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International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE

Evidence for the effect of homes on wildfire suppression costs

Patricia H. Gude A D , Kingsford Jones B , Ray Rasker A and Mark C. Greenwood C
+ Author Affiliations
- Author Affiliations

A Headwaters Economics, PO Box 7059, Bozeman MT 59771, USA.

B ObjectiveStat Consulting, PO Box 501, Manhattan, MT 59741, USA.

C Montana State University, Department of Mathematical Sciences, PO Box 172400, Bozeman, MT 59717, USA.

D Corresponding author. Email: patty@headwaterseconomics.org

International Journal of Wildland Fire 22(4) 537-548 https://doi.org/10.1071/WF11095
Submitted: 8 July 2011  Accepted: 29 August 2012   Published: 3 January 2013

Abstract

This paper uses wildfires in the Sierra Nevada area of California to estimate the relationship between housing and fire suppression costs. We investigated whether the presence of homes was associated with increased costs of firefighting after controlling for the effects of potential confounding variables including fire size, weather, terrain and human factors such as road access. This paper investigates wildfires in a way that other published studies have not; we analysed costs at the daily level, retaining information that would have been lost had we aggregated the data. We used linear mixed models to estimate the effects of homes on daily costs while incorporating within-fire variation. We conclude that the expected increase in the log daily cost with each unit increase in the log count of homes within 6 miles (~9.7 km) of an active fire is 0.07 (P = 0.005). The findings of this study are in agreement with most other previous empirical studies that have investigated the relationship between fire suppression costs and housing using cumulative fire costs and more generalised data on home locations. The study adds to mounting evidence that increases in housing lead to increases in fire suppression costs.

Additional keywords : California, mixed models, serial correlation, wildland–urban interface.


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