Developing and validating a decision support system for locating emergency medical vehicles in Louisville, Kentucky

Decreasing the elapsed time to respond to an emergency is a goal of Emergency Medical Services (EMS). The size of the ambulance fleet and the location of ambulances within the service area are two factors that the EMS planners can control; these two factors directly affect the systems response time...

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Bibliographic Details
Published in:European journal of operational research 1994-06, Vol.75 (3), p.567-581
Main Authors: Repede, John F., Bernardo, John J.
Format: Article
Language:English
Subjects:
Anesthesia. Intensive care medicine. Transfusions. Cell therapy and gene therapy
Biological and medical sciences
Emergency and intensive care: techniques, logistics
Health services
Intensive care medicine
Intensive care unit. Emergency transport systems. Emergency, hospital ward
Location
Mathematical programming
Medical sciences
Practice
Simulation
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Summary:Decreasing the elapsed time to respond to an emergency is a goal of Emergency Medical Services (EMS). The size of the ambulance fleet and the location of ambulances within the service area are two factors that the EMS planners can control; these two factors directly affect the systems response time and contribute to the attainment of this goal. In this paper, a maximal expected coverage location model with time variation (TIMEXCLP) is developed and integrated into a decision support system (DSS) to aid EMS planners to allocate vehicles within their service area. In applying TIMEXCLP to the Louisville, Kentucky, EMS system, response time was decreased by 36%.
ISSN:0377-2217
1872-6860
DOI:10.1016/0377-2217(94)90297-6