Assessing influences on social vulnerability to wildfire using surveys, spatial data and wildfire simulations

Area of Science:

• Environmental Science
• Social Science
• Risk Analysis

Background:

• Wildfire risk research often uses demographic data and simulations to assess social vulnerability.
• Existing studies make assumptions about factors influencing wildfire vulnerability that lack empirical testing.
• Understanding social vulnerability is crucial for effective wildfire management and mitigation policies.

Purpose of the Study:

• To empirically test relationships between property owner characteristics and wildfire risk.
• To evaluate how demographic, perceptual, and property factors influence social vulnerability to wildfire.
• To assess the impact of these characteristics on mitigation behaviors and support for fire management.

Main Methods:

• Utilized self-reported surveys from property owners.
• Integrated Geographic Information System (GIS) data.
• Employed wildfire simulation models to generate empirical risk metrics.

Main Results:

• Parcel characteristics significantly explain variations in wildfire exposure, sensitivity, and overall risk.
• Higher income and property values were inversely related to social vulnerability components, contrary to prior assumptions.
• Perceptions of agency management influenced wildfire sensitivity, while perceived risk at residence influenced mitigation actions.

Conclusions:

• Parcel characteristics are more significant predictors of wildfire risk than commonly assumed demographic factors.
• Re-evaluating assumptions about social vulnerability is necessary for accurate wildfire risk assessment.
• Alternative data collection methods and considerations are needed for effective wildfire social vulnerability research.