DocumentCode
2935987
Title
An Improved Unascertained Approach to Construction Accident Risk Assessment and Analysis
Author
Shi, Huawang
Author_Institution
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
Volume
1
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
610
Lastpage
613
Abstract
Construction is one of the most dangerous and risky businesses and building construction projects appear to have higher accident rates. In this paper, a new construction projects accident risk model was developed based on the unascertained number algorithm and the synthesis weights. According to human-machine engineering, the multi-index and hierarchical system of accident risk in construction projects was built and the method determining the synthesis weights of indexes including both subjective favoritism and objective information was described. Thus, qualitative knowledge and quantitative data can be integrated and quantitative change and qualitative change were to be reflected in the assessment results of accident risk in construction projects. Finally, the improved unascertained assessment approach model was constructed to assess accident risk in construction projects by combining qualitative and quantitative information over conventional or other subjective methods and was verified by a case study.
Keywords
construction; industrial accidents; building construction projects; construction accident risk assessment; human-machine engineering; improved unascertained approach; qualitative knowledge; quantitative data; synthesis weights; unascertained number algorithm; Accidents; Buildings; Construction industry; Fuzzy sets; Health and safety; Information analysis; Mathematics; Risk analysis; Risk management; Uncertainty; construction accident risk; synthesis weights; unascertained assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3859-4
Type
conf
DOI
10.1109/IITA.2009.74
Filename
5370510
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