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Cited by 257

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Source Evaluation of Solid Waste in Building Construction

Gavilan, Rafael M., Bernold, Leonhard E.·1994·Journal of Construction Engineering and Management
DOI 10.1061/(asce)0733-9364(1994)120:3(536

Abstract

The construction industry contributes a major portion of the waste stream in the United States. Both increased environmental awareness and increased cost for depositing waste have caused many construction companies to reevaluate their practices. So far, no scientific data are available for developing strategies to adjust to the changing parameters and requirements. This paper addresses one critical step in developing a comprehensive waste‐management system; the categorization and quantification of construction wastes. Several residential‐building projects were used to test a conceptual framework for studying the sources of solid wastes in one important segment of the construction industry. Three important categories of building materials—brick and block, dimensional lumber, and Sheetrock—were analyzed using a “sources‐of‐waste” framework. The presented research data indicate that solid wastes in residential construction are primarily scraps resulting from cutting dimensional stock material (e.g., lumber) to size. As will be shown, many factors are related to the amount of such process waste. Strong relationships between poor productivity and high waste generation are suggested.

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Metadata

Authors
Gavilan, R. M., & Bernold, L. E.
Venue
Journal of Construction Engineering and Management
Published
1994-09
Volume
120
Issue
3
Pages
536-552
ISSN
  • 0733-9364 (ISSN-L)
  • 1943-7862
DOI
10.1061/(asce)0733-9364(1994)120:3(536
OpenAlex
W2093673142
Cited by
257
References
0
FWCI
9.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Source Evaluation of Solid Waste in Building Construction. https://app.cochat.ai/papers/10.1061/(asce)0733-9364(1994)120:3(536
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Gavilan, R. M., & Bernold, L. E. (1994). Source Evaluation of Solid Waste in Building Construction. Journal of Construction Engineering and Management. https://doi.org/10.1061/(asce)0733-9364(1994)120%3A3(536

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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