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RAPID: Discovering Crises Within Crises - Real-Time Detection, Tracking and Visualization of Emergent Crises in Hurricanes

RAPID: Discovering Crises Within Crises - Real-Time Detection, Tracking and Visualization of Emergent Crises in Hurricanes
RAPID:发现危机中的危机 - 飓风中紧急危机的实时检测、跟踪和可视化
批准号:
1760645
负责人:
John Taylor
金额:
$18.77万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-10-01 至 2019-09-30

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中文摘要
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英文摘要
Hurricanes are a devastating natural disaster. Forecasters at the NOAA Climate Prediction Center have predicted an above-normal hurricane season this year. This prediction is already proving accurate as evidenced by the two massive and devastating recent hurricanes: Hurricane Harvey and Hurricane Irma. It is urgent and time critical to develop, refine and test systems that can improve the ability of first responders and emergency management agencies to identify emergent crises before, during and after hurricanes. The research objective of this Rapid Response Research (RAPID) is to develop a crisis detection, tracking and visualization system. Social media data collected before, during and after Hurricane Harvey and Hurricane Irma will be used to develop and retrospectively validate the system. The results of this research will improve the detection, tracking and visualization of emergent crises in hurricanes and other large scale natural disasters in the future by enabling the pinpointing of extreme crisis areas in the midst of an overall emerging crisis. This will be accomplished without prior definition of crisis topics to enable the detection of unexpected crises that are clustered in space and time, potentially leading to more lives saved. It will further provide first responder and emergency management agencies with a new understanding of the role spatially-referenced social media can play in increasing the effectiveness of disaster response efforts. The research findings and the detection, tracking and visualization system will be disseminated in presentations to emergency responders in coastal urban areas to demonstrate the system and encourage its implementation in future tropical cyclone seasons.
期刊论文(7)
专著(0)
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会议论文
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [R. Samuels;J. Taylor;Neda Mohammadi]
通讯作者: R. Samuels;J. Taylor;Neda Mohammadi
Measuring the Impact of Transportation Diversity on Disaster Resilience in Urban Communities: Case Study of Hurricane Harvey in Houston, TX
衡量交通多样性对城市社区抗灾能力的影响:德克萨斯州休斯顿飓风哈维的案例研究
DOI: 10.1061/9780784482445.071
发表时间: 2019
期刊: Proceedings of the ASCE International Conference on Computing in Civil Engineering
影响因子: --
作者: [Wang, Yan, Rahimi-Golkhandan, Armin, Chen, Changjie, Taylor, John E., Garvin, Michael J.]
通讯作者: Garvin, Michael J.
The Promise of Smart and Resilient Cities
智慧和韧性城市的前景
DOI: --
发表时间: 2018
期刊: The Bridge
影响因子: --
作者: [DesRoches, R., Taylor, J.]
通讯作者: Taylor, J.
Applied Methodology for Identifying Hurricane-Induced Social Media Signal Changes in Vulnerable Populations
识别飓风引起的弱势群体社交媒体信号变化的应用方法
DOI: 10.1061/9780784482445.067
发表时间: 2019
期刊: Proceedings of the ASCE International Conference on Computing in Civil Engineering
影响因子: --
作者: [Samuels, Rachel, Taylor, John E.]
通讯作者: Taylor, John E.
7
    Simulating UNder ice Shelf Extreme Topography (SUNSET)
    • 批准号:
      NE/X013782/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $43.5万
    • 财政年份:
      2023
    • 负责人:
      John Taylor
    • 依托单位:
    NSFGEO-NERC: Energy transfer between submesoscale vortices and resonantly-forced inertial motions in the northern Gulf of Mexico
    • 批准号:
      NE/T004223/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $30.49万
    • 财政年份:
      2019
    • 负责人:
      John Taylor
    • 依托单位:
    CAREER: Building Occupant Network Dynamics (BOND) - Multi-scale Experimentation and Simulation in the Built Environment to Achieve Sustained Energy Conservation
    • 批准号:
      1733695
    • 项目类别:
      Standard Grant
    • 资助金额:
      $4.63万
    • 财政年份:
      2017
    • 负责人:
      John Taylor
    • 依托单位:
    Detecting bladder volume and pressure from sacral nerve signals: the key to future artificial control
    • 批准号:
      EP/P018947/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $40.38万
    • 财政年份:
      2017
    • 负责人:
      John Taylor
    • 依托单位:
    海外基金