methods to process social media messages and highlights both their contributions and shortcomings, and methodically examines a series of key subproblems ranging from the detection of events to the creation of actionable and useful summaries.
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How does hazard awareness predicts outcome expectancy during disaster preparedness?

The provided paper does not specifically discuss how hazard awareness predicts outcome expectancy during disaster preparedness.