Underground utilities are important assets that provide basic services for society’s daily life. They are generally very complex and remain unnoticed until they fail due to any particular reason. The stakeholders involved in the design, construction, and maintenance of utility infrastructure face many problems due to the traditional underground utility management system, resulting in injuries, loss of life, disruptions, project delays, and financial loss. The problem with the traditional system is that it uses 2D drawings and keeps unreliable information or a lack of updated information, which makes it an inefficient utility management system. With the advancement in construction information technology, we can address this effectively by integrating BIM and GIS. In this paper, a novel integrated BIM-GIS framework for underground utility management systems was developed on the basis of IFC to CityGML mapping. It provides an effective underground utility management system that facilitates designers in optimization of the design, assists in the excavator’s operator by providing real-time three-dimensional spatial information during the construction process, and acts as an as-built information database for utility facility management. For validation, a real-time project case study indicated that the proposed system can effectively provide comprehensive underground utility information at different project stages.

Over the past two decades, the South Korean government has been regulating the supply and prices of multi-family housing (MFH) projects to stabilize the national population. Recently, active research has been conducted on the construction costs for basic type (CCBT) calculation to formulate appropriate policies. However, related previous studies have focused on improving the predictability of the construction cost in early stages based on existing house sale prices. In contrast, the CCBT calculation approach mainly requires policy implementation in practical fields, without considering the requirements of academics. Therefore, it is necessary to academically discuss a different approach for the estimation of sale prices of new MFH in the construction stage. This study aimed to calculate the CCBT to determine the appropriate sale price for new MFH. We selected four sample projects to calculate the CCBT, and a weighted average method was applied to correct regional deviations. Case application, which is a comparison between the CCBT-based sale price and actual case-based sale price, produced cost values in the range of 98–104%, and they included additional expenses. The results of this study demonstrate an extremely high level of cost estimation accuracy according to the Association for the Advancement of Cost Engineering study. Furthermore, this study can facilitate the stabilization of national housing by determining an appropriate sale price and can contribute to cost management research conducted during the construction phase.