Estimation of total effective coverage rate of regional fire service based on open network data
Mastering the effective coverage rate of fire service efficiently and accurately is the premise of optimizing fire station resource allocation.The travel time threshold of fire service to determine whether the fire service demand point is effectively covered was set as 240 s in this study.The objective value of the effective coverage rate of fire service was set as ≥ 90％.The estimation model of the total effective coverage rate of regional fire service based on the time-weighed method was established.To validate the estimation model,Changsha City was selected as the study area.Based on open network data,accurate addresses of 50 fire stations in Changsha and their corresponding longitudes and latitude in Changsha were gathered and used as fire service demand points.Similarly,5 746 social units gathered from the fire information supervision system in China were used as fire service supply points.Travel times and distances between fire service supply points and fire service demand points were calculated and simulated by calling the application programming interface of online maps based on real-time traffic conditions.In total,197 estimation scenarios in seven consecutive days were set,and 1 131 962 valid samples were obtained.Based on data mining,the total effective coverage rate of fire services in Changsha was estimated at 21.22％.The fire service level of Changsha can be determined as"C",which means that more fire stations should be built in Changsha to improve fire service.Visualizations of results show that fire service demand points with"poor"levels are mainly distributed in rural areas,and those with"medium"levels are mainly distributed in suburban areas.From the perspective of safety and economy,we suggest building more small fire stations with only one or two fire trucks in rural areas.The estimation model of the total effective coverage rate of regional fire service based on open network data has the characteristics of high efficiency and accuracy,which can provide key theoretical and methodological support for optimizing the allocation of fire station resources and improving the level of public safety.
public safetyfire serviceeffective coverage ratefire stationopen datareal-time road conditiontime-weighed
万方数据
维普
