Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
Topics: Geographic Information Science and Systems
, Spatial Analysis & Modeling
, Hazards, Risks, and Disasters
Keywords: social media, emergency rescue, Twitter, Hurricane Harvey, vulnerability
Session Type: Virtual Paper Abstract
Day: Tuesday
Session Start / End Time: 3/1/2022 03:40 PM (Eastern Time (US & Canada)) - 3/1/2022 05:00 PM (Eastern Time (US & Canada))
Room: Virtual 21
Authors:
Lei Zou, Texas A&M University
Nina Lam, Louisiana State University
Heng Cai, Texas A&M University
Bing Zhou, Texas A&M University
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Abstract
Social media plays increasingly significant roles in disaster response, but effectively leveraging social media for rescue is challenging. This study analyzed rescue requests on Twitter during the 2017 Hurricane Harvey, in which many residents resorted to social media to call for help. The objectives include: (1) understand the characteristics of rescue-request messages; (2) reveal the spatial-temporal patterns of rescue requests; (3) determine the social-geographical conditions of communities needing rescue; and (4) identify the challenges of using social media for rescue and propose improvement strategies. About half of rescue requests either did not provide sufficient information or neglected to include rescue-related hashtags or accounts. Of the 824 geocoded unique rescue requests, 41% were from FEMA-defined minimal flood risk zones. In addition, communities sending more rescue requests on Twitter were environmentally and socioeconomically more vulnerable. Finally, we derived a framework summarizing the steps and strategies needed to improve social media use for rescue operations.
Social Media for Emergency Rescue: An Analysis of Rescue Requests on Twitter during Hurricane Harvey
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Virtual Paper Abstract
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