| Summary: | 碩士 === 國立高雄應用科技大學 === 土木工程與防災科技研究所 === 104 === Pre-project planning is an important part in project life cycle and it has huge influence to all the other parts of project life cycle.
The goal of this research is to investigate the pre-project planning practice for the construction industry in Taiwan and examine the relationship between pre-project planning and project performances. This research adopted the Project Definition Rating Index (PDRI) for Taiwan’s Builing Industry, which is adapted from the PDRI research by Construction Industry Institute (CII). This research applied statistics to analyze the data of 105 building construction projects that were collected from 2009 up to the present. The data are also utilized to develop Artifical Neural Networks (ANNs) models to predict schedule performance and cost performance.
The results indicated that the PDRI completeness showed significant difference for project owners and project categories. For example, government projects had better PDRI completeness when comparing to private projects. Public assembly projects and leisure/culture/education projects, which could be classified as government project, had better PDRI completeness then hotel projects, which could be classified as private projects. Furthermore, the schedule performance prediction model created based on statistic analyzes in this study could obtain better prediction results.
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