Assessment model on environmental economics for construction projects in Korea

This study aims to propose an assessment model for environmental economics that will provide useful information for decision-making on the implementation of pro-environmental and economical construction projects. To meet this objective, this study suggests a procedure for estimating the environmenta...

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Bibliographic Details
Published in:KSCE journal of civil engineering 2012, 16(4), , pp.505-516
Main Authors: Kwon, Suk-Hyun, Kim, Kyong Ju, Kim, Kyoungmin, Cho, Namho
Format: Article
Language:English
Subjects:
Assessments
Civil Engineering
Construction
Construction costs
Construction industry
Contingent valuation
Cost engineering
Decision making
Economic analysis
Economic models
Economics
Engineering
Environmental aspects
Environmental economics
Geotechnical Engineering & Applied Earth Sciences
Industrial Pollution Prevention
Information dissemination
Pollutants
Project engineering
Research Paper
Sustainability
Sustainability management
Sustainable development
토목공학
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Description
Summary:This study aims to propose an assessment model for environmental economics that will provide useful information for decision-making on the implementation of pro-environmental and economical construction projects. To meet this objective, this study suggests a procedure for estimating the environmental cost of construction projects. The model combines environmental load assessment and environmental value assessment. The environmental cost of pollutants generated from a construction project was estimated utilizing Contingent Valuation Method (CVM), a value assessment method borrowed from economic science. A case analysis was subsequently conducted to verify the applicability of the proposed model to actual construction projects. The devised model is expected to provide a useful methodology that will scientifically support the planning and management of sustainable construction not only in terms of the environmental aspect but also of the economical aspect.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-012-1363-5