Abstract: To achieve a scientific and rational assessment of task volumes, enhance the work motivation of firefighters, and lay the foundation for optimal resource allocation, this study constructs an evaluation index system based on historical dispatch data. The proposed system incorporates indicators such as task risk, resource occupancy, operational complexity, and firefighters' subjective feedback.A man-hour-factor fitting algorithm framework is introduced to assess task volumes, employing a combination of subjective and objective methods—including the Analytic Hierarchy Process (AHP) and ridge regression—to determine indicator scoring, weight calculation, and workload classification criteria. Based on this, a pilot study was conducted using real data from a city to evaluate task volume. The study concluded that task volume exhibits gradient variations depending on the disposal methods, and that firefighting tasks involve significantly higher workloads compared to other types. This finding is consistent with public understanding, validating the scientific robustness of the evaluation system. A quantitative analysis of workload per fire station and per capita in the city revealed that the average per capita workload in high-load stations was more than eight times that of low-load stations. Fire stations in the main urban area handled larger task volumes, yet maintained appropriate per capita work intensity. In contrast, suburban fire stations may require additional personnel. The establishment of a task volume evaluation system for fire stations provides data-driven support for optimizing resource allocation, helps raise management awareness regarding grassroots stations, and contributes to alleviating workload disparities among stations through rational deployment of personnel and equipment.

Key words: fire station, dispatch task volume, mission risk index, workload level