@article{ref1,
title="Methods for solving nonlinear equations used in evaluating emergency vehicle busy probabilities",
journal="Operations research",
year="1991",
author="Goldberg, Jack and Szidarovszky, F.",
volume="39",
number="6",
pages="903-916",
abstract="In this paper we present two iterative methods for solving a model to evaluate busy probabilities for Emergency Medical Service (EMS) vehicles. The model considers location dependent service times and is an alternative to the mean service calibration method; a procedure, used with the Hypercube Model, to accommodate travel times and location-dependent service times. We use monotonicity arguments to prove that one iterative method always converges to a solution. A large computational experiment suggests that both methods work satisfactorily in EMS systems with low ambulance busy probabilities and the method that always converges to a solution performs significantly better in EMS systems with high busy probabilities.<p /> <p>Language: en</p>",
language="en",
issn="0030-364X",
doi="",
url="http://dx.doi.org/"
}