Terrestrial laser scanning (TLS) and building information modeling (BIM) play an important role as smart construction technologies introduced to increase productivity in the architecture, engineering, and construction (AEC) industry. However, these smart construction technologies have not been well introduced due to their high initial investment cost and poor performance reliability. Therefore, this study presents the results of a cost–benefit analysis to prove the investment value of terrestrial laser scanning and building information modeling. First, the reliability of this study data was increased through a case analysis of a real-world multi-project conducted by a single organization. Second, this study quantitatively proposed the economic value of terrestrial laser scanning and building information modeling by applying cost–benefit analysis (CBA). The effects of the application of terrestrial laser scanning and building information modeling on manpower input and time reduction were quantitatively analyzed through the cost–benefit analysis. The results showed that the cash value flows of terrestrial laser scanning and building information modeling could be considered to make value-for-money decisions for the adoption of terrestrial laser scanning and building information modeling in construction engineering organizations.

This study proposes a decision-making framework that integrates a routing model based on the geographic information system (GIS) and a genetic algorithm into a building-information modeling (BIM) environment to overcoming the limitations of the planning process of traditional street-based sporting events. There is a lack of research on improving the manually conducted decision-making processes for street-based sporting events. Moreover, previous routing studies were limited to GIS environments, and proposals for decision-making models integrated with BIM environments are lacking. In this study, the applicability of the framework was verified by presenting the variables of the existing GIS-based routing model as environmental variables to consider the impact of street-based sports events on a city. The evaluation model for the route selection was parameterized independently, such that its priority could be changed according to the user’s needs. Moreover, we integrated the data into BIM to create and analyze models that assess urban effects. This method is a decision-making system for policymakers and event planners to promptly conduct initial venue surveys through the technological integration of GIS–routing–BIM. Additionally, the GIS stipulated in this study can be applied to other cities. The Gwanghwamun area of Seoul, South Korea, was selected as the case study.