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RAPID: Houston in Hurricane Harvey (H3): Establishing Disaster System-of-Systems Requirements for Network-Centric and Data-Enriched Preparedness and Response

RAPID：飓风哈维 (H3) 中的休斯顿：建立以网络为中心和数据丰富的准备和响应的灾难系统要求

基本信息

批准号：
1759537
负责人：
Ali Mostafavi
金额：
$ 4.99万
依托单位：
Texas A&M Engineering Experiment Station
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
起止时间：
2017-10-01 至 2019-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1759537&HistoricalAwards=false
关键词：
RAPID Houston Hurricane Harvey H3

项目摘要

This RAPID study will collect and analyze time-sensitive data from Hurricane Harvey in Houston in order to document the needs, challenges, and required capabilities for enhanced management, decision-making, and situation awareness in disaster system-of-systems (interdependent processes, operations, and systems involved in disaster preparedness and response). The management success and efficiency of disaster system-of-systems depend on the ability to integrate individual systems and processes and communicate information in a network-centric manner. The outcomes of this study will include: (1) A research roadmap and ontology specifying the requirements and characteristics for disaster system-of-systems in order to improve situation awareness, risk reduction, and decision-making during preparedness and response to extreme weather events; (2) An automated multi-modal data analytics framework integrating multiple heterogeneous datasets for improved situation awareness of community risks, events, and activities; and (3) A network analysis providing a guide for where, to whom, and how to utilize smart technologies and systems to enable network-centric and data-enriched Disaster SoS. These outcomes will provide important understanding and guide for researchers and practitioners towards creation and implementation of smart technologies and data analytics systems that enhance the resilience of communities to extreme weather events.Establishing robust and resilient disaster system-of-systems (SoS) is essential to protect communities in extreme weather events. However, the current knowledge lacks important elements related to the SoS requirements and characteristics (e.g., architecture, technologies, and integration) to augment human processes, interactions, and decision-making. To address this knowledge gap, this study aims to collect and analyze perishable and time-bound data from the 2017 Hurricane Harvey in Houston to: (1) Map Disaster SoS elements, relationships, needs, and challenges through in-depth interviews and participatory workshops with elected and appointed officials, infrastructure managers, emergency responders, and decision-makers, as well as household surveys; (2) Examine the utility of cyber informatics and social sensing technologies to better integrate social media infrastructure with Disaster SoS for improving the community situation awareness; and (3) Map and analyze community networks to model communities by their activities, events, and communication in order to determine opportunities for utilizing smart technologies for network-centric preparedness and response processes. The outcomes of this project will have significant societal benefits that will build new smart and connected communities that are more resilient to extreme weather events. To attain the societal benefits, the project outcomes will be disseminated through three avenues: community engagement workshops, scholarly publications and presentations, and a project webpage.

这项RAPID研究将收集和分析休斯顿哈维飓风的时间敏感数据，以记录需求，挑战和所需的能力，以增强灾害系统中的管理，决策和态势感知（相互依赖的过程，操作和系统参与备灾和响应）。灾害管理系统的成功和效率取决于能否以网络为中心整合各个系统和流程并交流信息。本研究的成果将包括：（1）一个研究路线图和本体，规定了系统的灾害系统的要求和特点，以提高态势感知，减少风险，并在准备和应对极端天气事件的决策;（2）一个自动化的多模态数据分析框架，集成多个异构数据集，以提高对社区风险、事件和活动;以及（3）网络分析，为在何处、向谁以及如何利用智能技术和系统来实现以网络为中心和数据丰富的灾难SoS提供指导。这些成果将为研究人员和从业人员提供重要的理解和指导，以创建和实施智能技术和数据分析系统，提高社区对极端天气事件的抵御能力。建立强大而有弹性的灾害系统系统（SoS）对于在极端天气事件中保护社区至关重要。然而，目前的知识缺乏与SoS要求和特性相关的重要要素（例如，架构、技术和集成）来增强人类流程、交互和决策。为了解决这一知识差距，本研究旨在收集和分析2017年休斯顿飓风哈维的易逝和有时限的数据，以：（1）通过与当选和任命的官员，基础设施管理人员，应急响应人员和决策者的深入访谈和参与式研讨会以及家庭调查，绘制灾难SoS要素，关系，需求和挑战;（2）研究网络信息学和社会感知技术的效用，以更好地将社会媒体基础设施与灾难SoS相结合，提高社区的情况意识;以及（3）映射和分析社区网络，以通过社区的活动、事件和通信，以确定利用智能技术进行以网络为中心的备灾和应对进程的机会。该项目的成果将产生重大的社会效益，将建立新的智能和互联社区，对极端天气事件更具弹性。为达致社会效益，计划的成果将透过三个途径披索：社区参与工作坊、学术出版物及报告，以及计划网页。