Author
Ingolfsson, A., Budge, S., Erkut, Erhan
Publication Date
2008-09
Publication Place
-
Springer Science+Business Media
Subject
Emergency medical services, Ambulance location, Facility location, Dispatch delays
Type
Periodical
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
1572-9389
Record ID
fa789b66-ea6a-4e3c-8c36-8c1242111ad3
Library Location
Business Administration
Date
2008-09
Notes
Natural Sciences and Engineering Research Council of Canada
Sample Text
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
