Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/7614
Title: Optimizing fire station locations for the Istanbul metropolitan municipality
Authors: Aktas, E
Özaydın, Ö
Bozkaya, B
Ülengin, F
Önsel, Ş
Keywords: Fire station location;Set-covering problem;Maximal-covering problem;Geographic information system
Issue Date: 2013
Publisher: INFORMS
Citation: Interfaces 43(3): 240-255, Feb 2013
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.
Description: Copyright @ 2013 INFORMS
URI: http://interfaces.journal.informs.org/content/early/2013/02/21/inte.1120.0671.abstract
http://bura.brunel.ac.uk/handle/2438/7614
DOI: http://dx.doi.org/10.1287/inte.1120.0671
ISSN: 0092-2102
Appears in Collections:Business and Management
Brunel Business School Research Papers

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