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Communicating Advanced Infrastructure Resiliency Analytics to Diverse Groups of Stakeholders - Josh Vertalka
Pages 59-64

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From page 59...
... Such advances include a model that allows airport security officers to identify combinations of airport security measures that minimize undesired risk events, and a simulation that assists government officials in planning for hurricane risk events by combining probabilistic hurricane paths and flood inundation data. INTRODUCTION Emergency managers and disaster planners have faced great challenges from unusually severe hurricanes in the past 25 years.
From page 60...
... Decision level Description Math relationship Simple Management is straightforward: there is Direct linear relationship a clear cause and effect relationship and between X and Y therefore decisions are quite clear. Complicated Cause and effect relationships are not The relationship between X always apparent to everyone.
From page 61...
... Emergency managers and disaster planners need decision support tools that overcome the challenges of complicated and easily misinterpreted static map overlays, disparate and discontinuous data sources, and delayed maps, all of which exacerbated hurricane impacts in 2017. Static maps, for example, may provide incomplete spatial information as they require complicated spatial overlays, careful interpretation, and time to digest the information.
From page 62...
... The approach includes building use cases for the tool, user personas, and mood boards that help maximize connectivity between the users, the tool, and the data. The information gathered in the discovery session allows our development team to efficiently structure the backend databases for the analytical procedures and data and the frontend based on design aspects.
From page 63...
... Custom decision support tools overcome the challenges presented by static maps and GIS applications and enable users to interact with data insights and build different resiliency scenarios through a map interface. Users can toggle switches, zoom in and out of areas, use slide bars to adjust surge levels, and pull levers to change prediction schematics.
From page 64...
... The more connected people are with the data, the more successful the tool becomes. Our data science, development, and design approach helps resiliency planners and EMs better prepare for hurricanes and other natural disasters by giving them the tools to better leverage knowledge embedded in data.


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