A paper by Shao-Lun Lee, Mei-Hua Hsu, Yi-Fan Wang and Max Yue-Feng Wang for Scientific Reports aims to develop a predictive model resource to forecast the severity of urban fires.
The goal of the resource is to enhance efficiency and public safety by helping fire departments with resource allocation through the integration of Geographic Information Systems (GIS) in predictive modeling.
Insights from this kind of technology could then be used by fire departments and urban planners alike for things like pre-positioning resources in high-risk areas, influencing zoning laws, and other practical application.
Read on to learn more.
