Showing papers on "Occupancy published in 1984"

Toward a better understanding of hospital occupancy rates.

Abstract: This article starts out with the premise that a “uniform occupancy rate” for hospitals is not a meaningful concept because the ability of individual hospitals to maintain a certain occupancy rate consistent with a specified “protection level” depends upon several factors. These factors include hospital size, the number of nonsubstitutable patient facilities, the percent of nonurgent (elective) beds, the number of hospitals serving an area, and the relative variation (fluctuation) in the demand for services faced by the hospital. A regression analysis with observed, overall occupancy rate as the dependent variable, and measures that attempt to represent the factors just mentioned as independent variables, tends to substantiate this line of reasoning. However, inasmuch as the status of the independent variables (that is, whether or not they can be regarded as justifiable or uncontrollable) depends largely on the circumstances of each case, the regression model cannot be used as a standard-setting tool. Nonetheless, it offers valuable guidelines for hospital management, planners, and regulators in such areas of decisionmaking as the location and size of hospitals, and acceptable occupancy standards.

Analyses of the Fire Protection Costs

Abstract: This report presents an analysis of the costs of fire protection in the "electrical and mechanical" works. The fire protection investment rate, the number of stories and the gross floor area, for each occupancy extracted from a data base, are shown by using the single variate and correlation analyses. The results of the analyses show that the fire protection investment rate has a wide range of variation, particularly in shops and industries, and that no correlation is found between the number of stories or the gross floor area and the fire protection investment rate in any occupancy.Principal Component Analysis (PCA) and Cluster Analysis have been employed to determine the subjects of further detailed researches. By using PCA, five new characteristic features of the newly defined forty-two occupancies are discussed from fifteen variables, i.e. twelve different costs for fire protection items, the fire protection investment rate*, a specific space inside a building and a specific height of a building. The forty-two occupancies are then grouped together into eight clusters systematically, by using Cluster Analysis.Taking the above-mentioned results into consideration, office buildings are then chosen for further detailed researches.