Optimal ambulance location with random delays and travel times

Name: Optimal ambulance location with random delays and travel times
Author: Ingolfsson, A., Budge, S., Erkut, Erhan

İsim	Optimal ambulance location with random delays and travel times
Yazar	Ingolfsson, A., Budge, S., Erkut, Erhan
Basım Tarihi:	2008-09
Basım Yeri	- Springer Science+Business Media
Konu	Emergency medical services, Ambulance location, Facility location, Dispatch delays
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1572-9389
Kayıt Numarası	fa789b66-ea6a-4e3c-8c36-8c1242111ad3
Lokasyon	Business Administration
Tarih	2008-09
Notlar	Natural Sciences and Engineering Research Council of Canada
Örnek Metin	We describe an ambulance location optimization model that minimizes the number of ambulances needed tonprovide a specified service level. The model measures service level as the fraction of calls reached within a given time standard and considers response time to be composed of a random delay (prior to travel to the scene) plus a random travel time. In addition to modeling the uncertainty in the delay and in the travel time, we incorporate uncertainty in the ambulance availability in determining the response time. Models that do not account for the uncertainty in all three of these components may overestimate the possible service level for a given number of ambulances and underestimate the number of ambulances needed to provide a specified service level. By explicitly modeling the randomness in the ambulance availability and in the delays and the travel times, we arrive at a more realistic ambulance location model. Our model is tractable enough to be solved with general-purpose optimization solvers for cities with populations around one Million. We illustrate the use of the model using actual data from Edmonton.
DOI	10.1007/s10729-007-9048-1
Cilt	11

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Optimal ambulance location with random delays and travel times

Yazar Ingolfsson, A., Budge, S., Erkut, Erhan

Basım Tarihi 2008-09

Basım Yeri - Springer Science+Business Media

Konu Emergency medical services, Ambulance location, Facility location, Dispatch delays

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1572-9389

Kayıt Numarası fa789b66-ea6a-4e3c-8c36-8c1242111ad3

Lokasyon Business Administration

Tarih 2008-09

Notlar Natural Sciences and Engineering Research Council of Canada

Örnek Metin We describe an ambulance location optimization model that minimizes the number of ambulances needed tonprovide a specified service level. The model measures service level as the fraction of calls reached within a given time standard and considers response time to be composed of a random delay (prior to travel to the scene) plus a random travel time. In addition to modeling the uncertainty in the delay and in the travel time, we incorporate uncertainty in the ambulance availability in determining the response time. Models that do not account for the uncertainty in all three of these components may overestimate the possible service level for a given number of ambulances and underestimate the number of ambulances needed to provide a specified service level. By explicitly modeling the randomness in the ambulance availability and in the delays and the travel times, we arrive at a more realistic ambulance location model. Our model is tractable enough to be solved with general-purpose optimization solvers for cities with populations around one Million. We illustrate the use of the model using actual data from Edmonton.

DOI 10.1007/s10729-007-9048-1

Cilt 11