title: Study on the application of the Kent index method on the risk assessment of disastrous accidents in subway engineering.
abstract: With the development of subway engineering, according to uncertain factors and serious accidents involved in the construction of subways, implementing risk assessment is necessary and may bring a number of benefits for construction safety. The Kent index method extensively used in pipeline construction is improved to make risk assessment much more practical for the risk assessment of disastrous accidents in subway engineering. In the improved method, the indexes are divided into four categories, namely, basic, design, construction, and consequence indexes. In this study, a risk assessment model containing four kinds of indexes is provided. Three kinds of risk occurrence modes are listed. The probability index model which considers the relativity of the indexes is established according to the risk occurrence modes. The model provides the risk assessment process through the fault tree method and has been applied in the risk assessment of Nanjing subway's river-crossing tunnel construction. Based on the assessment results, the builders were informed of what risks should be noticed and what they should do to avoid the risks. The need for further research is discussed. Overall, this method may provide a tool for the builders, and improve the safety of the construction.
authors.affiliation: College of Defense Engineering, PLA University of Science and Technology, Nanjing 210007, China. haohaoluweifeng@gmail.com
authors.forename: Hao
authors.initials: H
authors.lastname: Lu
authors.forename: Mingyang
authors.initials: M
authors.lastname: Wang
authors.forename: Baohuai
authors.initials: B
authors.lastname: Yang
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Rong
mesh_terms: D000063:Accidents, Traffic / Q000517:prevention & control* / Q000706:statistics & numerical data*; D002681:China; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D015233:Models, Statistical; D018570:Risk Assessment / Q000379:methods*; D014186:Transportation / Q000706:statistics & numerical data*