Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/95306
Title: | Optimal Emergency Vehicles Location: an approach considering the hierarchy and substitutability of resources | Authors: | Nelas, José Dias, Joana Dias |
Keywords: | Location OR in health services Emergency vehicles Uncertainty | Issue Date: | 25-Mar-2020 | Publisher: | European Journal of Operational Research | Volume: | 287 | Abstract: | Decisions on where to locate emergency vehicles have a crucial impact on the quality of the emergency service that is provided to populations, with consequences in terms of mortality and quality of life. It is important to guarantee the access of the population to emergency care, not forgetting the need to guarantee the best possible use of all available resources. In this work a new integer linear programming model is presented that aims at optimizing the location of emergency vehicles, considering in an explicit way the substitutability possibilities among vehicles of different types, taken into account the type of care they can provide. Moreover, the assignment of variables to emergency episodes is also explicitly considered which allows the model to be more accurate when calculating the expected coverage obtained. Both deterministic and stochastic models are presented. In the stochastic model, uncertainty regarding emergency episodes is represented by using scenarios. The model is applied to a dataset built considering all the features which are present in real data. | URI: | https://hdl.handle.net/10316/95306 | DOI: | 10.1016/j.ejor.2020.03.067 | Rights: | embargoedAccess |
Appears in Collections: | I&D CeBER - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Optimal Emergency Vehicles Location_ An approach considering the hierarchy and substitutability of resources.pdf | Optimal Emergency Vehicles Location_ An approach considering the hierarchy and substitutability of resources | 1.18 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
13
checked on Oct 14, 2024
WEB OF SCIENCETM
Citations
11
checked on Oct 2, 2024
Page view(s)
161
checked on Oct 15, 2024
Download(s)
160
checked on Oct 15, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License