As the information technologies are widely used in construction risk management, which can bring out explosive growth of data, how to organize and analyze the data becomes a crucial problem for construction managers. There are few issues to argue about the application of data mining in construction risk management. So, it is worthwhile to experiment in this particular field to manage the risks in construction projects. The major aim of this paper was to use data mining to extract implied, unknown, uncommon and potential application valuable information or patterns, which names Knowledge Discovery in Database. Therefore, correspondent effective countermeasures may be adopted in order to control the risk in construction project. First reviewed in this paper were the concepts of data mining and construction risk management. Several steps of risk management based on data mining were then shown, such as (1) identification of data mining object, (2) data preparation, (3) establishment of data mining model，(4) data mining，(5) result analysis，(6) knowledge application. Construction risk managers can apply the new knowledge with the help of data mining, thus making appropriate decisions faster, more pinpoint, and more comprehensive. Moreover, its possible applications can be extended to find effective measures in order to improve the level of other construction management.

This paper develops an alternative concession model for build operate transfer (BOT) infrastructure projects. The concession period is a measure for deciding when the project ownership will be transferred from the investor back to the government concerned; it also demarcates the benefits, authorities, and responsibilities between the government and private investors. Previous studies have developed various techniques and methods, mainly suggesting proper organization structure, contracting procedures, methods of project financing, and risk allocation strategies when BOT-contract projects are implemented. These works have provided effective methodologies for the development of BOT contracts. Nevertheless, it appears that little has been undertaken in studying the way to determine the concession period in a BOT contract. This paper critically reviews the principles of establishing the concession period in a BOT contract. Such a review leads to developing a quantitative model for determining a proper concession period that can protect the interests of both the government concerned and private investors. An example is given that indicates how the alternative model can be applied to determine the concession periods of BOT infrastructure projects.

工程建设中,业主与承包商之间存在着“委托—代理”关系。由于两者之间的信息非对称，导致了建设期道德风险的存在。借助信息经济学中的“委托—代理理论”构建了承包商道德风险模型，定量的分析了如何通过设立约束机制使业主实现利益最大化，得出了有利于提高项目管理水平的分析结论。最后提出了约束承包商败德行为的若干建议。

从施工企业成本管理的角度，研究《计价规范》和《会计准则》并行条件下，工程量清单计价对施工企业成本管理提出的新要求，并探讨工程量清单计价下施工企业成本管理应注意的问题和配套的外部环境建设问题。

建立了适合现阶段中国建筑企业的评价指标体系，并主要借鉴IMD的《世界竞争力年鉴》中的评价方法，提出了新的竞争力评价方法-固定权重排序法。最后运用此评价方法和本文建立的指标体系对江苏省大型建筑企业的竞争力进行了模拟评价。

运用记地产投资评估与决策的理论与方法，结合房地产开发项目实践，给出了房地产投资评估与决策系统的模型和结构，并进了详细的系统分析和设计，开发了一个实用化的房地产投资评估与决策系统。