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dc.contributor.authorErkut, E.en_US
dc.contributor.authorIngolfsson, A.en_US
dc.contributor.authorErdoğan, G.en_US
dc.date.accessioned2016-02-08T10:10:22Z
dc.date.available2016-02-08T10:10:22Z
dc.date.issued2008en_US
dc.identifier.issn0894-069X
dc.identifier.urihttp://hdl.handle.net/11693/23212
dc.description.abstractThis 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.en_US
dc.language.isoEnglishen_US
dc.source.titleNaval Research Logisticsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1002/nav.20267en_US
dc.subjectAmbulance locationen_US
dc.subjectCovering modelsen_US
dc.subjectSurvival functionen_US
dc.titleAmbulance location for maximum survivalen_US
dc.typeArticleen_US
dc.departmentDepartment of Industrial Engineeringen_US
dc.citation.spage42en_US
dc.citation.epage58en_US
dc.citation.volumeNumber55en_US
dc.citation.issueNumber1en_US
dc.identifier.doi10.1002/nav.20267en_US
dc.publisherJohn Wiley & Sonsen_US
dc.identifier.eissn1520-6750


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