Abstract: Against the backdrop of insufficient number of fire stations in China, improving the coverage efficiency of fire rescue has become an important demand in the field of public safety. However, how to efficiently measure the effectiveness of fire rescue coverage remains a challenge faced by academia and industry. Using POI data to represent fire rescue demand points, with fire stations as fire rescue supply points; By calling on real-time traffic data available on the network map to simulate and calculate fire rescue response time, a fire rescue coverage efficiency calculation model based on hierarchical coverage weighting is constructed. By applying this model and considering the demand for building fire stations in Shaoyang City, 30 968 fire rescue demand points were collected, and 20 existing fire stations and 13 proposed fire stations were used as fire rescue supply points. 25 evaluation scenarios were set up, and a total of 1 297 025 valid samples were obtained. The calculation results show that after the proposed fire station is put into use, the coverage efficiency will increase by 20.47%, reaching 40.77 points. The specific situation is as follows: the coverage rate of less than 240 seconds will increase by 1.80%, reaching 9.09%; Within 240 s to 840 s, the coverage rate increased by 3.70%, reaching 27.51%; The coverage rate of more than 1 440 seconds decreased by 9.11% to 47.24%. Shaoyang City still needs to further strengthen the construction of fire stations. The constructed model can provide auxiliary support for the planning and construction of fire stations, and can also be applied to the calculation of fire rescue coverage efficiency in other cities.

Key words: coverage efficiency, calculation model, open data, hierarchical coverage rate, fire and rescue