Understanding the issues of project cost and time in sustainable construction from a general contractor's perspective: case study

The green building market has seen tremendous growth in the past decade. Organizations such as the US Green Building Council have emerged to become a dominant leader in the building industry. Although the green building rating systems are cross-disciplinary, much of the focus has been directed towards design-related input. General Contractors play an important role in delivering successful sustainable construction projects. If an integrated project delivery method is chosen, the General Contractor may offer insightful preconstruction assistance by providing ideas on green construction methods and materials. As sustainable building practices become more prominent in the construction industry, General Contractors must remain knowledgeable on current green building standards in order to stay competitive. Two of the most important aspects of business for a General Contractor involve time and money. Through qualitative literature review and quantitative results from a case study, this research analyzes time and cost in sustainable construction projects from a General Contractor's perspective. The research also examines whether the management of a sustainable construction project is substantially different than a non-sustainable construction project for a General Contractor. Finally, because the green building process involves multiple parties, the collaboration effort from all parties involved in a green building project will be studied.

Department dc:contributor.department

Building Construction

Grantor dc:publisher

Georgia Institute of Technology

Year dc:date.issued

2010

Author dc:creator

• Weeks, Jason A.

Advisor dc:contributor.advisor

• Thomas, Linda

Committee member dc:contributor.committeemember

• Roper, Kathy O.

• Building construction
• Green building
• Sustainable construction

Handle dc:identifier.uri

http://hdl.handle.net/1853/33914

OAI identifier oai:identifier

oai:repository.gatech.edu:1853/33914