A multi-period double coverage approach for locating the emergency medical service stations in Istanbul

Ayfer Başar · Bülent Çatay · Tonguç Ünlüyurt

83 citations0/0 files storedJournal of the Operational Research Society

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Facility Location and Emergency Management Vehicle Routing Optimization Methods Safety and Risk Management

Abstract

We consider the multi-period location planning problem of emergency medical service (EMS) stations. Our objective is to maximize the total population serviced by two distinct stations within two different response time limits over a multi-period planning horizon. Our aim is to provide a backup station in case no ambulance is available in the closer station and to develop a strategic plan that spans multiple periods. In order to solve this problem, we propose a Tabu Search approach. We demonstrate the effectiveness of the proposed approach on randomly generated data. We also implement our approach to the case of Istanbul to determine the locations of EMS stations in the metropolitan area.

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References

1974THE MAXIMAL COVERING LOCATION PROBLEM 1983A Maximum Expected Covering Location Model: Formulation, Properties and Heuristic Solution 2003Ambulance location and relocation models 1986Concepts and Applications of Backup Coverage 2001A dynamic model and parallel tabu search heuristic for real-time ambulance relocation 1997Solving an ambulance location model by tabu search 2006A multiperiod set covering location model for dynamic redeployment of ambulances 2002The generalized maximal covering location problem

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2014Time-dependent ambulance allocation considering data-driven empirically required coverage 2017Real-time ambulance redeployment approach to improve service coverage with fair and restricted workload for EMS providers 2011The large scale maximal covering location problem 2012The large-scale dynamic maximal covering location problem 2016An empirical comparison of relocation strategies in real-time ambulance fleet management

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