| Title |
A Method to Quantify the Information Flow during BIM-enabled Design Detailing |
| Authors |
Jang, Suhyung ; Lee Sungkyu ; Lee, Hyunjun ; Roh, Hyunsung ; Lee, Ghang |
| DOI |
https://dx.doi.org/10.6106/KJCEM.2025.26.1.012 |
| Keywords |
Building Information Modeling (BIM); Design Process; Process Quantification; Machine Learning |
| Abstract |
This paper introduces a novel method for quantifying changes in Building Information Modeling (BIM) object data during BIM-enabled design detailing process. A significant advantage of BIM is its ability to improve information flow, a crucial element in managing the design process. However, despite the importance of this capability, existing research lacks robust quantitative methods for monitoring the detailed stages of BIM authoring. To bridge this gap, we propose a systematic approach that involves three key steps: 1) defining the types of data changes, 2) developing a classifier to match and track BIM objects across consecutive models, and 3) applying a weighted Level of Development (LOD) framework to quantify the extent and significance of these changes. The proposed method was applied in a case study analyzing BIM models from the Schematic Design (SD), Design Development (DD), and Construction Documentation (CD) phases of a project. The results demonstrate that our approach effectively reflects and quantifies the progression of design changes between these phases. Moreover, the findings highlight the potential of this method to serve as a decision support tool, enhancing the management of the design process by providing detailed insights into the evolution and development of design details. |