Skip to main content
Log in

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

  • Case-oriented Paper
  • Published:
Journal of the Operational Research Society

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4

Similar content being viewed by others

References

  • Andreatta G and Mason FM (1994). A note on a perfect forward procedure for a single facility dynamic location/relocation problem. Opns Res Lett 15: 81–83.

    Article  Google Scholar 

  • Badri MA, Mortagy AK and Alsayed A (1998). A multi-objective model for locating fire stations. Eur J Opl Res 110: 243–260.

    Article  Google Scholar 

  • Ballou RH (1968). Dynamic warehouse location analysis. J Market Res 5: 271–276.

    Article  Google Scholar 

  • Bastian M and Volkmer M (1992). A perfect forward procedure for a single facility dynamic location/relocation problem. Opns Res Lett 12: 11–16.

    Article  Google Scholar 

  • Başar A, Çatay B and Ünlüyurt T (2009a). A backup double covering model and Tabu Search solution approach for locating emergency medical stations. Working Paper/Technical Report, Sabanci University, ID:SU_FENS_2009/0001.

  • Başar A, Çatay B and Ünlüyurt T (2009b). A new model and Tabu Search approach for planning the emergency service stations. In: Fleischmann B, Borgwardt KH, Klein R and Tuma A (eds). Operations Research Proceedings 2008: Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), University of Augsburg. Springer-Verlag: Berlin, pp. 41–46.

    Google Scholar 

  • Berman O and Krass D (2002). The generalized maximal covering location problem. Comput Opns Res 29: 563–581.

    Article  Google Scholar 

  • Brotcorne L, Laporte G and Semet F (2003). Ambulance location and relocation models. Eur J Opl Res 147: 451–463.

    Article  Google Scholar 

  • Chardaire P, Sutter A and Costa M (1996). Solving the dynamic facility location problem. Networks 28: 117–124.

    Article  Google Scholar 

  • Church RL and ReVelle CS (1974). The maximal covering location problem. Papers of the Regional Science Association 32: 101–118.

    Article  Google Scholar 

  • Current J, Ratick S and ReVelle C (1997). Dynamic facility location when the total number of facilities is uncertain: A decision analysis approach. Eur J Opl Res 110: 597–609.

    Article  Google Scholar 

  • Da Gama FS and Captivo ME (1998). A heuristic approach for the discrete dynamic location problem. Locat Sci 6: 211–223.

    Article  Google Scholar 

  • Daskin MS (1983). A maximum expected covering location model: Formulation, properties and heuristic solution. Transport Sci 7: 48–70.

    Article  Google Scholar 

  • Doerner KF, Gutjahr WJ, Hartl RF, Karall M and Reimann M (2005). Heuristic solution of an extended double-coverage ambulance location problem for Austria. Cent Eur J Opns Res 13: 325–340.

    Google Scholar 

  • Drezner Z (1995). Dynamic facility location: The progressive p-median problem. Locat Sci 3: 1–7.

    Article  Google Scholar 

  • Drezner Z and Wesolowsky GO (1991). Facility location when demand is time dependent. Nav Res Log 38: 763–777.

    Article  Google Scholar 

  • Frantzeskakis M and Watson-Gandy CDT (1989). The use of state space relaxation for the dynamic facility location problem. Ann Opns Res 18: 189–212.

    Article  Google Scholar 

  • Gendreau M, Laporte G and Semet F (1997). Solving an ambulance location model by tabu search. Locat Sci 5: 75–88.

    Article  Google Scholar 

  • Gendreau M, Laporte G and Semet F (2001). A dynamic model and parallel tabu search heuristic for real time ambulance relocation. Parallel Comput 27: 1641–1653.

    Article  Google Scholar 

  • Glover F (1977). Heuristics for integer programming using surrogate constraints. Decision Sci 8: 156–166.

    Article  Google Scholar 

  • Glover F (1990). Tabu search: A tutorial. Interfaces 20(4): 74–94.

    Article  Google Scholar 

  • Goldberg JB (2004). Operations research models for the deployment of emergency services vehicles. EMS Mngt J 1: 20–39.

    Google Scholar 

  • Harewood SI (2002). Emergency ambulance deployment in Barbados: A multi-objective approach. J Opl Res Soc 53: 185–192.

    Article  Google Scholar 

  • Hogan K and ReVelle CS (1986). Concepts and applications of backup coverage. Mngt Sci 34: 1434–1444.

    Article  Google Scholar 

  • Lodish LM (1970). Computational limitations of dynamic programming for warehouse location. J Market Res 7: 262–263.

    Article  Google Scholar 

  • Marianov V and ReVelle CS (1995). Siting emergency services. In: Drezner Z (ed). Facility Location. Springer: New York, pp. 199–223.

    Chapter  Google Scholar 

  • Rajagopalan HK, Saydam C and Xiao J (2008). A multi-period set covering location model for dynamic redeployment of ambulances. Comput Opns Res 35: 814–826.

    Article  Google Scholar 

  • Repede JF and Bernardo JJ (1994). Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky. Eur J Opl Res 75: 567–581.

    Article  Google Scholar 

  • Rosenblatt MJ (1986). The dynamics of plant layout. Mngt Sci 32: 76–86.

    Article  Google Scholar 

  • Schilling DA (1980). Dynamic location modeling for public sector facilities: A multicriteria approach. Decision Sci 11: 714–724.

    Article  Google Scholar 

  • Scott AJ (1971). Dynamic location–allocation systems: Some basic planning strategies. Environ Plann 3: 73–82.

    Article  Google Scholar 

  • Warszawski (1973). Multi-dimensional location problems. Opns Res Quart 24: 165–179.

    Article  Google Scholar 

  • Wesolowsky GO (1973). Dynamic facility location. Mngt Sci 19: 1241–1248.

    Article  Google Scholar 

  • Wesolowky GO and Truscott WG (1975). The multi-period location–allocation problem with relocation of facilities. Mngt Sci 22: 57–65.

    Article  Google Scholar 

Download references

Acknowledgements

We thank the managers and personnel of the Directorate of Instant Relief and Rescue at the Istanbul Metropolitan Municipality for their valuable collaboration in collecting the data and sharing their ideas. We are grateful to the Directorate of Strategic Planning at the Istanbul Metropolitan Municipality for supporting this research. We also thank the two anonymous referees for their constructive comments.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T Ünlüyurt.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Başar, A., Çatay, B. & Ünlüyurt, T. A multi-period double coverage approach for locating the emergency medical service stations in Istanbul. J Oper Res Soc 62, 627–637 (2011). https://doi.org/10.1057/jors.2010.5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/jors.2010.5

Keywords

Navigation