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A methodology for predicting the severity of environmental impacts related to the construction process of residential buildings

Gangolells, M., Casals, M., Gassó, S., Forcada, N., Roca, X. and Fuertes, A. ORCID: https://orcid.org/0000-0002-6224-1489 (2009) A methodology for predicting the severity of environmental impacts related to the construction process of residential buildings. Building and Environment, 44 (3). pp. 558-571. ISSN 0360-1323

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To link to this item DOI: 10.1016/j.buildenv.2008.05.001

Abstract/Summary

This paper introduces a systematic approach for dealing with potential adverse environmental impacts at the pre-construction stage. The proposed methodology serves as an assessment tool for construction projects to measure the environmental performance of their construction activities. It also provides a consistent basis for comparisons and for future eco-labelling and environmental benchmarking among construction companies and construction sites. Within the methodological framework, nine categories of environmental aspects are proposed: atmospheric emissions; water emissions; waste generation; soil alteration; resource consumption; local issues; transport issues; effects on biodiversity; and incidents, accidents and potential emergency situations. The methodology includes 20 performance indicators developed with the help of a panel of experts. In order to avoid a typical shortcoming in environmental assessments methods, these environmental indicators, both direct and indirect, are always based on quantitative data available in the project documents. Significance limits for environmental aspects are also developed based on a statistical analysis of 55 new-start construction projects. Four case studies are provided to illustrate the practical use of the proposed methodology.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Science > School of the Built Environment > Construction Management and Engineering
Science > School of the Built Environment > Energy and Environmental Engineering group
Science > School of the Built Environment > Organisation, People and Technology group
ID Code:105813
Publisher:Elsevier

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