scholarly journals 6020 Analysis of Actual Building Cost(Building Economy)

Author(s):  
Tsunenobu Shinji
Keyword(s):  
2016 ◽  
Author(s):  
Jim Smith ◽  
David Jaggar ◽  
Peter Love ◽  
Oluwole Alfred Olatunji

2009 ◽  
Vol 34 (1) ◽  
pp. 26-34
Author(s):  
Joy Potthoff

The purpose of this study was to examine faculty and student satisfaction with classrooms in a university teaching facility in the Midwest, U.S.A. The two-story, 95,000 square foot (79,429.5 square meter) building cost 13.5 million dollars to build and was dedicated for use by the entire campus with no college or department given permanent classroom space. The facility's classrooms were designed to incorporate state-of-the-art communications technology including television monitors, DVD and video cassette recorders, overhead projectors and slide projectors, video presenters, and hook-ups for computers and CD, tape and other audio equipment. A post-occupancy evaluation (POE) survey of 125 faculty and 5,048 students using the facility indicated that the majority of faculty and students were satisfied with the classrooms (overall satisfaction: faculty, 65.3%F students 73.0%). However, problems were cited including: difficulty in using equipment, uncomfortable room temperatures and seating, and a sterile environment (all but three classrooms are windowless).


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Linlin Zhao ◽  
Jasper Mbachu ◽  
Zhansheng Liu

Cost estimating based on a building cost index plays an important role in project planning and cost management by providing accurate cost information. However, an effective method to predict the building cost index of New Zealand is lacking. This study proposes a transfer function method to improve the forecasting accuracy of the building cost index. In this study, the New Zealand house price index is included in the transfer function models as an explanatory variable to produce cost forecasts. The proposed method is used to estimate the building cost index of residential buildings including one-story houses, two-story houses, and town houses in New Zealand. To demonstrate the effectiveness of the proposed method, this study compares the cost forecasts generated from the transfer function models and the autoregressive integrated moving average (ARIMA) models. The results indicate that the proposed transfer function method can achieve better outcomes than ARIMA models by considering the time-lag causality between building costs and New Zealand house prices. The proposed method can be used by industry professionals as a practical tool to predict project costs and help the professionals to better capture the inherent relationships between cost and house prices.


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