Ambulance location for maximum survival

Title Ambulance location for maximum survival
Author Erkut, Erhan, Ingolfsson, A., Erdoğan, G.
Publication Date: 2008-02
Publication Place - Wiley
Subject Ambulancelocation, Covering models, Survival function
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 1520-6750
Record ID 885d2a0c-9177-4ba8-8ef8-763f500322d2
Library Location Business Administration
Date 2008-02
Notes NSERC
Sample Text This article proposes new location models for emergency medical service stations. The models are generated by incorporating a survival function into existing covering models. A survival function is a monotonically decreasing function of the response time of an emergency medical service (EMS) vehicle to a patient that returns the probability of survival for the patient. The survival function allows for the calculation of tangible outcome measures—the expected number of survivors in case of cardiac arrests. The survival-maximizing location models are better suited for EMS location than the covering models which do not adequately differentiate between consequences of different response times. We demonstrate empirically the superiority of the survival-maximizing models using data from the Edmonton EMS system.
DOI 10.1002/nav.20267
Cilt 55
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Ambulance location for maximum survival

Author Erkut, Erhan, Ingolfsson, A., Erdoğan, G.
Publication Date 2008-02
Publication Place - Wiley
Subject Ambulancelocation, Covering models, Survival function
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 1520-6750
Record ID 885d2a0c-9177-4ba8-8ef8-763f500322d2
Library Location Business Administration
Date 2008-02
Notes NSERC
Sample Text This article proposes new location models for emergency medical service stations. The models are generated by incorporating a survival function into existing covering models. A survival function is a monotonically decreasing function of the response time of an emergency medical service (EMS) vehicle to a patient that returns the probability of survival for the patient. The survival function allows for the calculation of tangible outcome measures—the expected number of survivors in case of cardiac arrests. The survival-maximizing location models are better suited for EMS location than the covering models which do not adequately differentiate between consequences of different response times. We demonstrate empirically the superiority of the survival-maximizing models using data from the Edmonton EMS system.
DOI 10.1002/nav.20267
Cilt 55
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