PURPOSES : This study aimed to provide a method for linking VE/LCC/LCA and BIM and to develop a system for BIM-based VE/LCC/ LCA evaluation. METHODS : Based on literature reviews and case studies, we propose bridge hierarchies for sharing and integrating VE/LCC/LCA and BIM information and standard unit price and equipment workloads for LCC and LCA analysis. We further developed a BIM library to visualize various ideas and alternatives. RESULTS : The results of the proposed system demonstrate that the VE can be systemized and the original draft and alternatives can be visually provided via the BIM library. In addition, the LCC cost can be calculated by the automatic volume calculation of the bridge BIM library and the LCA can be calculated using the materials and equipment (these are BIM attribute information). CONCLUSIONS : The developed method can be more reliable and productive of VE, LCC, and LCA work owing to the partial automation and visualization of the developed system.

PURPOSES : This study is a method for developing a 3D stratum modeling that uses Civil3D, CAD, Revit, and Dynamo, the products of Autodesk and ground survey data to prevent reversal and applying BIM design to underground structures. METHODS : If the ground level difference is severe and the survey data is not sufficiently spaced, a reversal phenomenon occurs such that the stratum is generated above the surface ground. In such cases, the first layer of the stratum can be offset from the ground surface and the remaining layers are created and utilized by the stratum thickness. However, the first layer is just offset from the ground surface, which is not an accurate implementation of geological information. To fix this error, we propose a method to calculate the quantity in 3D based on the algorithm that generates the stratum underneath the original ground surface connected with borehole data. RESULTS : The 3D stratum is designed to be implemented within 30 min with minimum memory resource occupancy. The ground surface is generally based on a digital map and can be linked with a drone and 3D scan data afterwards. The stratum model for each layer can be implemented in both a triangulated irregular network (TIN) and solid for quantity and volume calculations. Each layer will be generated in selected colors, and analysis on altitude, gradients, etc. can be performed with it. CONCLUSIONS : Constructing 3D spatial information using 2D information is expected to lay the foundation for providing required services in construction, real estate, architecture, urban planning, and transportation in the future, to users with integration and convergence into various fields such as BIM, smart city, digital twin, and VR-AR.