الفهرس 
COST VARIABLE AND MODELLING TECHNIQUES TRENDS - A REVIEW OF LITERATUREOnly 14 pages are availabe for public view
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Abstract
Over the last few years, Residential unites prices in Egypt have risen at a higher rate. Construction prices, on the other hand, tend to have risen broadly in line with general prices. Although extensive research has been undertaken the factors influencing construction cost, limited research has been done to investigate the full cost of buildings.
The objective of this research is to study full cost of residential buildings regarding the effect of client cost and construction cost to predict the total cost per square meter of buildings during project planning phase.
This study identified 73 cost variables influencing both construction cost and client cost extracted from literature and field review. Data were collected from 126 residential projects in Egypt. Based on the information obtained, factors were verified as having direct impact on the cost performance of residential projects.
Two techniques were then used to develop models for predicting cost deviation: statistical analysis, and multiple regression analysis. Statistical analysis is used to extract the top influencing factors. Hence multiple regression analysis is used to develop a model for a relationship between top-ranked cost variable and residential buildings cost.
It is found that Type of client and Number of storeys above ground are the most significant variables affected the total cost of residential houses. Project location, Availability of community services are the most influential factors affecting land values, while other client costs items were affected by Architect, Structural and Electro-Mechanical consultant’s and design fees and License fees existence.
All-over construction costs have been affected by Usable floor area, Type of main contractor, Project quality, however specific items have been affected by Columns spans, Upper floors systems, Walls crick types, External walls finishing’s types, Architectural decoration items type and quantity, Foundation system, Retaining walls quantity, Soil type, External service installations Specification grade, Building lifts type and number, External elevations doors and windows type, External elevations doors and windows quantity, Lowest floor construction, Internal mortar and electrical pipes existence
The analysis establishes relationships between the most significant variables and items group elements costs. The function-based model has been developed to forecast residential buildings total cost. The cost model provides guidance for the client which, could be used at the early design stage of residential projects in evaluating the total building cost of buildings focusing on client alternative options.