Implementing a mathematical model for locating EMS vehicles in fayetteville, NC

Emergency medical services (EMS) aims to reduce the elapsed time to respond to an emergency. The number and location of vehicles within the service area, directly affect the attainment of this goal. In this paper, we focus on a mathematical modeling approach for locating/allocating emergency vehicle...

Full description

Saved in:
Bibliographic Details
Published in:Computers & operations research 2004-08, Vol.31 (9), p.1549-1563
Main Authors: Tavakoli, Asad, Lightner, Constance
Format: Article
Language:English
Subjects:
Bicriterion
Cities
Covered demand
Emergency services
Expected coverage
Mathematical models
Operations research
Response time
Set covering
Statistical analysis
Vehicles
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Emergency medical services (EMS) aims to reduce the elapsed time to respond to an emergency. The number and location of vehicles within the service area, directly affect the attainment of this goal. In this paper, we focus on a mathematical modeling approach for locating/allocating emergency vehicles and facilities in a manner that increases the number of calls that are answered within the 8-min national average. This model was applied to the EMS system in the city of Fayetteville, North Carolina, and results indicate that the average response time can be significantly improved through strategically allocating vehicles throughout the service area.
ISSN:0305-0548
1873-765X
0305-0548
DOI:10.1016/S0305-0548(03)00108-4