Optimizing Fire Station Locations for the Istanbul Metropolitan Municipality

Emel Aktaş (), Özay Özaydın (), Burçin Bozkaya (), Füsun Ülengin () and Şule Önsel ()
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Emel Aktaş: Brunel Business School, Brunel University, Uxbridge, Middlesex UB8 3PH, United Kingdom
Özay Özaydın: Department of Industrial Engineering, Dogus University, Istanbul 34722, Turkey
Burçin Bozkaya: Sabancı School of Management, Sabancı University, Istanbul 34956, Turkey
Füsun Ülengin: Department of Industrial Engineering, Dogus University, Istanbul 34722, Turkey
Şule Önsel: Department of Industrial Engineering, Dogus University, Istanbul 34722, Turkey

Interfaces, 2013, vol. 43, issue 3, 240-255

Abstract: The Istanbul Metropolitan Municipality (IMM) seeks to determine locations for additional fire stations to build in Istanbul; its objective is to make residences and historic sites reachable by emergency vehicles within five minutes of a fire station’s receipt of a service request. In this paper, we discuss our development of a mathematical model to aid IMM in determining these locations by using data retrieved from its fire incident records. We use a geographic information system to implement the model on Istanbul’s road network, and solve two location models—set-covering and maximal-covering—as what-if scenarios. We discuss 10 scenarios, including the situation that existed when we initiated the project and the scenario that IMM implemented. The scenario implemented increases the city’s fire station coverage from 58.6 percent to 85.9 percent, based on a five-minute response time, with an implementation plan that spans three years.

Keywords: fire station location; set-covering problem; maximal-covering problem; geographic information system (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (6)

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