Constructing an anticipation formula for fire loss in factory-type

Abstract

The before fire assessment data from the ARC fire risk assessment system and the financial loss from post-fire damage report for factory-type buildings located in Taiwan were collected. The correlation between assessment data and degree of fire loss (DFL) was calculated by three regression analyses – linear, power, and exponential equations – to produce an anticipation formula. The results revealed that there is more a believable prediction when the fire loss is bigger, regardless of the amount of fire loss or the DFL, while the latter is more related to the assessment grade. By providing proprietors and insurance companies detailed fire risk analysis showing predictable financial loss, it is advantageous for budget management and fire protection, enforcement and should result in the reduction of fire risk and subsequent damage to factory-type buildings.

Keywords:

• fire risk assessment
• degree of fire loss
• regression analysis
• anticipation formula

Acknowledgments

The research was financially supported by the Engineering Department of the National Science Council (project no. NSC 99-2221-E-274-009). During this study, Fubon and Mingtai Insurance Company provided valuable fire data. Their help is truly appreciated.