Emergency managers (EMs) need nuanced data that contextualize the local-scale risks and impacts posed by major storm events (e.g. hurricanes and nor’easters). Traditional tools available to EMs, such as weather forecasts or storm surge predictions, do not provide actionable data regarding specific local concerns, such as access by emergency vehicles and potential communication disruptions. However, new storm models now have sufficient resolution to make informed emergency management at the local scale. This paper presents a Participatory Action Research (PAR) approach to capture critical infrastructure managers concerns about hurricanes and nor’easters in Providence, Rhode Island (USA). Using these data collection approach, concerns can be integrated into numerical storm models and used in emergency management to flag potential consequences in real time during the advance of a storm. This paper presents the methodology and results from a pilot project conducted for emergency managers and highlights implications for practice and future academic research.

中文翻译：

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危害后果预测系统：加强应急管理的参与式行动研究方法

应急管理人员 (EM) 需要细致入微的数据，将主要风暴事件（例如飓风和东北风）所造成的局部风险和影响与背景联系起来。新兴市场可用的传统工具（例如天气预报或风暴潮预测）无法提供有关当地特定问题的可操作数据，例如紧急车辆的访问和潜在的通信中断。然而，新的风暴模型现在具有足够的分辨率，可以在当地范围内进行知情的应急管理。本文介绍了一种参与式行动研究 (PAR) 方法，用于捕捉关键基础设施管理人员对美国罗德岛普罗维登斯的飓风和东北风的担忧。使用这些数据收集方法，关注点可以集成到数值风暴模型中，并用于应急管理，以在风暴推进期间实时标记潜在后果。本文介绍了为应急管理人员开展的试点项目的方法和结果，并强调了对实践和未来学术研究的影响。