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敦飓风哈维的时间敏感数据，以记录增强灾害系统中的管理、决策和态势感知（相互依赖的过程、备灾和响应所涉及的操作和系统）。灾难系统的管理成功和效率取决于集成各个系统和流程以及以网络为中心的方式传达信息的能力。本研究的成果将包括： (1) 研究路线图和本体论，详细说明灾害系统的要求和特征，以提高在准备和应对极端天气事件期间的态势感知、风险降低和决策; (2) 集成多个异构数据集的自动化多模式数据分析框架，以提高对社区风险、事件和活动的态势感知； (3) 网络分析为在何处、向谁以及如何利用智能技术和系统提供指南，以实现以网络为中心且数据丰富的灾难 SoS。这些成果将为研究人员和从业者创建和实施智能技术和数据分析系统提供重要的理解和指导，从而增强社区对极端天气事件的抵御能力。建立强大且有弹性的灾害系统（SoS）对于在极端天气事件中保护社区。然而，当前的知识缺乏与 SoS 需求和特征（例如架构、技术和集成）相关的重要元素来增强人类流程、交互和决策。为了弥补这一知识差距，本研究旨在收集和分析 2017 年休斯顿飓风哈维的易腐烂且有时限的数据，以便：(1) 通过深入访谈和参与式研讨会绘制灾难 SoS 要素、关系、需求和挑战与民选和任命的官员、基础设施管理者、应急人员和决策者以及家庭调查； (2) 研究网络信息学和社会传感技术的效用，以更好地将社交媒体基础设施与灾难 SoS 结合起来，以提高社区的情况意识； (3) 绘制和分析社区网络，通过活动、事件和通信对社区进行建模，以确定利用智能技术进行以网络为中心的准备和响应过程的机会。该项目的成果将产生显着的社会效益，将建立新的智能互联社区，对极端天气事件具有更强的抵御能力。为了实现社会效益，项目成果将通过三个途径传播：社区参与研讨会、学术出版物和演示以及项目网页。