Calculating reduction coefficients for optimization of emergency service system using microscopic simulation model

摘要

For design fair public service system using the weighted p-median problem exist some approaches which use reduction coefficients. These coefficients allow to take probability of failure/occupation of service center into account and to make the location-allocation model more realistic. If the nearest service center is occupied by some other user, the demand is served from the second nearest service center. In cases we have no data for calculating reduction coefficients from real data, can be a simulation model used. This paper describes creating the microscopic simulation model of emergency medical service system and publishes simulation results for reduction coefficients. The model was implemented under the conditions of the Slovak Republic in the simulation tool Anylogic. Travel times were calculated by using the transportation network data from the OpenStreetMap.