Study of effects of facility damage on hospital capacity estimates and location-allocation planning for management of natural disasters [electronic resource] /

by Paul, Jomon Aliyas.

Abstract (Summary)
Summary: Estimation of the impact of damage to the hospitals due to a natural disaster is very important since it allows for planning prior to and shortly after the disaster strikes. These estimates could also be used to plan new facilities and capacity reallocation between existing facilities. The dissertation is divided into three parts. In the first part, the impact from facility damage due to a natural disaster like an earthquake or hurricane to the hospital capacity estimates is estimated. A recent paper by Yi et al. (2005) contains a generic hospital simulation model. This model is extended to incorporate a facility damage component and estimate the corresponding effect on patient waiting times and capacity estimates. A hospital, unlike many other service organizations, is more affected by non structural damage than structural damage. Non structural components in the hospital like power, water and medical resources, if damaged, can render the hospital useless. In the second part the effect of capacity reductions on planning of the hospital facility location and capacity allocation in a region prone to natural disaster is incorporated. Two basic models are developed and analyzed for hospital location and capacity allocation. The focus is on an area prone to natural disasters. The first model seeks to locate hospitals and allocate capacities so that the mean travel distance for patients to hospitals is minimized over a variety of disaster scenarios. The second model seeks to reallocate capacity among hospitals so as to maximize the system's effectiveness to the forthcoming disaster event. In the third part the effect of damage to the transportation network on the hospital location and capacity allocation problem is studied. Various scenarios of road damage are simulated for the earthquake and hurricane disaster. The results are demonstrated via examples and case studies. Once a disaster strikes, people tend to move out of their current location so as to reach a better and safer location. This displaced population is mainly the noninjured and low severity people. The Roads become congested leading to increased travel times. This directly affects the disaster relief meted out to the casualties. This factor is incorporated in the capacity reallocation model via a simulation model. (Abstract shortened by UMI.)
Bibliographical Information:


School:State University of New York at Buffalo

School Location:USA - New York

Source Type:Master's Thesis



Date of Publication:

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