Development of a fire risk model to identify areas of increased potential for fire occurrences

Abstract

The purposes of this study were to use geographic information systems to create a cartographic risk model predicting areas of increased potential for fire occurrences and to validate the model. Seven literature-identified risk factors associated with burn injury were older than 65 years, non-white race, below high school education, low socioeconomic status, rented housing, year home built, and home value. Geographic information system methods were used in risk factor model development. Model validation occurred using residential county fire dispatch data and statistical analysis. Areas of high and severe risk were primarily located in the northwestern and central county regions. A strong correlation (r =.66) was found between risk model scores and fire incidence rates. Significant differences in mean fire rates by risk category (F (187,3) = 87.58, P