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

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 stati...

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Bibliographic Details
Published in:The Journal of the Operational Research Society 2011-04, Vol.62 (4), p.627-637
Main Authors: BASAR, A, CATAY, B, ÜNLÜYURT, T
Format: Article
Language:English
Subjects:
Ambulances
Applied sciences
Biological and medical sciences
Business and Management
Case studies
Case-oriented Paper
Case-oriented Papers
Emergency medical care
Emergency services
Exact sciences and technology
Gas stations
General aspects
Geographic regions
Health and social institutions
Heuristics
Iterative solutions
Location analysis
Logistics
Management
maximal covering
Medical sciences
multi-period backup double covering
Objective functions
Operational research and scientific management
Operational research. Management science
Operations research
Operations Research/Decision Theory
Optimal solutions
Planification. Prevention (methods). Intervention. Evaluation
Planning
Population
Public health. Hygiene
Public health. Hygiene-occupational medicine
Studies
Taboos
Tabu Search
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Description
Summary: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.
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.2010.5