Urban multipoint fire disaster emergency simulation based on web information

Abstract

Simulations can aid in decision making in large-scale emergency response problems limited by insufficient a priori experience. Scenario setting for emergency simulations usually requires complex spatial information, and such issues can lead to a large simulation workload and poor repeatability. Therefore, this study uses a web mapping API to obtain emergency resources and traffic network information and establishes an urban multipoint fire emergency simulation system (UMFESS) for the case of multipoint fire rescue. UMFESS performs traffic network modeling by obtaining real traffic data on a navigation platform, and Arena software is utilized to simulate the process of data collection, information transmission, and department response. The displayed simulation results for firefighting, first aid, transfer and placement can provide the basis for government emergency management. Then, typical cases of single fire and multipoint fires in Beijing are used to verify and validate UMFESS. The simulation results show that the route time and updated information have significant effects on emergency efficiency in the case of concurrent fires with limited resources. Emergency managers should focus on the fairness and stability of resource allocation.