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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2014.6
- 수록면
- 75 - 80 (6page)
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초록· 키워드
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Risks, uncertainties, and associated cost overruns are critical problems for construction projects. Cost contingency is an important funding source for these unforeseen events and is included in the base estimate to help perform financially successful projects. In order to predict more accurate contingency, many empirical models using regression analysis and artificial neural network method have been proposed and showed its viability to minimize prediction errors. However, categorical factors on contingency cannot have been treated and thus considered in these empirical models since those models are able to treat only numerical factors. This paper identified potential factors on contingency in transportation construction projects and evaluated categorical factors using the one-way ANOVA statistical method. Among factors including project work type, delivery method type, contract agreement type, bid award type, letting type, and geographical location, two factors of project work type and contract agreement type were found to be statistically important on allocating cost contingency.
목차
Abstract
1. INTRODUCTION
2. IDENTIFICATION OF FACTORS TO AFFECT COST CONTINGENCY AND DATA COLLECTION
3. DESCRIPTION OF ACCESSIBLE INPUT VARIABLES ON COLLECTED PROJECT DATA
4. DETERMINATION ON FORM OF COST CONTINGENCY
5. ONE-WAY ANALYSIS OF VARIANCE (ANOVA) METHOD
6. RESEARCH FINDINGS
7. SUMMARY AND CONCLUSIONS
REFERENCES
참고문헌 (24)
참고문헌 신청
1. [학술지(정기간행물)] - American Association of Cost Engineers (AACE)’s Risk Management Committee / 2000 / AACE International’s risk management dictionary / Cost Eng. 42 (4) : 28 ~ 31
2. [단행본] - Baccarini, D. / 2004 / The Int. Constr. Research Conf. of the Royal Institution of Chartered Surveyors / Headingley Cricket Club, Leeds
3. [학술지(정기간행물)] - Chen. D. / 2000 / A neural network approach to risk assessment and contingency allocation / AACE International Transactions : RISK.07.01 ~ RISK.07.06
4. [기타자료] - Federal Highway Administration (FHWA) / 2007 / Major project program cost estimating guidance / DC
5. [학술지(정기간행물)] - Flood, I / 2010 / Empirical modeling methodologies for construction / J. Constr. Eng. Manage. 136 (1) : 36 ~ 48
2. [단행본] - Baccarini, D. / 2004 / The Int. Constr. Research Conf. of the Royal Institution of Chartered Surveyors / Headingley Cricket Club, Leeds
3. [학술지(정기간행물)] - Chen. D. / 2000 / A neural network approach to risk assessment and contingency allocation / AACE International Transactions : RISK.07.01 ~ RISK.07.06
4. [기타자료] - Federal Highway Administration (FHWA) / 2007 / Major project program cost estimating guidance / DC
5. [학술지(정기간행물)] - Flood, I / 2010 / Empirical modeling methodologies for construction / J. Constr. Eng. Manage. 136 (1) : 36 ~ 48
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UCI(KEPA) : I410-ECN-0101-2015-500-001710485