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한국건설관리학회 / v.9, no.6, 2008년, pp.268-276 
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( Multiple Regression Technique for Productivity Analysis of the Jointed Plane Concrete Pavement (JPCP) ) |
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| 초 록 |
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| In highway construction projects, concrete pavement productivity has been challenged with constructors and decision-makers; at present there are few methods available to accurately evaluate the factors impacting on it. Any inefficient method to analyze it leads to the excessive schedule, higher rehabilitation costs, shorter service life, and reduction of ride quality. To implement these negative outcomes, constructors or decision-makers need a systematic tool that can be used to categorize the factors related to construction productivity. This paper applies multiple regression technique for productivity analysis of the Jointed Plane Concrete Pavement (JPCP), identifies the significant factors, and provides a predictive model assisting in monitoring and managing the productivity of the JPCP construction process. The completed and progressive projects are employed to derive and assess the proposed model. The results are analyzed to illustrate its capabilities. |
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| 키워드 |
| Jointed Plain Concrete Pavement;multiple regression technique;predictive model;productivity analysis;significant factors; |
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한국건설관리학회논문집 / v.9, no.6, 2008년, pp.268-276
한국건설관리학회
ISSN : 2005-6095
UCI : G100:I100-KOI(KISTI1.1003/JNL.JAKO200811237158700)
언어 : 영어 |
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| 논문 제공 : KISTI 한국과학기술정보연구원 |
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