Studies for the Development of a Space Utilization Index.

Abstract

This report presents the findings of a study to determine the feasibility of developing a space utilization indexing methodology for Army facilities. The objective of this methodology would be to provide Army planners a reliable indicator of how effectively real property is being utilized. A properly developed index, compiled from timely, accurate data and including adjustment factors to compensate for special space utilization circumstances at given facilities, could enable planners to compare space utilization Army-wide or within a Major Army Command (MACOM). Such a capability could enhance space utilization decisions as the Army continues to use its real property more efficiently and effectively. The findings of a literature search indicated that no valid space utilization indexing method now exists. The authors developed and tested a prototype indexing methodology based on a ratio analysis method. This prototype, called RAM 1, was not effective due to constraints inherent in the problem of indexing the utilization of diverse spaces. More complex algorithms and adjustment factors might be developed, but the authors conclude that this approach could compromise the index's integrity or credibility. An economics-based approach and benchmarking are proposed as two possible alternatives to a purely statistical indexing approach.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA302171

Entities

People

  • Charles G. Schroeder
  • Gordon L. Cohen
  • Joyce Baird
  • K. B. Roberts

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Army Facilities
  • Base Closures
  • Business Administration
  • Construction
  • Economics
  • Engineering
  • Geographic Information Systems
  • Indicators
  • Information Systems
  • Management Personnel
  • Models
  • Organizational Structure
  • Prototypes
  • Regression Analysis
  • Statistical Analysis
  • Weight

Readers

  • Computational Modeling and Simulation
  • Library and Information Science
  • Systems Analysis and Design

Technology Areas

  • Space