Graduate Thesis Or Dissertation
Attribute-based Risk Model for Assessing Risk to Industrial Construction Tasks Public Deposited
https://scholar.colorado.edu/concern/graduate_thesis_or_dissertations/b8515n744
- Abstract
- Due the saturation of the traditional injury prevention strategies in the industry, risk-based safety innovations are emerging. However, application of risk-based strategies is very limited because: (1) there is a dearth of robust empirical databases; (2) the granularity of risk analysis methods is limited to trade/task-level risks; and (3) interactions among risk factors is not considered. In order to address these limitations, this thesis focuses on quantifying attribute-level risks for industrial construction projects using empirical data contained in 1,611 injury reports. An iterative content analysis was employed with a team of analysts in order to identify attributes, outcomes, and energy sources. The resulting data were analyzed, along with an exposure database provided from industry, in order to quantify relative risks. Finally, a Monte Carlo simulation was performed in order to interpret the risk of new safety scenarios.
- Creator
- Date Issued
- 2014
- Academic Affiliation
- Advisor
- Committee Member
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- Commencement Year
- Subject
- Last Modified
- 2019-11-18
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attributeBasedRiskModelForAssessingRiskToIndustrialConst.pdf | 2019-11-18 | Public | Download |