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- W2103777029 abstract "We evaluate whether wildland urban interface households willingness-to-pay for fire prevention is influenced by forest fire risk variables calculated using Geographic Information Systems (GIS). Specifically, we use spatial modeling to calculate estimated fire danger of homes in Colorado and then enter those variables in our logit model of household willingnessto-pay. Including the spatial variables in the models, we found that having a defensible space zone of 10 meters and having a high fire danger in the 100 meter area surrounding their home had a statistically significant influence on willingness-to-pay for fire prevention. For fire suppression, the weighted average fire danger within one mile of their home was the spatial variable that had an influence on willingness-to-pay. The explanatory power of the logit models was noticeably higher with the GIS fire risk variables included." @default.
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- W2103777029 date "2004-01-01" @default.
- W2103777029 modified "2023-09-27" @default.
- W2103777029 title "Using GIS to Test the Relationship Between Homeowner Willingness to Pay to Reduce Wildfire and Landscape Characteristics 1" @default.
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