Ambulance location for maximum survival

Name: Ambulance location for maximum survival
Author: Erkut, Erhan, Ingolfsson, A., Erdoğan, G.

İsim	Ambulance location for maximum survival
Yazar	Erkut, Erhan, Ingolfsson, A., Erdoğan, G.
Basım Tarihi:	2008-02
Basım Yeri	- Wiley
Konu	Ambulancelocation, Covering models, Survival function
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1520-6750
Kayıt Numarası	885d2a0c-9177-4ba8-8ef8-763f500322d2
Lokasyon	Business Administration
Tarih	2008-02
Notlar	NSERC
Örnek Metin	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

Kaynağa git Özyeğin Üniversitesi

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Özyeğin Üniversitesi

Kaynağa git

Ambulance location for maximum survival

Yazar Erkut, Erhan, Ingolfsson, A., Erdoğan, G.

Basım Tarihi 2008-02

Basım Yeri - Wiley

Konu Ambulancelocation, Covering models, Survival function

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1520-6750

Kayıt Numarası 885d2a0c-9177-4ba8-8ef8-763f500322d2

Lokasyon Business Administration

Tarih 2008-02

Notlar NSERC

Örnek Metin 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