Assessing the Social Preference for Historic Preservation of United States Air Force Facilities

Abstract

The Air Force is required to inform the public and solicit their comments when proposing actions to historic facilities. However, the Department of Defense has been criticized for the lack of consistent and adequate public involvement in this process. This research effort developed a hierarchy to capture public's general preferences for historic preservation treatments. This information could be utilized as an early input to the decision making process. Expert participants provided inputs regarding the building characteristics which influence historic preservation decisions, the objectives of preservation, and the treatments which are applied to historic buildings. Focus group discussions were conducted with members of the public to gather qualitative data about historic preservation. Experts and members of the interested public completed questionnaires consisting of pairwise comparisons. The questionnaires provided the data needed to determine preferences for the building characteristics, action objectives, and treatments. The results of the research were weighted priorities for historic preservation treatments based on specific combinations of building characteristics.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA334355

Entities

People

  • Patrick R. Breax

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Business Administration
  • Classification
  • Delphi Method
  • Department Of Defense
  • Electronic Mail
  • Geographic Regions
  • Governments
  • Historic Preservation
  • Historic Sites
  • Law
  • Management Personnel
  • Personnel Management
  • Students
  • United States
  • Word Processors

Readers

  • Environmental Impact Assessment (EIA) of Proposed Air Force Base Actions.
  • Organizational Process Management (OPM).
  • Regression Analysis.