APRED项目:一个基于网络的数据分析平台,用于支持社区抗灾能力。

Q3 Medicine Journal of Emergency Management Pub Date : 2023-09-01 DOI:10.5055/jem.0735
Ike Obi, Logan J Paul, William Liao, Mariem Loukil, Soichi Hayashi, Max Comer, Carol O Rogers, David J Wild, Patrick C Shih
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引用次数: 0

摘要

在本文中,我们介绍了灾害风险、复原力和支出分析平台(APRED),这是一个为美国各地的危机从业者和经济开发商开发的灾害分析平台。APRED为从业者提供了一个集中的平台,用于探索美国所有县的抗灾能力和脆弱性概况。该平台包括五个部分,包括:(1)抗灾能力指数、(2)商业脆弱性指数、(3)灾害申报历史、(4)县概况和(5)风暴历史部分。我们进一步描述了我们以人为中心的端到端设计和工程过程,包括情境调查、基于社区的参与式设计,以及在美国经济发展管理局代表和美国各地地区经济开发商的支持下的快速原型设计。我们的研究结果表明,分布式认知、内容启发式、可共享性,以人为中心的系统是开发用于弹性规划的数据密集型可视化平台的关键考虑因素。我们讨论了这些发现的含义,并为未来开发社会技术可视化平台以支持恢复力规划的研究提供了信息。
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Project APRED: A web-based data analytics platform for supporting community disaster resilience.

In this paper, we introduce the Analysis Platform for Risk, Resilience, and Expenditure in Disasters (APRED)-a disaster-analytic platform developed for crisis practitioners and economic developers across the United States (US). APRED provides practitioners with a centralized platform for exploring disaster resilience and vulnerability profiles of all counties across the US. The platform comprises five sections including: (1) Disaster Resilience Index, (2) Business Vulnerability Index, (3) Disaster Declaration History, (4) County Profile, and (5) Storm History sections. We further describe our end-to-end human-centered design and engineering process that involved contextual inquiry, community-based participatory design, and rapid prototyping with the support of US Economic Development Administration representatives and regional economic developers across the US. Findings from our study revealed that distributed cognition, content heuristic, shareability, and human-centered systems are crucial considerations for developing data-intensive visualization platforms for resilience planning. We discuss the implications of these findings and inform future research on developing sociotechnical visualization platforms to support resilience planning.

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来源期刊
Journal of Emergency Management
Journal of Emergency Management Medicine-Emergency Medicine
CiteScore
1.20
自引率
0.00%
发文量
67
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