| Summary: | 碩士 === 國立交通大學 === 土木工程系 === 91 === In every year, more than one fourth of the government budget is allocated to public construction projects. The amount of construction budgets greatly influences on macroeconomic policies and the quality of people’s life.
The specialized reviewing and budgeting job performed by the Public Construction Commission (PCC) on these construction projects plays an essential role. However, the current system can’t clearly illustrate what items should be reviewed and how much the amount of money should be budgeted. Therefore, this study proposes a utility-based model to support the reviewing and budgeting jobs. 22 project reviewing items and their weights are first identified through questionnaires and expert interviews. The PCC engineer can review the project by checking the completeness and integrity of these reviewing items. After establishing the utility functions for each items and the whole project, and deriving a simulated cost distribution of the specific project, a particular of amount of budget is suggested to the model user (i.e., PCC engineer). To apply to general cases, an alternative model to calculate the suggested amount of budget using neural networks based on hypothetic data is also proposed. The strengths of this reviewing and budgeting model are identified by applying it to a practical building project.
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