英文摘要 |
Risk Analysis begins with the development of industry, and is used to prevent unexpected accidents losses. Risk quantification usually requires sufficient historic data and statistical methods to evaluate the probability and the consequence of events. Because the information of risk events is not easily collected in construction industry, the quantitative risk analysis is hardly possible. Developing a risk quantification tool based on the subjective judgment of experts is necessary for cost-benefit analysis and accident prevention strategy. This study proposes a risk quantification method, which combines influence diagram and fuzzy theory. At first, risk factors of a construction accident should be decomposed to hierarchically using concepts of influence diagram. Second, fuzzy inference rules are used to describe the relations among risk factors. After defuzzification, the possibility of accident risk could be obtained and further transformed to the probability by applying Onisawa’s formula. Finally, the quantitative risk can be estimated by the product of the probability and loss estimation. An example of formwork-shoring is shown in our study. Several analyses such as sensitivity and uncertainty are conducted through this approach, such that risk factors could be clearly identified and improved to reduce accident risk. In addition, cost-benefit analysis is accomplished by calculating risk costs, safety investments and total costs in order to determine optimized investment scheme. |