| Title |
Forecasting Rebar and Concrete Demand Using Big Data Approach |
| Authors |
박환표(Park, Hwan-Pyo) ; 김재도(Kim, Jae-Do) ; 강준혁(Kang, Jun-Hyuk) ; 김태환(Kim, Tae-Hwan) |
| DOI |
https://doi.org/10.5659/JAIK.2024.40.11.281 |
| Keywords |
Construction Material Demand Forecasting; Big Data; Building Construction GDP; Regression Analysis |
| Abstract |
This study developed a model to predict the demand for construction materials, focusing on rebar and concrete, using building permit data. It
utilized big data sources such as GDP in the building construction industry, building permits, and housing permits to create a demand
forecasting model based on a standard process chart and a data collection system. This approach projected trends in the construction
industry's GDP and forecasted demand for construction starts, allowing for estimates of rebar and concrete requirements. |