Cost of Recycling Waste Material from Family Housing.

Abstract

The purpose of this research was to determine the cost of recycling waste from a selected family housing area at Fort Bragg through source separation in order to evaluate the feasibility of solid waste recovery and recycling at a military installation. This report presents (1) analysis of the waste volume and composition from the Normandy Heights area at Fort Bragg, (2) data showing the current cost of refuse collection and disposal in the Normandy Heights area, (3) a market analysis for recyclable material in the Fort Bragg area, and (4) a design for the recyclable material recovery strategy that was tested and the costs associated with this strategy, (5) participation rates of Normandy Heights residents, (6) waste reduction rates, and (7) collection labor data. It was found that recycling by source separation could be cost-effective, could reduce the amount of refuse to be landfilled, and could decrease the number of weekly collections. It was established that military family housing refuse is comparable to that of the civilian sector and that military personnel are willing to participate in a source separation recycling program. The research indicated that experienced personnel should collect recyclables. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA045421

Entities

People

  • B. A. Donahue
  • E. D. Smith
  • G. W. Schanche
  • R. E. Freeman
  • S. E. Kloster

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Contractors
  • Department Of Defense
  • Education
  • Engineering
  • Engineers
  • Environmental Protection
  • Families (Human)
  • Materials
  • Military Families
  • Military Personnel
  • New York
  • Personnel Management
  • Public Relations
  • Recycled Materials
  • Statistical Analysis
  • Waste Collection
  • Waste Management

Readers

  • Energy Conservation and Renewable Energy Engineering.
  • Environmental Engineering.
  • Mathematics or Statistics