Open Access
Gultekin, Pelin
Graduate Program:
Architectural Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
October 06, 2011
Committee Members:
  • Assoc Prof David R Riley, Thesis Advisor
  • David R Riley Ii, Thesis Advisor
  • Construction Management
  • Green Building Delivery
  • Process Metrics
Improvements in the Architecture, Engineering, and Construction (AEC) Industry, regarding building quality and process management strategies, are critical for economic, environmental, and social values. It’s vital to design and construct energy efficient buildings with improved indoor environmental quality for reduction in energy use and greenhouse gas emissions, and provide comfortable indoor environments to building occupants. Although the green building industry is improving steadily, major challenges still exist against the production of such buildings that are called high performance green. These include: lack of standards in new green technologies, high upfront building costs, and most importantly fragmented design practices in complex green project delivery process. An increasing potential lays in early interaction and integration of project team members in delivery process, to improve building performance. The delivery process for high performance green buildings, is especially important due to the increased number of design consultants and specialty contractors that must interact during design and construction. This research aimed to use quantitative methods to select statistically correlated integration variables based on level of green, cost, and schedule performance of the project. The sample set included 51 green building projects compiled from two previous research projects with similar data collection infrastructure. Owners, architects, and contractors of every project were involved in the data collection process. The distribution of delivery methods (i.e., construction management at risk, design-build, and design-bid-build) and LEEDTM certification levels (i.e., from certified to platinum) were checked before data analysis to eliminate sampling bias. Cost and schedule growth variables were also checked for normal distribution. The study yields to statistically significant corresponding weightings from 18 to 20 in-process metrics to predict project performance in each category. According to this evaluation, the most important delivery factors are choosing design-build delivery, setting an owner-initiated vision statement that includes sustainable goals, having all relevant parties in design charrettes, running energy and lighting simulations starting from conceptual phase and not later than schematics phase, owner’s capabilities on scope definition and decision making, selecting a contractor from a restrained pool, and contractor’s involvement on design development stage or earlier. These decisions are common factors that were found to impact all performance outcomes. Extracting these in-process metrics will highlight the important decisions and specific strategies need to be taken (e.g., who will be involved, when and how the involvement will occur) during the high performance green building delivery. Focusing on these indicators will shed more light into the integrative delivery process and decrease uncertainties of decision making process.