A variety of factors impact a property’s risk, including fuel type, load, and alignment as well as such regional considerations as slope features, climate, and fire history. WDSrisk was created to work with the variety of wildfire risk contributors and gain users an immediate scoring output that’s easily interpreted. The proprietary WDSrisk algorithm is focused on interpreting wildfire risk alone—a unique approach when compared to big data models that dominate the industry—integrating location vulnerability with wildfire hazard potential (WHP) to identify the likelihood the location will sustain a loss in the presence of a wildfire. Outputs identify both loss probability scoring and associate this score to deviation categories for the state to make policy writing decisions easy.
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