RAPID/Collaborative Research: Integrated Sociotechnical Investigations of the Compounding Impacts of Maui Wildfires fueled by Hurricane Dora

快速/协作研究:对飓风多拉引发的毛伊岛野火的复合影响进行综合社会技术调查

基本信息

  • 批准号:
    2345641
  • 负责人:
  • 金额:
    $ 5万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

This Grants for Rapid Response Research (RAPID) project collects ephemeral data to better understand the compounding impacts of Maui wildfires and Hurricane Dora and reveal the differences between residents and tourists in their behavioral responses as affected by infrastructure failures. It examines the sources of warning information, protective action decision-making, and evacuation logistics at the individual level. In the meantime, the project captures the operation states of disaster warning operations in Maui under the loss of cell and electric power services. Failures at each system are documented, as well as the cascading effect among inter-connected infrastructure systems. The research outcomes expand the existing body of scientific knowledge on warning and evacuation while advancing the understanding of informal networks and decision-making in the absence of official guidance. The hurricane-fueled fast-moving Maui wildfire offers a unique research opportunity to explore the intricacies of decision-making in the absence of official warnings. This event has three unique characteristics. First, Maui has a large percentage of tourists who may exhibit different patterns in warning reception, protective action decision-making, and evacuation logistics. Second, none of the 80 warning sirens placed around the island were activated in response to the wildfire threat. Its absence, coupled with the loss of cell phone and power services, severely limited access to timely official warnings. Third, the cascading failures of critical infrastructure systems highlighted the interdependencies among them and the devastating consequences. This project collects and analyzes multi-dimensional data on heterogeneous behavioral responses by residents and tourists with varying degrees of warning information, as well as the ways in which these responses were affected by critical infrastructure failures (i.e., damages/disruptions to transportation, power, and communication network interoperability). The rich datasets not only bolster future digital twin-empowered applications but also contribute to the enhancement of emergency management in cyber and physical domains. In addition, the project engages and trains multiple Native Hawaiian students in data collection and analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
这个快速反应研究(RAPID)项目的赠款收集短暂的数据,以更好地了解毛伊岛野火和飓风多拉的复合影响,并揭示居民和游客之间的差异,他们的行为反应受到基础设施故障的影响。它研究了警报信息的来源,保护行动的决策,并在个人层面的疏散物流。与此同时,该项目捕捉了在失去电池和电力服务的情况下,毛伊岛灾害预警业务的运行状态。记录每个系统的故障以及相互连接的基础设施系统之间的级联效应。研究成果扩大了现有的警报和疏散科学知识,同时促进了对非正式网络和在没有官方指导的情况下决策的理解。飓风引发的快速移动的毛伊岛野火提供了一个独特的研究机会,可以在没有官方警告的情况下探索决策的复杂性。这一事件有三个独特的特点。首先,毛伊岛有很大比例的游客谁可能会表现出不同的模式,在警告接收,保护行动的决策,和疏散物流。其次,岛上设置的80个警报器都没有启动以应对野火威胁。由于没有预警系统,再加上手机和电力服务中断,获得及时官方预警的机会受到严重限制。第三,关键基础设施系统的连锁故障凸显了它们之间的相互依赖性和毁灭性的后果。该项目收集和分析了居民和游客在不同程度的警告信息下的异质行为反应的多维数据,以及这些反应受到关键基础设施故障(即,对运输、电力和通信网络互操作性的损害/中断)。丰富的数据集不仅支持未来的数字双授权应用,还有助于加强网络和物理领域的应急管理。此外,该项目还参与并培训了多名夏威夷原住民学生进行数据收集和分析。该奖项反映了NSF的法定使命,并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

项目成果

期刊论文数量(0)
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会议论文数量(0)
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Guohui Zhang其他文献

Modeling travel mode choice behavior with bounded rationality using Markov Logic Networks
使用马尔可夫逻辑网络对出行方式选择行为进行有限理性建模
  • DOI:
    10.1080/19427867.2017.1342945
  • 发表时间:
    2019-07
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Tao Li;Hongzhi Guan;Jiaqi Ma;Guohui Zhang;Keke Liang
  • 通讯作者:
    Keke Liang
A Conjugated Figure-of-eight Oligoparaphenylene Nanohoop with Adaptive Cavities Derived from Cyclooctatetrathiophene Core.
具有源自环辛四噻吩核心的自适应空腔的共轭八字形低聚对亚苯基纳米环。
  • DOI:
    10.1002/anie.202113334
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Lijie Zhan;Chenshu Dai;Guohui Zhang;Jun Zhu;Shaoguang Zhang;Hua Wang;Yi Zeng;C. Tung;Lizhu Wu;Huan Cong
  • 通讯作者:
    Huan Cong
An explanatory analysis of driver injury severity in rear-end crashesusing a decision table/Na?ve Bayes (DTNB) hybrid classifier
使用决策表/朴素贝叶斯 (DTNB) 混合分类器对追尾事故中驾驶员受伤严重程度进行解释性分析
  • DOI:
  • 发表时间:
    2016
  • 期刊:
  • 影响因子:
    5.9
  • 作者:
    Cong Chen;Guohui Zhang;Jinfu Yang;John C. Milton
  • 通讯作者:
    John C. Milton
Nonspecific Membrane Interactions Can Modulate BK Channel Activation
非特异性膜相互作用可以调节 BK 通道激活
  • DOI:
    10.1101/2020.02.05.936161
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mahdieh Yazdani;Guohui Zhang;Zhiguang Jia;Jingyi Shi;J. Cui;Jianhan Chen
  • 通讯作者:
    Jianhan Chen
Analysis of the Correlation Between Visceral Fat Area and Insulin Resistance in Patients with Type 2 Diabetes and Abdominal Obesity
2型糖尿病合并腹部肥胖患者内脏脂肪面积与胰岛素抵抗的相关性分析
  • DOI:
    10.26689/jcnr.v8i4.6542
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Guohui Zhang;Juan Xu;Qiong Peng;Yalei Xu;Shaochang Ma
  • 通讯作者:
    Shaochang Ma

Guohui Zhang的其他文献

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