Predicting Environmental Performance of Construction Projects by Using Least-Squares Fitting Method and Robust Method
Author(s) -
Vivian W.Y. Tam,
Khoa N. Le
Publication year - 2007
Publication title -
journal of green building
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.248
H-Index - 21
eISSN - 1943-4618
pISSN - 1552-6100
DOI - 10.3992/jgb.2.1.143
Subject(s) - measure (data warehouse) , environmental resource management , environmental impact assessment , engineering , operations research , computer science , environmental science , data mining , ecology , biology
Recently, an Environmental Management System (EMS) has been used to promote effective environmental protection. Environmental Performance Assessment (EPA) is a critical tool of the EMS in checking, reviewing, monitoring and evaluating environmental performance of organizations. To implement EPA, the relations between Environmental Operational Indicators (EOIs) used in EPA and Environmental Performance Indicators (EPIs) are required, which, however, are lacking in the construction industry. This paper attempts to develop a series of EOIs and EPIs of individual construction projects for EPA and to measure their relations by using least-squares fitting and robust fitting methods. The results show that the defined EOIs correlate strongly with EPIs. Therefore, EPA can be used to identify areas for continuous improvement, and also can provide an early indication of the environmental performance for an organization.
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