Large amounts of documents are exchanged during the construction phase of projects, which covers the important management information. To utilize the exchanged documents to support decisionmaking of the management staffs, the requirement analysis was carried out based on the interviews to the practitioners. A decision support system called Explyzer+ was developed based on the previous prototype system Explyzer. The latter was enhanced by adding the functions to automate the whole process and the techniques of data mining including decision tree analysis and clustering analysis. A case study for in-depth information analysis was conducted based on the data obtained from a large construction project to demonstrate its feasibility and effectiveness. The system could effectively assist the management staffs to carry out in-depth information analysis for decision-making in construction projects.

Energy-efficient design for buildings (EEDB) is a vital step towards building energy-saving. In order to greatly improve the EEDB, the next generation EEDB software that makes use of latest technologies needs to be developed. This paper mainly focuses on establishing the model of the next generation EEDB software. Based on the investigation of literatures and the interviews to the designers, the requirements on the next generation EEDB software were identified, where the lifecycle assessment on both energy consumption and environmental impacts, 3D graphics support, and building information modeling (BIM) support were stressed. Then the workflow for using the next generation EEDB software was established. Finally, based on the workflow, the framework model for the software was proposed, and the partial models and the corresponding functions were systematically analyzed. The model lays a solid foundation for developing the next generation EEDB software.