Ambulances Deployment Problems: Categorization, Evolution and Dynamic Problems Review

In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to...

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Bibliographic Details
Published inISPRS international journal of geo-information Vol. 11; no. 2; p. 109
Main Authors Neira-Rodado, Dionicio, Escobar-Velasquez, John Wilmer, McClean, Sally
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.02.2022
Subjects
ambulance
Ambulances
Artificial intelligence
COVID-19
Decision making
Deployment
dispatch
emergency
Emergency medical care
Emergency medical services
Evolution
Health care expenditures
Heuristic
Hospitals
Learning algorithms
Literature reviews
location
Machine learning
Optimization
Quality of life
relocation
Reviews
Robustness (mathematics)
Stroke
Viral diseases
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Summary:In this paper, an analytic review of the recent methodologies tackling the problem of dynamic allocation of ambulances was carried out. Considering that state-of-the-art is moving to deal with more extensive and dynamic problems to address in a better way real-life instances, this research looks to identify the evolution and recent applications of this kind of problem once the basic models are explored. This extensive review allowed us to identify the most recent developments in this problem and the most critical gaps to be addressed. In this sense, it is essential to point out that the dynamic location of emergency medical services (EMS) is nowadays a relevant topic considering its impact on the healthcare system outcomes. Issues related to forecasting, simulation, heterogeneous fleets, robustness, and solution speed for real-life problems, stand out in the identified gaps. Applications of machine learning the deployment challenges during epidemic outbreaks such as SARS and COVID-19 were also explored. At the same time, a proposed notation tries to tackle the fact that the word problem in this kind of work refers to a model on many occasions. The proposed notation eases the comparison between the different model proposals found in the literature.
ISSN:2220-9964
2220-9964
DOI:10.3390/ijgi11020109