Analysis and Forecasting of Fire incidence in Davao City

• Main Authors: Merlito M. Villa, Roel F. Ceballos
• Format: Article
• Language: English
• Published: Center for Policy, Research and Development Studies 2020-12-01
• Series: Recoletos Multidisciplinary Research Journal
• Subjects: r programming; forecasting; fire incidence; modeling for decision making
• Online Access: https://rmrj.usjr.edu.ph/rmrj/index.php/RMRJ/article/view/828

Fire incidence is a big problem for every local government unit in the Philippines. The two most detrimental effects of fire incidence are economic loss and loss of life. To mitigate these losses, proper planning and implementation of control measures must be done. An essential aspect of planning and control measures is prediction of possible fire incidences. This study is conducted to analyze the historical data to create a forecasting model for the fire incidence in Davao City. Results of the analyses show that fire incidence has no trend or seasonality, and occurrences of fire are neither consistently increasing nor decreasing over time. Furthermore, the absence of seasonality in the data indicate that surge of fire incidence may occur at any time of the year. Therefore, fire prevention activities should be done all year round and not just during fire prevention month.