Development Of CBR-Based Road Construction Project Cost Estimation System

Autor: Yoo Sub Lee, Tai Kyung Kang, Wonyoung Park
Rok vydání: 2011
Předmět:
Zdroj: 28th International Symposium on Automation and Robotics in Construction (ISARC 2011).
ISSN: 2413-5844
DOI: 10.22260/isarc2011/0243
Popis: Compared with the method of predicting the detailed construction cost based on the information of the detailed quantities derived from the completed work drawings and specifications, the method of predicting the approximate estimate based on facility specification or approximate design information, etc. at the stage before the drawings and specifications are completed tends to rely greatly on the subjective judgment of the person in charge of construction cost prediction, which is low in its objectivity accordingly. This study is aimed at exploring approximate estimate prediction model by types and stages of construction work, and then developing a WEB-based approximate estimation system thereon. This system is based on a scientific methodology such as CBR or regression model, etc. by means of facility specification and construction work characteristics in predicting the typical work type approximate quantities or approximate estimate, and is therefore expected to contribute to improving the accuracy in the prediction of approximate estimate and the advancement of such process. In addition, there would be an effect from the aspect of transparency of business as the user can easily access to the internet and receive the approximate estimate prediction result in an objective and consistent manner.
Databáze: OpenAIRE