OR Insight

, Volume 24, Issue 2, pp 77–89 | Cite as

Siting new fire stations in Istanbul: A risk-based optimization approach

  • Bülent Çatay
Original Article

Abstract

The locations of emergency medical service and fire stations are of paramount importance in order to achieve an effective and reliable emergency response system. As communities grow and demographics change, it may become necessary to replace existing stations or add more stations to satisfy the increasing public demands for emergency responses. With its fast growing population, new urban developments, and heavy traffic conditions, the location planning problem for new fire stations has recently gained greater importance for the City of Istanbul. In this article, we describe an integer programming-based approach to address this problem. We formulate the problem as a dynamic risk-based multiple coverage model. In this model, the demand regions are required to be serviced from two or three stations within the desired time limits according to the risk categories they are associated with. We first identify the risk category of each region and then solve the model to optimally determine the locations for the new fire stations. The results show that new fire stations can be sited more effectively utilizing the described optimization approach.

Keywords

location fire stations maximal coverage backup coverage emergency services integer programming 

Notes

Acknowledgements

This article is based on a project sponsored by the ‘My Project Istanbul’ Programme of the Directorate of Strategic Planning at the Istanbul Metropolitan Municipality. We thank the personnel of the Department of Research, Planning and Coordination at the Istanbul Fire Brigade for their valuable collaboration. We also thank two anonymous referees for their constructive comments, which helped to improve the article.

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Copyright information

© Operational Research Society 2011

Authors and Affiliations

  • Bülent Çatay
    • 1
  1. 1.Faculty of Engineering and Natural Sciences, Sabanci UniversityTuzla, Istanbul

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